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The Ministry of Education's Student Learning Space includes AI tools like Markly for teacher feedback, Authoring Copilot for lesson ideas and activities, and feedback assistants that give students immediate responses.
AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved. The post Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity appeared first on Microsoft Research .
Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents. As agentic AI continues to drive enterprise innovation and becomes more autonomous, organizations need access to computing […]
Microsoft’s Visual Studio Code editor has reached version 1.126, which is highlighted by a new security mode for untrusted code. Also with the new release, VS Code now displays total cost for chat sessions (instead of just for individual turns) and allows users to manage multiple chats side-by-side in a single agent host session. Published June 24 , VS Code 1.26 can be downloaded from code.visualstudio.com . VS Code 1.26 introduces a new security enhancement, Workspace Trust , that lets users decide whether project folders can automatically run code and adds a layer of security when working with unfamiliar code. Previously, opening a new folder immediately raised a dialog asking the user whether to trust the folder before they could look at its contents. Now, new folders open in Restricted Mode to prevent automatic code execution. Developers can browse the code safely first and then choose whether to trust the folder. Simplified model hovering also is featured in VS Code 1.126. The model hover now shows a one-word descriptor of the model’s capabilities and includes deep link buttons that take a user directly to the relevant configuration. In an enhancement to the Agents window , the dedicated companion window for exploring agent sessions across projects and machines, a Copilot session started from an agent host now can hold several chats at once. Because the chats share the same session and working context, users can keep more than one conversation going in the same workspac…
Court says Redmond can file briefs, take part in hearings amid challenge to the current path Big Tech's data spice uses to legally flow
In the Azure Edition, of course
@iamkishank Welcome to the forum! First, I do not use MCP myself, so please treat this as a helpful pointer rather than a confirmed diagnosis. I suspect that some of the MCP and authorization code may be shared across OpenAI tooling, including Codex. I mention Codex because it has a public GitHub repository with an active issues list . After having ChatGPT search the Codex issues, it identified this possibly related issue: github.com/openai/codex Custom STDIO MCP server enabled and tools/list works, but tools are not exposed in Codex Desktop thread opened 06:41PM - 05 Jun 26 UTC ilkerfatih44 bug windows-os mcp app ### What version of the Codex App are you using (From “About Codex” dialog)? Ve … rsion 26.602.40724 • Released 5 Haz 2026 ### What subscription do you have? Plus ### What platform is your computer? Microsoft Windows NT 10.0.26200.0 x64 ### What issue are you seeing? A custom STDIO MCP server is enabled in Codex Desktop and works correctly at the MCP protocol level, but its tools are not exposed to the active Codex Desktop thread. The MCP server appears enabled in Codex Desktop Settings → MCP servers. It also appears in `/mcp` as enabled. Local protocol probe succeeds: * initialize: OK * serverInfo: kuponcu-context-mcp v0.2.0 * tools/list returns 7 tools: * get_current_baseline * get_task_policy * get_forbidden_surfaces * get_validation_profile * search_project_sources * verify_hash_only * get_report_contract However, inside a Codex Desktop thread opened in the cor…
Interesting article about distributed transformers! The efficiency improvements in processing long sequences could have big implications for AI research.
Tech and AI stocks now make up as much as 12% of most balanced superannuation funds, experts say Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Artificial intelligence and technology stocks have become a driving force on Wall Street and, unbeknownst to most Australians, a growing part of their retirement savings . The so-called “magnificent seven” – chip maker Nvidia, Google owner Alphabet, Apple, Microsoft, Amazon, Facebook owner Meta and Tesla – are, for better or worse, increasingly part of the portfolios offered by superannuation funds. Continue reading...
마이크로소프트(MS)가 \'깃허브 코파일럿(GitHub Copilot)\'에 자체 AI 코딩 모델 적용을 확대하며 기업용 AI 코딩 시장 공략에 속도를 내고 있다. MS는 26일(현지시간) 자체 개발한 AI 코딩 모델 \'MAI-코드-1-플래시(MAI-Code-1-Flash)\'를 깃허브 코파일럿 비즈니스와 깃허브 코파일럿 엔터프라이즈 고객에게 정식 출시했다.빠른 응답 속도와 낮은 지연시간을 앞세워 대규모 개발 환경에서 반복적인 AI 코딩 작업을 지원하는 모델로, 기업용 깃허브 코파일럿에 MS의 자체 AI 기술을 본격적으로 확대 적용했다는
Former US Commerce Secretary Gina Raimondo has launched "Raise Us," a bipartisan nonprofit to prepare American workers for AI-driven job shifts. Amazon, Anthropic, Microsoft, and the OpenAI Foundation are jointly funding the initiative. That the very companies driving the disruption are bankrolling the response will likely raise questions about independence. The article The companies most likely to automate your job are now funding a $1 billion program to retrain you appeared first on The Decoder .
Plus: Former national security advisor John Bolton pleads guilty in classified-materials case, Microsoft helps take down major infostealer infrastructure, and more.
One of AI’s biggest selling points is all the high-value tasks employees will be free to accomplish with the time saved using AI. Reality, however, remains far from that. While IT workers and other employees do save several hours each week thanks to AI, more than half of that time is burned up babysitting the technology, a new study reveals. According to a survey from the Work AI Institute , digital workers save an average of 11 hours a week through AI, but the net time savings is much less, because they spend 6.4 hours a week “botsitting.” Botsitting involves activities such as feeding AI tools missing context, checking AI outputs, debugging AI mistakes , rerunning prompts, and cleaning up the confident-but-wrong answers they leave behind, as defined by the Work AI Institute, a research group founded by AI copilot and search provider Glean. The botsitting problem is real, several IT leaders agree, and it has serious implications for IT organizations. In many cases, organizations aren’t training their employees to effectively use AI, says Tal Carmi , CIO at digital adoption platform provider WalkMe. WalkMe’s 2026 State of Digital Adoption report found similar results, with employees losing nearly eight hours a week to botsitting, Carmi notes. At the same time, most employees use AI for shallow tasks like writing emails because they don’t trust it for more complex activities, WalkMe found. As a result, enterprises aren’t getting the full ROI of their AI purchases, Carmi says,…
NYT shifts OpenAI/Microsoft copyright claims after SCOTUS ruling against Sony.
Perplexity's Computer for Counsel extends Perplexity Computer to legal teams. It routes 20+ models across Midpage, MCP connectors, and Microsoft 365, with cited outputs lawyers can verify. The post Perplexity Launches Computer for Counsel: A Multi-Model Agentic Layer for Legal Workflows appeared first on MarkTechPost .
Microsoft says latest attack targets Leo Platform and RStreams packages, harvesting creds and going after more maintainers
La IA está acelerando proyectos de modernización que antes exigían meses de análisis. Pero en las organizaciones más reguladas aparece enseguida una realidad incómoda: el riesgo ya no está en convertir el código, sino en demostrar que la versión nueva sigue haciendo exactamente lo que hacía la anterior. Casi todos los comités de dirección han tomado la misma decisión este año: aplicar inteligencia artificial a sus sistemas. Y casi todos descubren lo mismo cuando bajan al detalle. La IA es fácil de añadir en la periferia —un chatbot , un copiloto, un cuadro de mando— y muy difícil de meter donde de verdad importa, que es el núcleo heredado. En banca, en seguros, en buena parte de la Administración, ese núcleo sigue siendo COBOL sobre mainframe, con décadas de parches encima y una documentación que, siendo generosos, es incompleta. Ahí es exactamente donde se concentra el riesgo regulatorio. Y ahí es donde más proyectos descarrilan. Llevo tres décadas en sectores regulados y el patrón se repite. El equipo de IT aborda la modernización como un problema de delivery —entregar rápido, cerrar tickets, pasar a producción— cuando en un sector supervisado el problema es de compliance . No se mide por lo que entregas, sino por lo que puedes defender. Cambiar ese chip es la mitad del trabajo. El espejismo del COBOL traducido La promesa es seductora. Hoy un modelo de lenguaje lee miles de líneas de COBOL, las documenta, las explica y propone una equivalencia en Java o en Python en una fr…
Regulator says subscribers may have been defaulted onto more expensive plans with Copilot features attached
AI is here, and we must help workers adapt: That’s the response of a new non-profit organization to the ongoing debate about whether AI will destroy jobs and cause catastrophe or take the economy to new heights. Launched Thursday, Raise Us is a nonpartisan national organization that says it will partner with state governors, employers, workers, and training organizations to help the US workforce make a successful transition to an AI economy. It says it will design and pilot new corporate incentives to retrain and redeploy workers, develop new approaches to support people through job transitions, and create new training models tied to changing employer demand. It has already raised more than $500 million and hopes to bring that up to $1 billion in multi-year commitments from philanthropists and industry sources. Anchor partners include Amazon, Microsoft, Anthropic, and the OpenAI Foundation, and more than two dozen other organizations including Cisco, IBM, ADP, AMD, and Deloitte have also signed on. The organization is led by two former US state governors, Gina Raimondo, who will serve as CEO and co-chair, and Eric Holcomb, co-chair, and its initial government partnerships are with the states of Arkansas, Connecticut, Maryland, and Utah, which, it said, “will serve as the first proving grounds for outcome-driven pilots.” However, analysts are skeptical that the initiative is anything other than a public-relations effort for the AI industry. Jason Andersen , VP and principal a…
The humble story of Cosentino starts in marble in southeastern Spain in 1945, and subsequent generations have gradually expanded into more diverse materials and color palettes, so now the company operates in more than 120 countries. And what also began in a small factory is now a vast complex exceeding 27 million square feet where machines, cranes, and robots move freely, loading pallets full of product destined for every corner of the globe. Together with partner Microsoft, Cosentino is tackling, like many others, how to most effectively adopt and maximize the potential of AI , and it will be the first industrial company in Spain to adopt the Microsoft Discovery platform. This technology, designed to accelerate scientific research, is particularly interesting to a company whose success is based on the discovery and validation of new materials for kitchens, facades, and interiors. width="1240" height="704" sizes="auto, (max-width: 1240px) 100vw, 1240px"> The Cosentino complex in Almería, Spain. GD | Foundry The research platform developed by Microsoft combines agentic AI, high-performance computing, and advanced KM to accelerate scientific and engineering processes by automating tasks such as literature reviews, hypothesis generation, simulations, and analyses, in order to integrate public and private data into a unified environment for researchers and engineers. For Cosentino, Discovery opens the door to anticipating optimal formulations before production, and reduces the n…
A new copyright lawsuit claims OpenAI copied millions of newspaper articles into AI training datasets while stripping copyright notices and author information before training GPT models. The post Why 35 US news publishers are suing OpenAI and Microsoft appeared first on MEDIANAMA .
Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models. The post Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks appeared first on The GitHub Blog .
The post Copilot in Excel: Built for the era of Frontier Finance appeared first on Source .
The post Today we’re bringing skills to Copilot for Excel, giving teams a new way to scale their expertise across every workbook. appeared first on Source .
Microsoft’s controversial claim that its Majorana chip program will make possible a scalable quantum computer by 2029 has been thrown into new doubt by a scientific paper that questions whether the company has correctly interpreted its own experimental evidence. According to a peer-reviewed paper by Dr. Henry Legg from the University of St Andrews, published this week in Nature , Microsoft’s Topological Gap Protocol (TGP) framework, designed to infer the existence of quantum states in theorized Majorana particles, is flawed. “Last year Microsoft claimed they had built the equivalent of a precision Swiss watch. However, when I opened the case to examine the mechanism, I found what looked like a chaotic jumble of mismatched parts,” said Legg . He believed the results gathered from Microsoft’s TGP software data analysis could also be explained by other effects, as well as being skewed by the data chosen for analysis. Because of this, he believed the company’s researchers had jumped to the wrong conclusions. “Something was making noise, but it didn’t look like the breakthrough Microsoft had claimed. Despite the headlines, the vast majority of scientists in the field were skeptical of Microsoft’s claim from the start; my critique simply backs up that skepticism in the scientific record,” he said. Topological qubits The ability to create Majorana ‘zero modes’ that resist the errors suffered by traditional qubit-based designs is fundamental to Microsoft’s entire quantum computing s…
Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language. The post Understanding the brain with AI-driven explanations and experiments appeared first on Microsoft Research .
The European Bank for Reconstruction and Development and Microsoft have entered a partnership aimed at helping promising African startups use artificial intelligence to improve their operations and prepare for expansion. The organizations signed a memorandum of understanding during the EBRD’s annual meetings in Amsterdam. The agreement establishes a framework for a pilot programme focused on [...]
Microsoft has been rethinking its commitment to Windows for a while now, with Insider builds of the operating system showing a swing away from web-based user experiences and back to native code. That commitment got a boost at Build 2026 with a bundle of announcements that focused on tools and features that help developers take advantage of the platform. The most obvious is support for the standard core Unix utilities, in the shape of a Microsoft-maintained fork of the popular Rust-based uutils coreutils package , Coreutils for Windows . Coreutils for Windows installs as a single binary, making it easier to update and manage. And it is one of those tools that does exactly what it says on the tin, providing a Windows implementation of the commands you’re using in Linux virtual machines or in Windows Subsystem for Linux (WSL). Building on Windows Terminal with Coreutils Much of the Windows developer experience has moved back to the command line via Windows’ rearchitected terminal, underscoring the need for a consistent experience across the multiple development environments running on your PC. The context switch between a Linux environment through WSL or in a Visual Studio remote terminal and the Windows PowerShell and cmd environment can be jarring. I often find myself typing a Unix command in Windows and vice versa, seeing an all-too-familiar error message, followed by trying to remember what I should have typed, and finally trying again. It wastes time and fills my terminal…
Talos was built to help resolve a major bottleneck in genomic medicine: human review time. The open-source system recovered 90% of in-scope diagnoses while surfacing just 1.3 candidate variants per patient for expert review. The post Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis appeared first on Microsoft Research .
The post Microsoft’s New AI in Education Report highlights widespread adoption and increasing demand for support appeared first on Source .
The post Inside Microsoft’s two-decade push to cut water intensity while scaling for growth appeared first on Source .
Microsoft has been pushing hard to make Visual Studio Code a major way to consume its AI services, mostly in the form of GitHub Copilot . GitHub Copilot’s deep integration with VS Code brings many conveniences — inline autocomplete, for instance — but it’s frustrating for those, like me, who would rather use another model provider, or even a locally hosted LLM, for those functions. Visual Studio Code 1.122 introduced a new feature, “ Use BYOK [Bring Your Own Key] without a GitHub sign-in ,” that allows you to “use chat, tools, and MCP servers in air-gapped or restricted environments where GitHub sign-in isn’t possible.” More importantly, it “enables fully offline workflows with local models like Ollama.” In other words, you can now use locally hosted LLMs for chat, tools, and Model Context Protocol servers inside Visual Studio Code. The one thing you still can’t do is use a local LLM for inline and next-edit suggestions — at least, not without additional tooling. Choosing a model for BYOK mode If you want to use a local LLM with VS Code’s bring-your-own-model system, the first thing you need is a way to host the model. VS Code lacks a model-hosting mechanism of its own, although it’s conceivable that a VS Code extension may offer something like that in the future. That said, hosting models is complicated enough that a dedicated app is really needed for the job. One easy way to host models is via a product like LM Studio , a convenient GUI for standing up, serving, and managi…
This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector similarity search over protein embeddings using a specialized language model and ai-generated scientific summaries of search results.
The post Microsoft completes construction on first datacenter facility in Mount Pleasant, Wisconsin appeared first on Source .
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platforms. Each post highlights practical ways to use an open stack to deliver real value in production — from transparent research copilots […]
In the past year, the enterprise AI ecosystem has gained enormous capability and zero consensus. Developers now have a remarkable set of tools for building AI agents: OpenAI’s frameworks, Anthropic’s Claude tooling, LangChain, LangGraph, CrewAI, Microsoft AutoGen, and a growing list of alternatives. Each promises to coordinate reasoning loops, manage multi-step task execution, and connect agents to tools and APIs. For experimentation, the progress has been substantial. Teams can now assemble sophisticated agent workflows in days that would have taken months two years ago. But I’ve watched this pattern before. In over two decades of building and selling distributed systems platforms, I’ve seen the same dynamic play out across nearly every major infrastructure shift: the tools for consuming a new capability arrive before the infrastructure for governing it does. The gap that emerges isn’t immediately obvious in development environments. It becomes obvious in production. That’s exactly where enterprise AI stands today. What agent frameworks don’t handle Modern agent frameworks are fundamentally coordination systems. They determine what a system should do: which tools to call, how to sequence tasks, how to delegate work across agents. That’s hard work, and they’ve gotten quite good at it. What they rarely address is where those tasks are allowed to run, and under what conditions. Take a seemingly simple workflow: summarize customer support transcripts using an LLM. In a developm…
Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.…
A new form of vendor lock-in is here. And it’s not proprietary languages or rigid enterprise software suites — it’s something more fundamental. It’s the very thing that writes the code. JetBrains Research found that 74% of developers worldwide use AI tools. Claude Code , available only since May 2025, is now the most popular AI coding tool, followed by Gemini Code Assist and GitHub Copilot , according to Jellyfish’s 2026 State of Engineering Management Report . The latter study also found that 91% of developers say their productivity has increased in the past 12 months. As coding output expectations are rewritten daily , the engineering world is becoming heavily reliant on paid external AI services. Gartner predicts that by 2028 spending on AI coding tokens could exceed developer salaries. Yet, tokenmaxxing while vibe coding through a vendor’s cloud-based API feels like a far cry from the open foundations of free programming languages and open models, which many of today’s AI platforms now abstract. “Open infrastructure will be the backbone of the AI era,” says Peter Farkas , CEO of Percona , a provider of open-source database solutions. “Right now, too many companies are building their entire AI strategy on top of proprietary platforms because the convenience is seductive.” “It’s ‘three clicks’ to stand up a database or an AI service in a hyperscaler, and that convenience blinds people to the lock-in they’re signing up for,” he adds. “As AI workloads mature, organizations w…
Ten days after Washington pulled Anthropic's top models from foreign hands, the bill came due. This week Beijing blacklisted 56 American firms, Anthropic's own filing admitted the trigger was a routine coding request rival models can run, and Microsoft's CEO warned that letting "a few models eat everything" won't survive politically. The export war just stopped being one-directional — here's the week that made it mutual.
Qubot, our internal Copilot-powered analytics agent, allows any GitHub employee to ask questions about our data in plain language. Here's what we learned as we built it. The post How we built an internal data analytics agent appeared first on The GitHub Blog .
How GitHub Copilot is making more of each session go toward useful work, so your credits go further. The post Getting more from each token: How Copilot improves context handling and model routing appeared first on The GitHub Blog .
The Cost Reality of Running AI at Scale Budget shock is already happening. Multiple major players have pulled back on AI features or subscriptions due to unexpectedly high token costs. Amazon removed its token leaderboard and Microsoft cancelled Claude Code subscriptions. These are early signals that the deploy-everywhere approach is hitting hard financial limits, not Continue reading "Tokenomics: AI’s New Design Constraint" The post Tokenomics: AI’s New Design Constraint appeared first on Gradient Flow .
GitHub Copilot CLI for Beginners: Learn how to use slash commands to control your terminal AI agent. The post GitHub Copilot CLI for Beginners: Overview of common slash commands appeared first on The GitHub Blog .
Better orchestration, fewer handoffs, faster progress, without a single new knob. The post How we made GitHub Copilot CLI more selective about delegation appeared first on The GitHub Blog .
Project Ire examined a timely malware sample and determined its intent through reverse engineering—identifying LOTUSLITE characteristics even as most major EDR tools did not detect it. The post Ire identifies another LOTUSLITE specimen appeared first on Microsoft Research .
Visa just wired ChatGPT to shop and pay on your behalf — an AI agent can now buy at any Visa merchant without you clicking "buy." It capped a week where the labs pushed autonomy and capital to new highs: Anthropic put Claude Fable 5, its most powerful public model, into everyone's hands; Jeff Bezos came out of stealth with Prometheus, a $41B startup building an "artificial general engineer." A self-replicating worm hit 73 of Microsoft's own GitHub repositories through AI coding tools. Anthropic broke with the White House over preempting state AI laws; a German court ruled Google is liable for what its AI Overviews say. The agents got more capable this week — and a lot more autonomous.
Microsoft Build sit-down with Mustafa Suleyman on Microsoft’s 7-model AI flex
Install and configure LSP servers for GitHub Copilot CLI, replacing brute-force grep/decompile with real code intelligence. The post Give GitHub Copilot CLI real code intelligence with language servers appeared first on The GitHub Blog .
At Computex 2026, an annual computer trade show held in Taipei, Taiwan, Nvidia made a long anticipated announcement—a version of the company’s Blackwell GB10 superchip for Windows PCs, called RTX Spark. Originally rumored to launch in 2025 , it was finally introduced at this year’s show. It came with full support from Microsoft, which announced two new devices powered by RTX Spark: the Surface Laptop Ultra and the Surface RTX Spark Dev Box . Asus, Dell, Lenovo, HP, and MSI also announced Windows PCs with RTX Spark. If this is triggering déjà vu, that’s for good reason. In June 2024, Qualcomm and Microsoft partnered to launch AI-focused Copilot+ PCs. Qualcomm’s Arm-based chips provided an alternative to x86-based chips from AMD and Intel used across dozens of budget and mid-range Windows laptops. It was met with mixed commercial success, however, and Intel remains the dominant supplier of chips for Windows laptops. But that doesn’t mean RTX Spark will follow the same path, as Nvidia’s involvement is an important part of the equation. “Nvidia just has more clout and more industry weight to push and make things happen that Qualcomm couldn’t do early on, and that even Microsoft struggled with,” says Ryan Shrout , president at Signal65 , a third-party testing firm. “They can get game developers on board and get software developers in the emerging AI space to pay attention.” What is RTX Spark? At its core, RTX Spark is an iteration of the hardware found in the DGX Spark mini-works…
Microsoft used its own developer conference to show it can live without OpenAI, Florida's attorney general sued OpenAI and went after Sam Altman personally, researchers and a new Workday product made plain that nobody trusts AI agents yet, and Alphabet raised a record $85 billion the same week the Fed flagged AI as a systemic risk. The money is moving faster than the trust.
Retail supply chains are not a back-office logistics function; they are a high-stakes, board-level concern. Imagine learning suddenly that shipment rerouting surcharges have doubled due to new regional escalations; the impact on competitive differentiation and consumer trust is immediate. As a result, a long-standing focus on linear efficiency and lean inventory is being disrupted by a mandate for resilience and AI-driven responsiveness. To survive, retailers must move beyond the rigidity of legacy systems and embrace an AI-ready data platform that can pivot as fast as headlines change. Indeed, a 2026 study by KPMG reported that businesses are establishing new performance metrics, centered around post-disruption recovery time, supplier diversification, sourcing agility, revenue growth from improved experiences, cost savings, and employee engagement. Now, retailers are modernizing their supplier management capabilities. An effective supplier management application that boosts visibility, builds resilience, and delivers material business benefits must be underpinned by unified supplier data and AI copilots. To unlock these next-generation capabilities, retail leaders use MongoDB as a unified data foundation, enabling the high-velocity intelligence and material results required in today’s volatile landscape. However, the business agility of many organizations remains restricted by their enterprise resource planning (ERP) systems, which were designed for an era when stability wa…
Microsoft missed the boat on apps, so get ready for agents.
NVIDIA and Microsoft birthed a new computer
Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .
The post There is no Copilot without the pilots, says Slovenian insurance executive appeared first on Source .
Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems. The post Extending Human Intelligence Through AI appeared first on Microsoft Research .
Over the weekend: Musk, Zuckerberg, and Sacks killed Trump's draft AI safety executive order in three Wednesday-night phone calls. Anthropic closed a $30B+ round the same Saturday — while Microsoft quietly cancelled its internal Claude Code pilot after token billing ate the entire annual AI budget, redirecting developers to Copilot. CISA logged 15,000 attacks on a same-week Drupal SQL flaw. The first cross-registry supply chain attack — TrapDoor — hit npm, PyPI, and Crates.io at once, using .cursorrules and CLAUDE.md config files as the carrier. And the White House personally overrode the Pentagon to keep Claude inside the NSA.
MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and orchestration to support efficient agentic performance on everyday tasks. The post MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models appeared first on Microsoft Research .
Vega turns a full credential into a single proof, sharing only what is needed and nothing more, with performance that works in real apps. The post Vega: Zero-knowledge proofs for digital identity in the age of AI appeared first on Microsoft Research .
The healthcare industry is ground zero for AI companies and the rollout of their products: Microsoft tells us that AI is better than doctors at diagnosing complex medical conditions. Nvidia claims that its chatbot, a partnership with the startup Hippocratic AI, can outperform nurses on detecting over the counter drug toxicities. AI firms suggest that […] The post Expanding our AI and Healthcare Portfolio appeared first on AI Now Institute .
Through a new joint letter, we're calling on Microsoft to publish the findings of its review into the Israeli military’s use of the company services. The post Microsoft: it’s time to come clean about your ties to the Israeli military appeared first on Access Now .
A follow up to our open letter regarding Microsoft’s formal review of recent allegations about Israel’s usage of Azure cloud for the surveillance and targeting of Palestinians. The post Joint letter to Microsoft regarding Israeli military use of Azure cloud and AI services appeared first on Access Now .
Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows. We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim. The research aims to develop robust evaluation methods for long-horizon delegated and […] The post Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability appeared first on Microsoft Research .
mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy to build and integrate into other projects. It provides bounded worst-case allocation times (up to OS primitives), bounded space overhead, low internal fragmentation, and minimal contention by relying almost exclusively on atomic operations. The post mimalloc: A new, high-performance, scalable memory allocator for the modern era appeared first on Microsoft Research .
Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health. The post GridSFM: A new, small foundation model for the electric grid appeared first on Microsoft Research .
CSET’s Jessica Ji shared her expert perspective in an article published by CNN. The article examines new agreements between Microsoft, Google, and xAI to allow the U.S. government to evaluate unreleased AI models for cybersecurity and national security risks before launch. The post Microsoft, Google and xAI will let the government test their AI models before launch appeared first on Center for Security and Emerging Technology .
First week of Musk v. Altman, OpenAI ends Microsoft legal peril over its $50B Amazon deal, DeepSeek previews new AI model that ‘closes the gap’ with frontier models, and more!
The EU Commission’s policy on data centers keeps information on the energy and water use of individual centers under wraps. Research by Corporate and Europe Observatory and AlgorithmWatch, published by Investigate Europe, reveals the Commission copied and pasted an amendment suggested by Microsoft and the lobby group Digital Europe. The aim: To prevent NGOs from obtaining information on energy-hungry data centers in the face of growing resistance.
I used coding agents to build agents that automated part of my job. Here's what I learned about working better with coding agents. The post Agent-driven development in Copilot Applied Science appeared first on The GitHub Blog .
Build production-ready agent workflows with a single prompt in Claude Code, Cursor, and GitHub Copilot.
Learn how GitHub built an accessible, multi-terminal-safe ASCII animation for the Copilot CLI using custom tooling, ANSI color roles, and advanced terminal engineering. The post From pixels to characters: The engineering behind GitHub Copilot CLI’s animated ASCII banner appeared first on The GitHub Blog .