GMI Computing US Inc. announced that it has raised $223 million in a round of funding led by new investor ARCHIV on September 30, 2026. The transaction also included participation from new investors NVIDIA Corporation, DSC Investment, Trend Micro Incorporated, KB Investment Co., Ltd, Kyobo Life Insurance Co., Ltd., KT Corporation and others. The company issued convertible preferred shares in this transaction.

Cspeed, Inc. announced that it has received $145 million in a round of funding co-led by new investors Atreides Management, LP, Valor Management LLC and Premji Invest on September 30, 2026. The transaction also included participation from new investors, Intel Capital Corporation, NVIDIA Corporation, returning investors Maverick Silicon GP, LLC and Sutter Hill Ventures. The company has issued convertible preferred shares in the transaction.

Delta Electronics announced a collaboration with NVIDIA to accelerate the development of smarter, safer, and more efficient next-generation autonomous driving systems. This collaboration combines Delta's superior expertise in automotive energy management, xEV powertrain systems, in-vehicle high-performance computing (HPC) capabilities, and system integration with NVIDIA Hyperion and the NVIDIA Halos safety system. This collaboration is expected to strengthen the synergies between the two companies in autonomous driving across technology, ecosystem development, and market opportunities. Delta will combine its automotive prowess and system integration capabilities with NVIDIA Hyperion supported by NVIDIA's dedicated engineering team, to elevate the development of autonomous driving solutions. Together, the two companies aim to develop AI-driven autonomous driving solutions and accelerate growth in the smart mobility market.

NVIDIA Corporation Presents at SCTE Tech Expo26, Sep-29-2026 . Venue: Atlanta, Georgia, United States.

NVIDIA Corporation Presents at American Growth Summit, Sep-29-2026 . Venue: The Willard InterContinental Grand Ballroom, 1401 Pennsylvania Ave NW, Washington Dc, District Of Columbia, United States. Speakers: Bruce Andrews, Chief External Affairs Officer.

Meta Platforms, Inc. announced the launch of Meta Enterprise Platform, a new business pillar designed to help organizations leverage AI for growth and transformation. Meta Enterprise Platform will leverage the company's core strengths in advanced AI models, leading agents, and large-scale infrastructure. The platform will initially make available Meta's full technology stack to businesses and developers, including the Muse agent, Meta Business Agent, Muse API, and Muse Code. These tools are intended to help organizations scale and transform their operations.

Meta Platforms, Inc. announced the launch of Meta Enterprise Platform, a new business pillar designed to help organizations leverage AI for growth and transformation, and appointed Chirantan Desai as Chief Enterprise Platform Officer, effective September 28, 2026. Desai will report directly to Meta founder and CEO Mark Zuckerberg. The appointment marks a significant expansion of Meta's focus on enterprise customers. Desai brings extensive experience in building full-stack software solutions, with particular expertise in AI, infrastructure, business applications, and security. Most recently, Desai served as President and CEO of MongoDB, a database software company. Prior to that role, he led product and engineering at Cloudflare, a web infrastructure and security firm. Desai also spent nearly eight years at ServiceNow, including a tenure as President and Chief Operating Officer.

TrendAI announced its support for the NVIDIA Agent Safety Platform, NVIDIA's full-stack infrastructure for running autonomous AI agents safely at enterprise scale. TrendAI complements that enforcement layer with the intelligence that informs what the policy should be, the visibility to see what agents are doing, and the threat detection and response to act on it. TrendAI Vision One™ extends NVIDIA's agent safeguards across the whole AI factory, covering agents, models, containers, storage and networks on one platform: Model protection. Inline inspection of prompts and responses blocks prompt injection and jailbreaks and redacts sensitive data before it leaks. Harness and tool governance. Security teams control which tools and MCP servers agents can reach, inspect every tool call, and analyze how skills and AI artifacts behave at runtime. Data and identity controls. TrendAI Vision One™ finds and classifies the sensitive data that feeds AI, stops agents from reaching data they shouldn't, extends file security and data loss prevention to the files agents read and write, and strips excess privilege from agents and other non-human identities. Hardware-rooted detection and response. Using NVIDIA BlueField DPU and DOCA telemetry, TrendAI Vision One™ detection stays trustworthy even if the host OS is compromised, and correlates AI signals with endpoint, network, and identity telemetry so a hijacked agent cannot move laterally unseen. Together, TrendAI™ and NVIDIA are leading the future of AI with proactive security designed to inspire innovation and eliminate risk.

NVIDIA announced NVIDIA Open Agent Safety Platform, an open software platform and reference system design to strengthen AI security from agent testing to deployment, with full-stack governance and control across software and the hardware, compute and robotics systems that run agents. NVIDIA Open Agent Safety Platform enables full-stack governance and control across the software that runs agents, the hardware and compute layers that power their work, and the robotics systems that execute tasks in the physical world. Organizations can deploy elements of NVIDIA Open Agent Safety Platform according to their unique requirements. It includes NVIDIA OpenShell secure runtime software that sets boundaries for agents running on CPUs. As agents take on more work across more systems, enterprises need an enforceable boundary outside of the model and agent harness. Now broadly available, OpenShell provides a secure runtime boundary for controlling how autonomous AI agents execute tasks across open and closed models. OpenShell delivers this protection with minimal overhead on NVIDIA Vera, the first purpose-built CPU for agentic AI. Together, OpenShell and Vera enable agents to operate securely while completing their work as quickly as possible. As open source software, OpenShell can also be extended to work with third-party compute platforms, including those from Arm and Intel. The NVIDIA Open Agent Safety Platform reference system design features NVIDIA Sentry, an out-of-band watchdog that runs on NVIDIA BlueField®-4 DPUs to continuously monitor agent behavior. Sentry provides in-silicon security enforcement, meaning that if an AI agent attempts to move outside its software boundary, Sentry quarantines and stops it in milliseconds. Running on BlueField-4 DPUs, Sentry continuously monitors agent activity and enforces security policies independently in silicon. It combines threat detection, hardware-based agent governance and enforcement and data access protection from an isolated, out-of-band trust domain that is responsive in real time and invisible to agents and attackers. Sentry is built on NVIDIA DOCA software, which provides the programmable capabilities Sentry uses to inspect agent requests and responses, provide attested telemetry, verify agent identity and enforce granular, zero-trust access policies for data, tools, application programming interfaces and services.

Bedrock Data announced it has extended Agent DLP™, its runtime data loss prevention for AI agents, to NVIDIA OpenShell, the open source agent runtime that is part of the NVIDIA Open Safety Platform. NVIDIA OpenShell gives autonomous agents a secure environment to run in with strong isolation and a zero-trust architecture where nothing is permitted by default. This integration offers an additional policy evaluation layer where Bedrock Data evaluates a request payload once the request is authorized by OpenShell. Bedrock Data’s authorization layer evaluates the payload in the request against an enterprise’s data policies. Bedrock Data evaluates an agent's action against data policy and tells OpenShell when the data involved is or isn't cleared for the destination; OpenShell can block the action accordingly. NVIDIA OpenShell gives each agent a sandbox to do their work, with kernel-level enforcement over their processes, filesystem and outgoing connections, and checks outbound actions against policy before they take effect. OpenShell’s Supervisor Middleware is the extension point Bedrock Data leverages for the additional data-based policy enforcement. Bedrock Data evaluates each request against the enterprise's data policies, which are defined on Bedrock’s Metadata Lake: an enterprise knowledge graph that connects what data is, where it lives, where it came from, who can access it and how it is used. The decision is based on what the graph knows about the data in the request and where it is going, not on patterns in the payload, so a restriction travels with the data as it passes from one agent to another. Bedrock Data performs three functions for OpenShell: At runtime, it evaluates each action and returns the decision OpenShell enforces. A write of sensitive data to a shared scratch table is stopped, while the same write to a table restricted to that data's approved audience proceeds. At design time, it shows security teams an agent's blast radius, such as what data its permissions can access, what that data combines into and where policy would be violated. It makes OpenShell's enforcement data-aware. As data and access change, the decisions OpenShell enforces change with them, without anyone rewriting a rule. Policy applies at the OpenShell sandbox boundary however an agent acts, through an MCP tool, a command-line invocation or code it writes itself, and the same data policies govern every agent that runs there. Teams can run it in observe-only mode first, recording the decisions Bedrock Data returns without enforcing them, and turn on enforcement when they are ready.

HSBC Holdings plc issued USD 2,500,000,000 2.251% Fixed Rate/Floating Rate Senior Unsecured Notes due 2027 pursuant to an indenture dated as of August 26, 2009, as amended or supplemented from time to time, between HSBC Holdings plc, as issuer, The Bank of New York Mellon, London Branch, as trustee, and HSBC Bank USA, National Association, as paying agent and registrar, as supplemented and amended by a twenty-third supplemental indenture dated as of November 22, 2021, among the Issuer, the Trustee and HSBC Bank USA as paying agent, registrar and calculation agent. The Issuer has elected to redeem the Securities in whole in accordance with the terms of the Indenture and the Securities. Pursuant to Section 11.04 of the Base Indenture and Sections 2.01, 2.02, 3.01, 3.02, 4.01(a) and 4.02(b) of the Twenty-Third Supplemental Indenture, the Issuer provided notice that the redemption date for the Securities shall be November 22, 2026. The redemption price for the Securities shall be USD 1,000 per USD 1,000 principal amount of the Securities. Additionally, in accordance with the terms of the Indenture, as the Redemption Date is an Interest Payment Date all accrued but unpaid interest from and including May 22, 2026 to but excluding the Redemption Date will be payable to the holders of record of the Securities as of November 7, 2026, the Regular Record Date. Subject to any conditions and/or the limited circumstances contained in the Twenty-Third Supplemental Indenture, on the Redemption Date the Redemption Price and the Interest Payment shall become due and payable upon each such Security to be redeemed and interest thereon shall cease to accrue on and after such date. Pursuant to the terms of the Indenture, as the Redemption Date is not a Business Day, the Issuer will pay the Redemption Price and Interest Payment on the next succeeding Business Day, Monday, November 23, 2026. In accordance with the terms of the Indenture, interest on the payment of the Redemption Price and the Interest Payment shall not accrue during the period from and after the scheduled Redemption Date.

On September 28, 2026, the company announced an increase in its equity buyback. The company increased its authorization by $150,000 million, thereby increasing the total authorization to $391,278.77million.

Giorgio Armani SpA, d/b/a Armani, will reportedly start discussions with multiple luxury companies for the potential sale of a 15% stake in the company, London's Financial Times reported on 27 September 2026, citing people familiar with the matter. The Italian luxury fashion group will reportedly talk with beauty products giant L'Oréal S.A. (ENXTPA:OR), luxury goods group LVMH Moët Hennessy - Louis Vuitton, Société Européenne (ENXTPA:MC), and luxury eyewear maker EssilorLuxottica Société anonyme (ENXTPA:EL). The sources added that Armani is said to consider splitting the 15% stake between the three groups. The divestment aims to streamline its brand, as well as expand its portfolio. Additionally, people familiar with the matter noted that the potential deal is valued at EUR 10 billion. If plans fall through, the group would potentially consider a stock listing. Armani, L'Oréal, LVMH, and EssilorLuxottica did not immediately respond to requests for comment from MT Newswires.

HSBC Holdings plc (‘HSBC’ or the ‘Company’) announced the appointment of Elizabeth Alison Platt (‘Alison’) (aged 64) as an Independent non-executive Director with effect from October 1, 2026. Upon appointment she will be a member of the Group Remuneration Committee, Group Risk Committee and the Nomination and Corporate Governance Committee. The Board has also appointed Alison as Dame Carolyn Fairbairn’s successor as Chair of the Group Remuneration Committee, subject to regulatory approval. This follows Carolyn’s appointment as Chair of HSBC UK Bank plc. Upon receipt of regulatory approval, Alison will succeed Carolyn on February 24, 2027, following the publication of HSBC’s Annual Results on February 23, 2027. Alison brings substantial plc leadership and commercial experience to the Board. Her executive career included 21 years at Bupa Group, including in senior leadership roles across its international businesses. She also brings extensive knowledge of the UK and international business environment, gained as Chief Executive Officer of Countrywide plc for four years. She has since built extensive non-executive board experience in listed and plc environments. Together with non-executive experience she has led complex businesses and brings strong expertise in financial services, investor engagement, remuneration and corporate governance. She is Chair of Ageas UK, Senior Independent Director of Inchcape plc and a non-executive director of Spectrum Life, and was previously a non-executive director of Tesco plc and Chair of Hargreaves Lansdown plc. Current and past listed company appointments: Senior Independent Director of Inchcape plc: January 2, 2024 – Present. Independent non-executive director of Tesco plc: April 1, 2016 – June 12, 2025. Independent non-executive director of Dechra Pharmaceuticals Limited (which subsequently de-listed in January 2024): March 1, 2020 – January 16, 2024. Independent non-executive director and Chair of Hargreaves Lansdown plc (which subsequently de-listed in March 2025): February 6, 2024 – March 24, 2025.

EssilorLuxottica and Meta Platforms unveiled the next generation of AI glasses at Meta Connect. Expanding their groundbreaking portfolio of products, the companies announced a new line of audio glasses, a third generation of Ray-Ban Meta, as well as new models, features and geographies for existing products. By the end of this year, the companies will offer more than 100 different styles of AI glasses. And they announced Meta’s new personal AI agent, Muse, will be coming to AI glasses. Ray-Ban Meta Audio: Given that audio is consistently Ray-Ban Meta’s most popular feature, particularly because the glasses deliver high-quality sound without having to close off the world around you, the companies have introduced Ray-Ban Meta Audio, a camera-free line of AI glasses, their lightest and slimmest yet, weighing as low as 43 grams, offering maximum comfort with professional-adjustable temple tips, adjustable or swappable nose pads and overextension hinges ensuring a perfect fit for all-day wear. Ray-Ban Meta Audio will launch in two new styles: Clubmaster and Burbank, both compatible with a wide range of optical prescriptions. Ray-Ban Meta Gen 3 comes in a slimmer, more comfortable design with longer battery life and a customizable action button for instant access to Meta AI. The Gen 3 collection, which comes in 27 color and lens combinations, will now include one of the most legendary silhouettes, the Aviator, which is celebrating its 90th anniversary, making it a milestone moment for the brand. The collection will also include Zena, a bold new style with a distinctive and modern cat eye look, and the iconic Wayfarer in both standard and large sizes. Meta Glasses with EssilorLuxotticaare also expanding with two new styles – Capri and Nova – to offer a wider consumer choice and introducing also two new models designed with the international icon, LISA. These round out the most expansive and accessible portfolio of AI glasses. Muse, a personal AI agent, is coming to all the companies’ AI glasses (available in US only), handling tasks hands-free so wearers can stay present. Capture also improves with Dynamic Photo and Landscape Crop Mode, alongside support for Dolby Atmos. Finally, Hearing Enhancement (available in US only), an FDA-cleared software feature for adults with perceived mild to moderate hearing loss, arrives via one-time payment or subscription later this year. Powering the next generation of AI capabilities with consumer privacy in mind, Meta will bring “private processing” to AI glasses later this year. The portfolio of AI glasses from EssilorLuxottica and Meta will welcome new features ranging from guided workouts and nutrition, expanding navigation with cycling and public transit directions.

International Payments Identity (IPID) Pte. Ltd. announced that it has received $16 million in a round of funding led by new investor Foundation Capital, LLC on September 24, 2026. The transaction included participation from new investors, Citigroup Inc., HSBC Holdings plc, returning investors QED Investors, LLC, Monk's Hill Ventures, Quona Capital Management Ltd. The company has issued convertible preferred shares in the transaction.

Dolby Laboratories, Inc. and Meta announced the expansion of Dolby experiences within the Meta ecosystem of devices and platforms. This includes new Dolby experiences coming to Meta AI glasses and Instagram. Meta AI glasses are the first global consumer device capable of capturing audio in Dolby Atmos. Users can capture their favorite moments and share them on Instagram with their community, helping them relive those experiences and feel closer to what made them special. The news builds on the launch of Dolby Vision on Instagram last year. Meta also announced that its newest VR device will support Dolby Vision and Dolby Atmos, enabling more immersive experiences for movies, shows, sports, concerts, and other premium VR experiences when it launches next year. The expansion also broadens Dolby's presence across one of the world's largest ecosystems for entertainment, creation, and social sharing, bringing Dolby experiences to more of the ways people connect, create, and engage every day.

Experian and Google announced a strategic collaboration that makes Experian the first personal finance app integrated with Google Gemini, expanding Experian's reach to one of the world's largest AI platforms and creating a new way for consumers to discover, access, and engage with Experian through conversational AI. Experian becomes the first personal finance app integrated with Google Gemini, enabling consumers to access personalized credit insights. The collaboration provides a seamless experience for new consumers in the U.S to discover and join Experian at no cost and gives new and existing Experian members another way to connect with the services they know and trust. Consumers in the United States will be able to connect with Experian in Gemini through a consumer-authorized experience and ask questions about their credit. Existing Experian members can connect their accounts, while consumers who discover Experian through Gemini can join Experian at no cost. They can also access their FICO® credit rating and key factors influencing it. As AI assistants increasingly become part of how people navigate everyday decisions, Experian is extending trusted financial information into an emerging consumer channel while keeping consumers in control of whether their Experian information is connected and used. The collaboration also creates a new point of discovery for Experian, allowing consumers already using Gemini to connect with Experian, where they can access a broader range of financial products, services, and capabilities through the Experian app or website. Consumers can ask Gemini questions about their Experian credit information and receive personalized responses designed to make that information easier to understand. Rather than simply viewing static information, consumers can ask questions in a conversational experience that combines Experian’s trusted credit data with Gemini’s AI capabilities to help make credit information easier to understand. Consumers who want to view their FICO® Score 8i will continue to access it directly through the Experian website or app, where they can access a broader range of products, services, and capabilities designed to help them manage their financial lives and find more ways to save time and money. Connecting to Google Gemini’s Connect App ecosystem is designed to be simple, secure, and consumer controlled. Users sign in to their Google account and open Gemini. From the Personal Intelligence menu, they can navigate to Connected Apps, select Experian, and choose to link and authorize access to their Experian account. Users also have the ability to tag “@Experian” to connect with the Experian app within a chat when asking a credit-related question. Existing Experian members can authorize access to their Experian account, while consumers who are new to Experian can join at no cost and establish an Experian membership. After securely authenticating, consumers can ask Gemini questions about their Experian credit information, including their FICO® credit rating and the key factors influencing it. Consumers can manage their connected app settings through Google’s Personal Intelligence settings at any time. The collaboration builds on Experian’s long track record of consumer innovation and advances its strategy of giving consumers more ways to engage where they choose. The Gemini integration gives Experian another way to reach consumers, both existing members and people discovering Experian for the first time, through an AI platform that is increasingly part of consumers' everyday lives. Gemini becomes another channel in Experian's broader consumer ecosystem, complementing the products and services it provides directly and the experiences it powers for financial institutions and other clients. The companies also plan to build on the collaboration over time, expanding the Experian capabilities consumers can access through Gemini—such as subscription cancellation, which could help consumers save on unwanted subscriptions they currently pay for.

IonQ, Inc. announced that it will be the first on-premise quantum computing deployment at the NVIDIA Accelerated Quantum Research Center (NVAQC). The NVAQC is designed to address the fundamental challenges of scaling quantum processors into a new class of accelerated quantum supercomputers. Connecting IonQ’s full-stack quantum systems directly with NVIDIA AI infrastructure will help drive the new breakthroughs needed to turn qubits into useful, large-scale quantum supercomputers capable of solving the world's hardest problems. As part of the partnership, an IonQ Superion 256 system will be installed at the NVAQC and directly linked with an NVIDIA GB200 NVL72 system via NVIDIA NVQLink, with workloads orchestrated by the open NVIDIA CUDA-Q platform. The joint research program will focus on hybrid software development and large-scale system prototyping, generating open results and a guide for future AI use cases and quantum-GPU co-design. Alongside quantum-GPU integration, joint research is expected to target quantum algorithms portfolio optimization and risk modeling in financial services; materials science; and computational chemistry for drug discovery. These types of complex use cases will benefit from research conducted using the Superion 256 system. The Superion 256 system is available to order now, with first customer deliveries expected in 2027. Installation at NVAQC is scheduled for next year.

Basecamp Research Ltd announced that it has received $140,000,000 in a round of funding led by returning investor, Section 32, LLC on September 23, 2026. The transaction included participation from new investors, Catalio Capital Management, LP, European Tech Collective, Firebrand River Capital, LLC, Inception Fund, King Philanthropies, Inc., NATO Innovation Fund a fund managed by NATO Investment Fund, NVIDIA Corporation, PostScriptum Ventures Limited, Redalpine Venture Partners AG, The Rockefeller Foundation, Singular Capital Partners, Sovereign AI, Menlo Anthology Fund a fund co-managed by Anthropic, PBC, Investment Arm, and Menlo Ventures Management, L.P., returning investor, True Venture Management, LLC, senior leaders from across pharma, biotech, and global industry, including André Hoffmann. The company has issued convertible preferred shares in the transaction. As a part of the transaction Andy Conrad from Section 32, LLC will join the board of directors of the company. The round is raised at a post money valuation of $800 million.

NVIDIA Corporation Presents at Advanced Vision & AI Conference 2026, Sep-23-2026 . Venue: Santa Clara, California, United States. Speakers: Alvin Clark, Product Marketing Manager.

HSBC Holdings appointed Fiona Neville as head of Securities Services Sales, Europe Middle East. In the role, Neville will lead the EMEA Securities Services Sales team, based in London. Neville has more than 20 years of experience in senior financial roles.

QAD | Redzone unveiled that it plans to integrate technology from NVIDIA, combining NVIDIA’s accelerated computing and AI with QAD | Redzone’s manufacturing expertise and operational context spanning ERP, connected workforce, supply chain, production, and quality. This combination of technology and manufacturing expertise will help shape a federated intelligence layer that can understand manufacturing context across systems without requiring manufacturers to replace the technology they already run, connecting intelligence wherever it lives. Manufacturing Intelligence is expected to be in market in the Spring of 2027.

NVIDIA Corporation Presents at Humanoids Summit, Sep-22-2026 . Venue: COEX Convention Center, Seoul, South Korea.

Dell Technologies announced the XPS Googlebook, a 13-inch premium laptop, powered by the Snapdragon X Elite processor, and the first XPS device designed for Gemini Intelligence. Built for Android users and supercharged to power their most advanced workflows, the XPS Googlebook brings the premium materials of the XPS portfolio to the Googlebook platform for the first time. The XPS Googlebook starts with a solid aluminum chassis, with the premium feel that defines XPS. At just 2.2lbs and 12.7mm thin, it is light enough to carry anywhere and solid from every angle, with fewer parting lines and a backlit chiclet keyboard paired with a glass touchpad that is quiet, familiar and precise. The 2.5K InfinityEdge touch display features edge-to-edge glass, 100% DCI-P3 color coverage and 500 nits of brightness, remaining clear and readable even in direct sunlight. A variable refresh rate adjusts dynamically between 30Hz and 120Hz, preserving battery life when idle and delivering smooth motion when it matters. Snapdragon X Elite processor handles tasks smoothly and efficiently, with up to 32GB of LPDDR5X memory that delivers fast data transfer speeds and an NPU for fast, on-device processing. A dual-fan cooling system keeps the device cool and quiet during extended sessions. The XPS Googlebook delivers up to 16 hours of Netflix streaming on a single charge, with the Snapdragon platform and variable refresh rate technology working together to extend runtime without compromising the experience. Gemini Intelligence is woven into the XPS Googlebook. Magic Pointer reimagines the decades-old cursor and allows a simple wiggle cursor to activate Gemini. Gemini also works proactively in the background by connecting with apps to surface proactive suggestions and handling complex to-dos even when the device is closed. The XPS Googlebook effortlessly syncs with your Android phone. Easily view, search and insert phone files, photos and downloads directly on the laptop without waiting for transfers or duplicating files. Notifications, messages and app context stay aligned across devices, and Android apps are accessible directly on the Googlebook without additional installs. The Glowbar acts as an easy, at-a-glance indicator of your battery life and charging status, so you know where your battery stands even when your laptop is closed. Starting at $999, available on Best Buy and Google Stores. Available on Dell.com in October.

Tech giant Google has been fined €403 million by the Data Protection Commission (DPC) over the processing of location data. Under data protection rules, such information must be processed in a lawful, fair and transparent manner. The DPC said that its investigation into Google found failures in this regard meaning that people could have been unaware that their location was being used to, for example, influence them with ads or to infer their interests, and could lose control over their personal data. The investigation focussed on the period of May 2018 to February 2020. It looked at location settings on services such as Google's search engine and Google Maps, as well as location accuracy features on Android devices. The DPC said that location data can bring both benefits and harms to individuals. The investigation was launched by the DPC in February 2020, following receipt of complaints from several European consumer rights organizations regarding Google’s processing of location data in connection with certain services and products. The decision, which was made by the Commissioners for Data Protection, Dr Des Hogan, Dale Sunderland and Niamh Sweeney, found that Google had infringed the General Data Protection Regulation (GDPR). The DPC has imposed fines totalling €403 million and has ordered Google to bring its processing into compliance within six months. In a statement, Google said the case centres around historical policies that have since been updated. The changes that have been introduced by Google include settings to automatically delete data, ad management tools, and increased transparency around how data is used. It is understood that Google will appeal the ruling focused on legal issues that require clarification beyond this case.

Einride AB announced a collaboration with NVIDIA Corporation to further accelerate the transition of the Company’s extensive freight network to autonomous operations. Einride AB will adapt the NVIDIA DRIVE Hyperion platform for heavy-duty trucking, working directly with NVIDIA Corporation to extend the platform's compute, sensor, software and safety architecture to the demands of heavy-duty freight. Building the next generation of the Einride Driver on NVIDIA Hyperion platform will enable Einride AB to scale autonomous deployment across a freight network that's already serving customers. Einride AB designs, builds, and operates the autonomous-driving system end-to-end, including safety validation, regulatory approval, and contracted customer deployments, while NVIDIA Corporation provides the underlying compute platform and AI development tools that support the system. Built on the NVIDIA Hyperion platform, a production-ready compute and sensor reference architecture for Level 4 autonomy, and integrated with the NVIDIA Halos safety system, the collaboration creates a scalable foundation that accelerates safe, production-ready autonomous freight operations for Einride AB. Einride AB intends to deploy NVIDIA Blackwell architecture at scale with an NVIDIA Exemplar Cloud partner, a cloud provider whose infrastructure NVIDIA Corporation has validated for large-scale AI training performance, to train, test and refine its autonomous driving models. Einride AB will adapt the NVIDIA Hyperion platform for heavy-duty trucking, working directly with NVIDIA Corporation to extend the platform's compute, sensor, software and safety architecture to the demands of heavy-duty freight. As part of its AI development workflow, Einride AB is using NVIDIA Cosmos to help improve the safety and reliability of its autonomous vehicles. NVIDIA Cosmos enables Einride AB to search and curate camera data to identify complex edge cases, as well as augment real-world data with photorealistic synthetic scenarios that increase the diversity of data used for AI training and validation.

Meta Platforms, Inc., $ 0.525, Cash Dividend, Sep-21-2026

Dell Technologies Inc.(NYSE:DELL) added to S&P 100

Berkshire Hathaway Inc. announced that Warren E. Buffett had been named Chairman Emeritus, effective September 18, 2026, in recognition of his extraordinary contributions to Berkshire and its owners. Warren Buffett is stepping down as chairman of Berkshire Hathaway, effective immediately. As Chairman Emeritus, Mr. Buffett will remain a member of the Board of Directors and will continue to offer his valued judgment and perspective. The Board elected Howard G. Buffett, his son, a Berkshire director since 1993, as Chairman of the Board. Howard Buffett has served since 1999 as Chairman and Chief Executive Officer of the Howard G. Buffett Foundation, a charitable foundation focused on global food security and conflict mitigation. He served as a United Nations Goodwill Ambassador Against Hunger for the World Food Programme for nearly a decade. He has been a director of numerous public and private company boards, including Agro Tech, Archer Daniels Midland, ConAgra Foods, The Coca-Cola Company, Coca-Cola Enterprises, FirsTier Financial, and Lindsay Corporation – including as Chairman of the Board. Susan L. Decker will continue to serve as Lead Independent Director.

HSBC Holdings plc has completed a Fixed-Income Offering in the amount of €1.5 billion. Security Name: Fixed to Floating Rate Notes due September 22, 2037 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: €1.5 billion Price\Range: 100% Security Features: Callable; Euro MTN; EuroBonds; MTN; Senior; Unsecured; Variable Rate Coupon Type: Variable Transaction Features: Regulation S

HSBC Holdings plc has completed a Fixed-Income Offering in the amount of €1 billion. Security Name: Floating Rate Notes due September 22, 2030 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: €1 billion Price\Range: 100% Security Features: Callable; Euro MTN; EuroBonds; Floating Rate; MTN; Senior; Unsecured Coupon Type: Variable Transaction Features: Regulation S

HSBC Holdings plc has completed a Fixed-Income Offering in the amount of €1.25 billion. Security Name: Fixed to Floating Rate Notes due September 22, 2032 Security Type: Corporate Bond/Note (Non Convertible) Principal Amount: €1.25 billion Price\Range: 100% Security Features: Callable; Euro MTN; EuroBonds; MTN; Senior; Unsecured; Variable Rate Coupon Type: Variable Transaction Features: Regulation S

ASUS and Poesis announced the results of a week-long experiment that successfully deployed agentic AI to trade autonomously in financial markets. The system ran entirely on the ASUS ExpertCenter Pro ET900N G3, a deskside supercomputer built on the NVIDIA DGX Station platform, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. ASUS and Poesis completed a week-long experiment in which agentic AI agents independently conducted investment research, managed risk, and executed trades using live capital and predefined mandates. Throughout the test, all models, agents, and workflows ran locally on the ASUS ExpertCenter, showing that agents can function in live markets without relying on cloud-based AI infrastructure. The collaboration offers early insights into how local, high-performance computing can support autonomous investment workflows and the ongoing development of agentic AI systems for financial markets. The week-long experiment ran on the ASUS ExpertCenter Pro ET900N G3, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. Featuring up to 20 petaFlops of AI performance and 748GB of coherent memory, the system enabled Poesis to deploy a multi-agent AI workflow locally on a single machine. Using live capital, the agents autonomously handled investment research, risk management, and trade execution while operating within predefined mandates.

Saturn Cloud announced an integration with NVIDIA Run:ai, the AI workload and GPU orchestration platform. The integration helps GPU cloud operators earn more from their installed capacity by turning fleets that would otherwise be rented by the GPU-hour into multi-tenant inference products sold by the token. NVIDIA Run:ai is one of several NVIDIA technologies Saturn Cloud builds on, following its integration of NVIDIA DSX AI Factory Platform NVIDIA Run:ai maximizes GPU utilization across the fleet through NVIDIA KAI Scheduler, providing gang scheduling for NVIDIA Grove-managed distributed workloads and policy-driven governance. Saturn Cloud runs on top, giving operators the commercial layer between their fleet and customers so they can sell inference without building it themselves. Beyond per-token serving, operators get multiple products to sell from the same infrastructure — GPU hours, per-token inference endpoints, and managed fine-tuning jobs — without building any of it in-house. They can offer dedicated GPU capacity to customers who bring their own stack, per-token model-as-a-service to customers who just want an API endpoint, and self-service development environments for teams that build and fine-tune their own models. Saturn Cloud also handles model onboarding, shared and dedicated isolation tiers for regulated customers, and the identity, access, and governance controls enterprise buyers require. Underneath, the serving layer runs on NVIDIA Dynamo, handling distributed inference with disaggregated prefill and decode, and drives vLLM, SGLang, or NVIDIA TensorRT-LLM. NVIDIA Grove orchestrates the multi-node workloads, and NVIDIA KAI scheduler places them with GPU awareness, allocates fractional GPUs, and enforces quotas across tenants. NVSentinel and NVIDIA Fleet Intelligence handle fleet-wide health monitoring and fault remediation, so degraded hardware is automatically pulled from placement. The NVIDIA Run:ai-integrated Saturn Cloud platform is available now.

Zurich Insurance has announced the appointment of John Diaz as president of US middle market, programmes, direct markets and captives. The appointment is effective from September 17, 2026. Diaz takes over from Alex Wells, who was recently appointed chief executive officer of Zurich US. Diaz joined Zurich in 2008 and has held a number of executive roles.

Element451's collaboration with NVIDIA gives it a direct hand in shaping the AI models built for higher education, beginning with a smarter approach to student data management. The first initiative to come out of that collaboration is centered on agentic deduplication capabilities, built to help resource-constrained institutions manage student data at scale. Element451 is working with NVIDIA to bring open-source AI models into its agentic deduplication engine. Duplicate records aren't just a data hygiene problem. When a student appears twice in a system, they can get conflicting messages, miss a financial aid deadline, or be routed to the wrong advisor. Resolving those records faster means each student sees one accurate view of their status and one consistent set of next steps. Since the introduction of deduplication, Element451 has seen a 53% increase in user-confirmed merges as staff move through duplicate records with more speed and confidence. By integrating with NVIDIA's Nemotron 3 Super model, Element451 can build on that success with an open-source approach that reduces the cost of running the underlying models by up to 7x, making it easier for resource-strapped institutions to put AI to work. For a small admissions or student success team this can make a meaningful difference, as every hour staff spends chasing down a mismatched record is an hour they aren't spending with a student. Cleaning up that administrative overhead frees advisors and enrollment teams to focus on the work only they can do, helping students choose a major, map out a degree plan, and stay on track to graduate. Deduplication no longer only lives in its own silo as a separate cleanup task. It's now part of everyone's everyday workflow. The new match signals, confidence score, Bolt Analysis, and AI-recommended master record give much more context to make decisions faster and with more confidence. Element451 and NVIDIA are exploring further collaboration to source and tune other models in the Nemotron family for additional use cases, including Element451's fraud detection capabilities, which help prevent malicious application activity, an increasingly pervasive and challenging problem for colleges and universities nationwide. Element451 delivers AI products purpose-built for higher education. Bolt is the AI Agent Engine for higher education, deploying specialized agents across every stage of the student lifecycle to drive outcomes for institutions and students alike. Element is the AI-native CRM for higher education, connecting data, workflows, and AI agents across every team and every stage of the student journey. Element451 supports more than 350 institutions in powering over 60 million student journeys, including Columbia University, Louisiana State University, Tulane University, the North Carolina Community College System, and the University System of Georgia.

On September 17, 2026, Crusoe Technologies LLC closed the transaction. The company raised $3,900,000,000 in a round of funding co-led by new investors Atreides Management, LP, Valor Management LLC and Mubadala Investment Company PJSC. The transaction included participation from new investors The Founders Fund, LLC, TPG Capital, L.P. Baillie Gifford & Co., GIC Private Limited, BDT & MSD Partners, LLC, Investment Arm, Clal Insurance Enterprises Holdings Ltd., Darsana Capital Partners LP, Era Funds, Fundrise, LLC, Robinhood Ventures Fund I, fund managed by Robinhood Ventures DE, LLC, Semianalysis, XN LP, Qatar Investment Authority, individual investor, Van Eck and returning investor, NVIDIA Corporation, Radical Ventures Investments Inc., Accounts advised by T. Rowe Price Group, Inc., 1789 Capital Management, LLC, Activate Capital Partners, Altimeter Capital Management, LP, ARK Investment Management LLC, Avenir Management Company, LLC, BAM Elevate Manager, LLC, DPR Construction, Inc., Fidelity Management & Research Company LLC, Galvanize Climate Solutions LLC, M37 Management LP, Oman Investment Authority, Polychain Capital LP, Ribbit Management Company, LLC, Salesforce Ventures, LLC, Squarepoint Capital LLP, StepStone Group Inc., Tiger Global Management, LLC, Upper90 Capital Management, LP and Zigg Capital. The company issued convertible preferred shares in the transaction. The company received $3,108,543,889, which include the amount of certain previously issued simple agreements for future equity, pursuant to exemptions under Regulation D from 108 investors. The transaction was raised at a post money valuation of $30,900,000,000.

Snap Inc. is working with Salesforce, Amazon Web Services (AWS), NVIDIA, Trifork, Hololight, and more to bring SPECS into workplace environments. Together with these partners, Snap Inc. is enabling hands-free access to information, guidance and collaboration across retail floors, factories and field operations, while also building the management and security capabilities enterprises need to deploy SPECS AR glasses at scale.

Matic Inc. has become among the first to adopt, explore, and scale on NVIDIA Corporation Jetson Orin Nano 2, a new entry-level robotics computer for entry-level edge AI coming in early 2027. Matic Inc. will use it to enable more intuitive interactions with its home cleaning robots, including conversational AI, gesture detection, deeper context of the home through precision mapping and semantic understanding, and autonomous cleaning. NVIDIA Corporation Jetson Orin Nano 2 is a robotics computer that enables Matic Inc. to be the first completely unsupervised, fully autonomous, vision-first home robot that processes all camera data on the edge device, not cloud. Jetson Orin Nano 2 delivers 78 trillion operations per second of AI compute, twice the inference performance of its predecessor in the same form factor, and consumes 40 percent less power at the same performance in 15-watt mode. The NVIDIA Corporation Jetson Orin Nano 2 module and developer kit are expected to be available in the first half of 2027. Matic Inc. will begin working on that once they are available and incorporate them to be included 6-9 months after they are available. Matic Inc.'s current products ship on NVIDIA Corporation Jetson today.

IonQ, Inc. announced joint research with Oak Ridge National Laboratory, NVIDIA Corporation, and the University of Tennessee, Knoxville showing that a trained generative model can write quantum optimization circuits directly, eliminating the trial-and-error parameter-tuning loop that has made the most accurate approach too costly to run. The paper is being presented at IEEE Quantum Week in Toronto. Hybrid quantum optimization breaks a large problem into smaller pieces, solves each one, and recombines the results. Each piece needs a tailored quantum circuit, which traditionally required trial-and-error parameter tuning: run, measure, adjust, and repeat, often hundreds of times. Larger pieces can improve answers, but they also raise tuning costs, limiting the size of problems researchers could solve. In this benchmark, generative AI replaced the iterative tuning loop, and as the quantum subproblems grew the solution quality improved. The result provides a potential path toward scaling hybrid quantum optimization, unlocking completely new capabilities and scales that align with IonQ’s existing and future quantum computing hardware generations. To teach the generative model how to tune circuit instructions, the team first showed it what strong results looked like. They ran the conventional trial-and-error method across many sampled problems, kept only the near-optimal circuits, and used those examples to train a transformer, the same class of model behind large language models but trained on circuits instead of text. The trained model generates candidate quantum circuits directly, without the repetitive parameter-tuning loop used by conventional methods. In the reported experiments, the model sampled ten candidate circuits for each subproblem; all ten were simulated and scored, and the best-scoring candidate was used to update the global solution. On a dense, higher-order benchmark problem with 100 decision variables, model-generated answer quality roughly doubled as subproblems grew. Under the prior state-of-the-art method, circuit-finding time rose sharply from about 34 seconds on 4 qubits to more than 11 minutes on 12 qubits. The generative approach held nearly 28 seconds for every size previously tested. Both approaches are quantum methods; the study compares circuit-generation approaches, not quantum against classical solvers. Oak Ridge National Laboratory led the study. Co-authors span Oak Ridge National Laboratory's National Center for Computational Sciences and its Materials Science and Technology Division, IonQ, Inc, NVIDIA Corporation, and the University of Tennessee, Knoxville. Abhinav Rijal, a graduate researcher in the Department of Physics and Astronomy at the University of Tennessee, Knoxville is a co-author of the study. The paper describes its results as benchmark-scale validation. Every circuit in the study was simulated rather than executed on quantum hardware, using the NVIDIA cuQuantum SDK through the NVIDIA CUDA-Q open platform for quantum-GPU supercomputing on a single NVIDIA H200 GPU in the Oak Ridge Leadership Computing Facility’s Defiant2 system. That environment is what makes the comparison meaningful: both the trial-and-error method and the generative one ran on identical GPU-accelerated infrastructure, providing a controlled comparison of the two end-to-end workflows. The measured difference principally reflects the distributed quantum approximate optimization algorithm (DQAOA)-GPT’s replacement of iterative variational parameter optimization with generative circuit synthesis and a fixed number of candidate evaluations. The paper is available at arXiv:2607.20225. It is one of nine IonQ, Inc. papers accepted at IEEE Quantum Week 2026, held September 13–18 at the Metro Toronto Convention Centre, and the winner of a best paper award.

Emerald AI, Google LLC, and NVIDIA Corporation announced the launch of the AI Energy Management Alliance (AEMA). Led by founding members representing the full AI stack, AEMA advances flexible AI data centers that are good citizens on the electricity grid, dynamically adjusting their power draw to provide relief during periods of peak grid stress. The founding members are joined by a group of 18 launch partners, spanning AI and semiconductor leaders, such as Anthropic and Analog Devices, and utility and power leaders, such as National Grid, AES, RWE, Constellation, and NRG. Together, the membership will develop diverse approaches to power-flexible AI to unlock power capacity on today’s underutilized power grid, improve its reliability, and promote affordability by better using the grid we already have. AEMA will promote accelerated interconnections across the United States for flexible, grid-enhancing data centers using a diverse range of demand management technologies including colocated generation, storage, computational flexibility, and other approaches to dynamically respond to the grid’s needs and better utilize the existing power system. By championing policies that recognize and value flexible AI demand, AEMA supports the nation’s competitiveness in AI innovation and deployment while strengthening grid reliability and protecting energy affordability for ratepayers. Joining founding members Google LLC, NVIDIA Corporation, and Emerald AI as inaugural members and launch partners are AES, Analog Devices, Anthropic, Calibrant Energy, Camus, ClearPath, Constellation, Encoord, Fluence, Generate Capital, GridUnity, National Grid, NRG, PassKey, RWE, Splight, Verrus, and Voltus. Frank Lacey, an experienced energy industry executive, will serve as AEMA’s Executive Director. AEMA is the next evolution of the Advanced Energy Management Alliance, founded in 2014 to advance energy solutions while improving the efficiency of the electric grid.

Milberg PLLC is actively litigating social media addiction claims on behalf of Peoria Public Schools District 150, of Peoria, Illinois, as part of the Social Media Adolescent Addiction/Personal Injury Products Liability Litigation (MDL No. 3047)—the same federal case in which all four major social media platforms last month agreed to pay a landmark $27 million to resolve claims brought by a Kentucky school district, the first such case to reach the eve of trial. Meta Platforms ($9 million), Snap Inc. ($8 million), TikTok ($8 million), and YouTube ($2 million) collectively settled with Breathitt County School District in rural Kentucky to cover mental health costs and fund a 15-year abatement program. The settlement, reached just weeks before a June trial date, served as the first major test of school districts' claims against social media platforms. The Breathitt County settlement is part of a broader wave of accountability facing these platforms. In August 2026, Meta agreed to pay approximately $17 billion to settle a separate lawsuit brought by 29 state attorneys general in federal court in Oakland, resolving claims that the company violated child privacy laws and designed its platforms to be addictive to minors. That same month, the U.S. Department of Justice secured a $400 million settlement from TikTok and parent company ByteDance over violations of the Children's Online Privacy Protection Act (COPPA)—one of the largest recoveries ever obtained under that law—reflecting an escalating reckoning for these platforms on the issue of harm to minors. The MDL now includes more than 2,500 pending cases in federal court and an additional 3,300 in California state court. The cases allege that Meta, Snap, TikTok, and YouTube knowingly engineered their platforms to maximize engagement among minors, despite knowing that certain design features caused anxiety, depression, self-harm, and disrupted learning, and left school districts to bear the financial and human consequences. The next federal bellwether trial for school district claims is scheduled for February 2027. School districts in the litigation seek recovery for documented institutional costs, including mental health counseling, monitoring software, and the broader administrative burden of addressing a youth mental health crisis that school communities say these platforms deliberately created. Milberg represents Peoria Public Schools District 150 and additional school districts in this litigation. Districts that have not yet filed may still have time to join the MDL.

HSBC Holdings plc Presents at Barclays 24th Annual Global Financial Services Conference, Sep-15-2026 10:30 AM. Venue: New York, New York, United States. Speakers: Pam Kaur, Group CFO & Executive Director.

Salesforce, Inc. announced that it has developed Koa, Salesforce’s first CRM reasoning model for Agentforce, built on NVIDIA Nemotron. Developed through deep technical collaboration with NVIDIA Corporation, Koa is purpose-built to help agents reason through complex, multi-step workflows and use the right tools to get work done. Koa was built by post-training NVIDIA Nemotron 3 Super with a proprietary synthetic dataset modeled on enterprise knowledge from nearly three decades of CRM deployments. Salesforce, Inc. and NVIDIA Corporation are also bringing Nemotron-based models and accelerated computing into Missionforce, extending that same control over model, data, and deployment environment to government and regulated organizations. Together, the companies are bringing mission-specific AI to private clouds, air-gapped networks, and other secure environments. Salesforce, Inc. applied Supervised Fine-Tuning (SFT) and reinforcement learning with Group Relative Policy Optimization (GRPO) with NVIDIA NeMo RL, NeMo Gym, and NeMo AutoModel. NVIDIA Nemotron open models gave Salesforce, Inc. the control to build CRM intelligence into the model itself. Salesforce, Inc. controls the weights and runs Koa within its own infrastructure, ensuring that no customer data crosses the trust boundary during inference. Salesforce, Inc. is bringing NVIDIA Corporation models and accelerated computing into Missionforce to enable customers in highly sensitive industries to train, tune, and deploy mission-specific models on their own critical data. Post-trained NVIDIA Corporation models will power agents for Missionforce Operations, a product that digitizes and automates complex government workflows, including procurement, supplier management, and logistics. The companies are also working to bring post-trained NVIDIA Corporation models into additional Missionforce capabilities to enable customers to build and run models on their own infrastructure for specialized workloads.

Synaptics Incorporated announced its first CTS module powered by the SN6012T touch controller is now supported by the open robotics simulation framework, NVIDIA Isaac Sim. The Synaptics CTS module is designed for dexterous robotic hands, grippers, and other Physical AI systems to detect contact and pressure distribution, supporting more precise grip control, object manipulation, and responsive interaction. The CTS module works effortlessly with Synaptics Astra® Edge AI processors. These processors serve as a multimodal sensing, inferencing, and connectivity hub unifying touch, vision, motor control, and other sensory signals into synchronized streams to facilitate hierarchical AI systems with support of NVIDIA Holoscan. As Physical AI platforms increasingly operate in highly dynamic environments and interact directly with humans and objects, developers need simulation environments that capture how contact and force behave at the point of touch. This simulation environment delivers a way to prototype tactile interactions and generate synthetic sensor data. It helps developers expedite validation cycles by enabling perception algorithms before deploying on physical hardware. The CTS platform is expected to provide: An optimized standard tactile module: High 2.5mm pitch taxel density with a 5x12 taxel array, supporting force ranges up to 100N with 0.1N resolution. Faster response, low-hysteresis proprietary sensor design: 10x faster rebound response than traditional foam sensors. Native Newton engine support: Built from the ground up for NVIDIA’s Newton physics simulation engine. The Astra AI-native processor platform is designed to: Aggregate touch, vision, and motion data into unified streams, delivered to NVIDIA Holoscan over standard Ethernet. Offload sensor collection and synchronization from central compute, so robotic platforms can interpret contact, grip, and movement locally. Bring localized Edge AI intelligence to humanoids, grippers, and industrial systems, cutting integration complexity.

Coca-Cola Europacific Partners plc announced that Nathalie Gaveau, Independent Non-executive Director, resigned from the Board with effect from September 16, 2026. Nathalie Gaveau served as an Independent Non-executive Director of Coca-Cola Europacific Partners plc since January 2019. She was a member of the Affiliated Transaction Committee and served as member of the Environmental, Social and Governance Committee from 2019 until 2025. Mary Harris, Senior Independent Director, will be appointed as interim member of the Affiliated Transaction Committee with effect from September 16, 2026. The Nomination Committee is reviewing the composition of the Board and its Committees following Nathalie's resignation and has begun a process to appoint a new independent non-executive director as required by Coca-Cola Europacific Partners plc's Articles of Association and the Shareholders' Agreement.

Nscale Limited entered into subscription agreement and will receive in an aggregate principal amount of a minimum of $3.1 billion, comprising of $2.1 billion of unsecured convertible loan notes and a further $1.0 billion of unsecured convertible loan notes or non-voting shares on September 15, 2026. The transaction will include participation from new investor NVIDIA Corporation for $1.0 billion. The transaction is expected to close on November 16, 2026. The company will issue unsecured convertible notes in this transaction. The convertible loan notes are convertible into ordinary shares automatically upon completion of the initial public offering. Unless earlier converted or repurchased, the convertible loan notes mature on June 15, 2028.

Qedma Quantum Computing announced an integration of QESEM software with the NVIDIA CUDA-Q platform. Qedma's integration with CUDA-Q is currently available for use with Quantinuum hardware and will be available for other quantum platforms in the future. Qedma's advanced error mitigation software, QESEM, mitigates the impact of noise present in today's quantum computers. CUDA-Q users can now incorporate Qedma's advanced error mitigation capabilities to their quantum workloads directly within the CUDA-Q environment, without changing their existing programming interface or workflow. Qedma recently demonstrated quantum advantage together with IBM, accurately resolving the dynamics of quantum materials unseen in classical simulation. The results marked the first time quantum advantage has been achieved with commercially available hardware and software, reaching a paradigm where multiple classical approaches failed to provide consistent, reliable answers.