ML and AI Research

by AI on May 11, 2026

This week, the new, AI-powered Google Finance is launching across Europe, with full local language support. This reimagined experience offers a suite of powerful capabil…

by Machine learning : nature.com subject feeds on May 11, 2026

by Matthew Leib (NVIDIA Blog) on May 10, 2026

“You are entering the world at an extraordinary moment,” NVIDIA founder and CEO Jensen Huang told graduates as he delivered the keynote address at Carnegie Mellon University’s 128th commencement ceremony on Sunday. “A new industry is being born. A new era of science and discovery is beginning.” “No generation has entered the world with more

by Machine learning : nature.com subject feeds on May 9, 2026

by Andrea Britto Mattos Lima, Thiago Vallin Spina, Weiwei Yang, Spencer Fowers, Ruslan Nagimov, Baosen Zhang (Microsoft Research) on May 8, 2026

Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from publicly available data. The ability to study transmission-level power grid behavior is essential for modern power systems research. Analyses of congestion, transmission expansion, demand growth, and system resilience all depend on network models with realistic The post Building realistic electric transmission grid dataset at scale: a pipeline […]

by AI on May 8, 2026

Today we're launching The Small Brief, an initiative bringing together three ad industry icons to champion a local businesses they love. Their mission is to build breakt…

by Yuan Tian (Artificial Intelligence) on May 8, 2026

In this post, we'll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-answering capability for Halliburton's Seismic Engine tools and documentation. We'll cover the technical details of the solution, share evaluation results showing workflow acceleration of up to 95%, and discuss key learnings that can help other organizations enhance their complex technical workflows with generative AI.

by Machine learning : nature.com subject feeds on May 8, 2026

by Brian Caulfield (NVIDIA Blog) on May 7, 2026

AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called “Powering the Next American Century.” Their argument: American

by Vanessa Ji (Artificial Intelligence) on May 7, 2026

In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML and Amazon SageMaker training plans. These solutions can address GPU availability challenges when you need short-term capacity for load testing, model validation, time-bound workshops, or preparing inference capacity ahead of a release.

by Surya Kari (Artificial Intelligence) on May 7, 2026

In this post, you will learn how to implement reinforcement learning with verifiable rewards (RLVR) to introduce verification and transparency into reward signals to improve training performance. This approach works best when outputs can be objectively verified for correctness, such as in mathematical reasoning, code generation, or symbolic manipulation tasks. You will also learn how to layer techniques like Group Relative Policy Optimization (GRPO) and few-shot examples to […]

by GeForce NOW Community (NVIDIA Blog) on May 7, 2026

Less typing, more tanking. Faster logins mean more time in the gaming action — and this week provides GeForce NOW members with a smoother path straight into the battlefield. Cloud gaming is all about instant access to titles across devices, and the latest GeForce NOW update removes another layer for members jumping into their Gaijin

by Preethi C N (Artificial Intelligence) on May 7, 2026

Today, we're announcing a preview of Amazon Bedrock AgentCore Payments, a new set of features in Amazon Bedrock AgentCore that enables AI agents to instantly access and pay for what they use. AgentCore Payments was developed in partnership with Coinbase and Stripe.

by Machine learning : nature.com subject feeds on May 7, 2026

by (AI) on May 6, 2026

We’ve rounded up the top ways you can use Google’s AI Mode, Search Live and Shopping to help your plants thrive.

by Ray Wang (Artificial Intelligence) on May 6, 2026

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accuracy, Tomofun turned to EC2 Inf2 instances powered by AWS Inferentia2, the Amazon purpose-built AI chips. In this post, we walk through the following sections in detail.

by Gilad Shainer (NVIDIA Blog) on May 6, 2026

The race to build the world’s most powerful AI factories demands networking that keeps pace with the ambitions of AI itself.  NVIDIA Spectrum-X Ethernet scale-out infrastructure stands at the forefront of that race as the most advanced AI networking technology available today, deployed by industry leaders who can’t afford to compromise on performance, resilience or

by Google DeepMind News on May 6, 2026

Explore how AlphaEvolve's Gemini-powered algorithms are driving impact across business, infrastructure, and science.

by Machine learning : nature.com subject feeds on May 6, 2026

by Kari Briski (NVIDIA Blog) on May 5, 2026

Enterprise AI has learned to generate. It has learned to reason. Now companies are asking the next question: How should AI act? Early agent systems have shown what’s possible, moving beyond simple prompts to take on more complex tasks. The next step is bringing those capabilities into enterprise environments — where agents must operate with

by Aamna Najmi (Artificial Intelligence) on May 5, 2026

Hapag-Lloyd's Digital Customer Experience and Engineering team, distributed between Hamburg and Gdańsk, drives digital innovation by developing and maintaining customer-facing web and mobile products. In this post, we walk you through our generative AI–powered feedback analysis solution built using Amazon Bedrock, Elasticsearch, and open-source frameworks like LangChain and LangGraph

by Sandeep Raveesh-Babu (Artificial Intelligence) on May 5, 2026

Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined experiment tracking to your generative AI workflows. Building on the foundations established with Amazon SageMaker AI MLflow Apps, this latest version introduces powerful new features for observability, evaluation, and generative

by Evandro Franco (Artificial Intelligence) on May 5, 2026

We’re announcing OS Level Actions for AgentCore Browser. This new capability unblocks these scenarios by exposing direct OS control through the InvokeBrowser API, so agents can interact with content visible on the screen, not only what's accessible through the browser's web layer. By combining full-desktop screenshots with mouse and keyboard control at the OS level, agents can observe native UI, reason about it, and act on it within the same session. This post walks […]

by Sujata Banerjee (Microsoft Research) on May 5, 2026

Microsoft researchers share advances in building and operating large-scale distributed systems, spanning datacenters, networking, and the growing intersection with AI during NSDI ’26. The post Microsoft at NSDI 2026: Advances in large-scale networked systems appeared first on Microsoft Research.

by AI on May 5, 2026

Google is partnering with XPRIZE and Range Media Partners on the $3.5 million Future Vision film competition.

by Julian Grüber (Artificial Intelligence) on May 5, 2026

AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether they run on compute platforms like Amazon ECS, Amazon EKS, AWS Lambda, or on-premises. This post implements Authorization Code Grant (3-legged OAuth) on Amazon ECS with secure session binding and scoped tokens.

by Tyler Huehmer (Artificial Intelligence) on May 5, 2026

In this post, you will learn how you can use Amazon Nova Foundation Models in Amazon Bedrock to apply generative AI techniques for both business protection and enhancement. You can identify obvious and disguised attempts at direct contact while gaining valuable insights into customer sentiment and service improvement opportunities.

by Machine learning : nature.com subject feeds on May 5, 2026

by Machine learning : nature.com subject feeds on May 5, 2026

by Machine learning : nature.com subject feeds on May 5, 2026

by Machine learning : nature.com subject feeds on May 5, 2026

by Salim Khan (Artificial Intelligence) on May 4, 2026

Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams need to explore further, ad-hoc, multi-dimensional, or unforeseen questions, they hit a bottleneck. They wait hours or days for BI teams to build new views

by Bharathi Srinivasan (Artificial Intelligence) on May 4, 2026

Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models evolve, user behavior shifts, and prompts get reused in new contexts they were never designed for. Agent quality quietly degrades. In most teams, the improvement

by Lauren Mullennex (Artificial Intelligence) on May 4, 2026

Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire journey, from use case definition and data preparation through technique selection, evaluation, and deployment. In this post, we walk you through the model customization lifecycle using SageMaker AI agent skills.

by (AI) on May 4, 2026

Here are Google’s latest AI updates from April 2026

by Salim Khan (Artificial Intelligence) on May 4, 2026

Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more datasets to a production-ready analysis in minutes. Data analysts building recurring operations reports, program managers preparing a leadership review, or engineers exploring a new dataset can

by Raji Sivasubramaniam (Artificial Intelligence) on May 4, 2026

Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in an Amazon S3 table bucket without the need for intermediate data layers. In this post, we explored how Amazon Quick’s new Amazon S3 Tables data source enables near real-time analytics while streamlining modern data architectures.

by Surendran Raju (Artificial Intelligence) on May 4, 2026

In this post, you learn how to get started with Dataset Q&A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets and multi-dataset querying in a single conversation.

by Kareem Syed-Mohammed (Artificial Intelligence) on May 4, 2026

Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI automatically works through your list whenever capacity is constrained at creation, during scale-out, and during scale-in. Your endpoint provisions on available AI Infrastructure without manual intervention. This capability is available for Single Model Endpoints, Inference Component-based endpoints, […]

by (AI) on May 4, 2026

Event-Driven Webhooks are a push-based notification system that eliminates the need for inefficient polling.

by Machine learning : nature.com subject feeds on May 4, 2026

by Machine learning : nature.com subject feeds on May 4, 2026

by Machine learning : nature.com subject feeds on May 4, 2026

by Machine learning : nature.com subject feeds on May 4, 2026

by Machine learning : nature.com subject feeds on May 2, 2026

by Machine learning : nature.com subject feeds on May 2, 2026

by Anantha Choppalli, Ahil Gunasekaran, Taher Paratha (Artificial Intelligence) on May 1, 2026

In this post, we walk through the full journey, from setting up your migration workspace in AWS Transform to subscribing to partner agents through AWS Marketplace to unlocking Amazon Quick capabilities that change how your organization consumes data.

by Machine learning : nature.com subject feeds on May 1, 2026

by Machine learning : nature.com subject feeds on May 1, 2026

by Machine learning : nature.com subject feeds on May 1, 2026

by Gagan Bansal, Shujaat Mirza, Keegan Hines, Will Epperson, Zachary Huang, Whitney Maxwell, Pete Bryan, Tyler Payne, Adam Fourney, Amanda Swearngin, Wenyue Hua, Tori Westerhoff, Amanda Minnich, Maya Murad, Ece Kamar, Ram Shankar Siva Kumar, Saleema Amershi (Microsoft Research) on April 30, 2026

Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches. The post Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale appeared first on Microsoft Research.

by Hemanth Kumar Jayakumar (Artificial Intelligence) on April 30, 2026

In this post, we take a deeper look at how RLAIF or RL with LLM-as-a-judge works with Amazon Nova models effectively.

by Justin Boitano (NVIDIA Blog) on April 30, 2026

By early 2026, the open source project OpenClaw had become a phenomenon. In January, its GitHub star count crossed 100,000 as developer interest surged.

by Long Chen (Artificial Intelligence) on April 30, 2026

In this post, we introduce a systematic framework for LLM migration or upgrade in generative AI production, encompassing essential tools, methodologies, and best practices. The framework facilitates transitions between different LLMs by providing robust protocols for prompt conversion and optimization.

by GeForce NOW Community (NVIDIA Blog) on April 30, 2026

[Editor’s note] The blog has been updated to note that GeForce RTX 5080-power expansion also extends to the Install-to-Play library. It’s gonna be May — and the cloud’s in full festival mode.  16 games are joining GeForce NOW this month, including new AAA titles arriving on launch day from Steam, Xbox, PC Game Pass and

by Google DeepMind News on April 30, 2026

Researching the path to AI-augmented care and development of an AI co-clinician.

by Machine learning : nature.com subject feeds on April 30, 2026

by Machine learning : nature.com subject feeds on April 30, 2026

by Machine learning : nature.com subject feeds on April 29, 2026

by Machine learning : nature.com subject feeds on April 29, 2026

by Machine learning : nature.com subject feeds on April 29, 2026

by Kari Briski (NVIDIA Blog) on April 28, 2026

AI agent systems today juggle separate models for vision, speech and language — losing time and context as they pass data from one model to the other. Unveiled today, NVIDIA Nemotron 3 Nano Omni is an open multimodal model that brings these capabilities together into one system, enabling agents to deliver faster, smarter responses with

by (AI) on April 28, 2026

Google’s sharing 20 fun facts to celebrate Google Translate turning 20, from its roots as a 2006 AI experiment to supporting almost 250 languages today.

by Bhoomi Gadhia (NVIDIA Blog) on April 28, 2026

Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment. 

by Machine learning : nature.com subject feeds on April 28, 2026

by Machine learning : nature.com subject feeds on April 28, 2026

by Machine learning : nature.com subject feeds on April 28, 2026

by Machine learning : nature.com subject feeds on April 28, 2026

by (AI) on April 27, 2026

Google is bringing back its 5-Day AI Agents Intensive Course with Kaggle and registration is open.

by Google DeepMind News on April 27, 2026

Google DeepMind and Korea partner to accelerate scientific breakthroughs using frontier AI models

by Machine learning : nature.com subject feeds on April 27, 2026

by Machine learning : nature.com subject feeds on April 27, 2026

by Machine learning : nature.com subject feeds on April 27, 2026

by (AI) on April 24, 2026

Organize your home and digital space with Gemini. Use AI-powered tips for cleaning schedules, inbox decluttering, seasonal chores.

by Justin Boitano (NVIDIA Blog) on April 23, 2026

AI agents have revolutionized developer workflows, and their next frontier is knowledge work: processing information, solving complex problems, coming up with new ideas and driving innovation.  Codex, OpenAI’s agentic coding application, is enabling this new frontier. It’s now powered by GPT-5.5, OpenAI’s latest frontier model, which runs on NVIDIA GB200 NVL72 rack-scale systems.  Over 10,000

by GeForce NOW Community (NVIDIA Blog) on April 23, 2026

GeForce NOW is doubling down on what matters most: gamers. This week’s upgrades bring smarter libraries, making it easier than ever for gamers to turn a PC collection into a cloud-powered flex. It starts with giving existing libraries time to shine. Gamers can bring the games they love to the cloud, stream them with high

by Brian Caulfield (NVIDIA Blog) on April 23, 2026

This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data.

by AI on April 23, 2026

Learn how Google’s TPUs power increasingly demanding AI workloads with this new video.

by AI on April 23, 2026

Google has been a proud part of Austria’s landscape for years, and today, we’re announcing our first data center in Kronstorf, generating 100 direct jobs. This facility …

by Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Rujia Wang, Chetan Bansal (Microsoft Research) on April 22, 2026

Deploying large language models (LLMs) in real-world, high-stakes settings is harder than it should be. In high-stakes settings like law, medicine, and cloud incident response, performance and reliability can quickly break down because adapting models to domain-specific requirements is a slow and manual process that is difficult to reproduce. The core challenge is domain adaptation, The post AutoAdapt: Automated domain adaptation for large language models appeared first on […]

by NVIDIA Writers (NVIDIA Blog) on April 22, 2026

Across climate, conservation, disaster monitoring and recycling, NVIDIA AI is enabling applications protecting the planet.

by Ian Buck (NVIDIA Blog) on April 22, 2026

NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services.  This foundation enables developers, startups and enterprises to push agentic and physical AI out of the lab and into production — from agents that

by AI on April 22, 2026

The eighth generation of Google’s TPU includes two specialized chips that will power the future of AI.

by Google DeepMind News on April 22, 2026

by Google DeepMind News on April 21, 2026

Google DeepMind partners with global consultancies to bring the power of frontier AI to organizations around the world.

by (AI) on April 21, 2026

Three new agentic safety and policy features integrated into Ads Advisor will help protect and streamline your Google Ads account.

by Doug Burger, Amy Luers, Ishai Menache (Microsoft Research) on April 20, 2026

Doug Burger, sustainability expert Amy Luers, and optimization researcher Ishai Menache examine the global emissions implications of datacenter operations, efficiency gains, and AI's potential across electrification, materials, and food systems. The post Can we AI our way to a more sustainable world? appeared first on Microsoft Research.

by Richard Kerris (NVIDIA Blog) on April 20, 2026

AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration.  As demand for personalized customer experiences surges, brands require intelligent systems

by James McKenna (NVIDIA Blog) on April 20, 2026

Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production.  The question is no longer whether to adopt AI, but how fast and at what

by (AI) on April 17, 2026

The latest tools from Google can help you plan trips, find a great deal and explore your next destination.

by (AI) on April 16, 2026

Today’s upgrades for AI Mode in Chrome transform how you interact with the web

by (AI) on April 16, 2026

Nano Banana 2 now uses your personal context and Google Photos to create images that reflect your unique life.

by GeForce NOW Community (NVIDIA Blog) on April 16, 2026

Head straight for orbit with GeForce NOW — no space helmet required.  PRAGMATA, Capcom’s long-awaited sci-fi action adventure, touches down on GeForce NOW the same day it launches worldwide. The futuristic journey through a cold lunar station in the near future can be streamed instantly from the cloud to almost any device, no console or

by Google DeepMind News on April 15, 2026

Our newest audio model introduces granular audio tags that give you precise control to direct AI speech for expressive audio generation.

by Shruti Koparkar (NVIDIA Blog) on April 15, 2026

Traditional data centers only stored, retrieved and processed data. In the generative and agentic AI era, these facilities have evolved into AI token factories. With AI inference becoming their primary workload, their primary output is intelligence manufactured in the form of tokens.  This transformation demands a corresponding shift in how the economics of AI infrastructure,

by (AI) on April 15, 2026

Gemini 3.1 Flash TTS is now available across Google products.

by (AI) on April 14, 2026

Skills in Chrome let you discover, save and remix AI workflows — and repeat them instantly.

by (AI) on April 14, 2026

Google is bringing people together in Washington D.C. at our AI for the Economy Forum.

by Google DeepMind News on April 13, 2026

Gemini Robotics ER 1.6: Enhancing spatial reasoning and multi-view understanding for autonomous robotics.

by Jaime Teevan, Sonia Jaffe, Rebecca Janssen, Nancy Baym, Siân Lindley, Bahar Sarrafzadeh, Brent Hecht, Jenna Butler, Jake Hofman, Sean Rintel (Microsoft Research) on April 9, 2026

For the past five years, the New Future of Work report has captured how work is changing. This year, the shift feels especially sharp. Previous editions have focused on technology’s role in increasing productivity by automating tasks, accelerating communication, and expanding access to information, as well as the rise of remote work. Today, generative AI The post New Future of Work: AI is driving rapid change, uneven benefits appeared first on Microsoft Research.

by Jaime Teevan, Jenna Butler, Jake Hofman, Rebecca Janssen (Microsoft Research) on April 9, 2026

Microsoft Chief Scientist Jaime Teevan and researchers Jenna Butler, Jake Hofman, and Rebecca Janssen unpack the New Future of Work Report 2025 and explore the ideal AI-driven working world. Plus, is AI a tool or a collaborator? And why the answer matters. The post Ideas: Steering AI toward the work future we want appeared first on Microsoft Research.

by Google DeepMind News on April 2, 2026

Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.

by (AI) on April 2, 2026

Google is introducing two new inference tiers to the Gemini API, Flex and Priority, to balance cost and latency.

by Lexin Zhou, Xing Xie (Microsoft Research) on April 1, 2026

AI benchmarks report how large language models (LLMs) perform on specific tasks but provide little insight into their underlying capabilities that drive their performance. They do not explain failures or reliably predict outcomes on new tasks. To address this, Microsoft researchers in collaboration with Princeton University and Universitat Politècnica de València introduce ADeLe (opens in new tab) (AI The post ADeLe: Predicting and explaining AI performance across […]

by Andrea Tupini, Lars Liden, Reuben Tan, Yu Wang, Jianfeng Gao (Microsoft Research) on March 26, 2026

Imagine a robot tasked with cleaning a kitchen. It needs to observe its environment, decide what to do, and adjust when things don’t go as expected, for example, when the mug it was tasked to wash is already clean, or the sink is full of other items. This is the domain of embodied AI: systems The post AsgardBench: A benchmark for visually grounded interactive planning appeared first on Microsoft Research.

by Sehun Jung, HyunJee Song, Dong-Hee Kim, Reuben Tan, Jianfeng Gao, Yong Jae Lee, Donghyun Kim (Microsoft Research) on March 26, 2026

Vision-language models (VLMs) use images and text to plan robot actions, but they still struggle to decide what actions to take and where to take them. Most systems split these decisions into two steps: a VLM generates a plan in natural language, and a separate model translates it into executable actions. This approach often breaks The post GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation appeared first on Microsoft Research.

by Google DeepMind News on March 26, 2026

Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.

by Google DeepMind News on March 25, 2026

Google DeepMind researches AI's harmful manipulation risks across areas like finance and health, leading to new safety measures.

by Google DeepMind News on March 25, 2026

Introducing Lyria 3 Pro, which unlocks longer tracks with structural awareness. We’re also bringing Lyria to more Google products and surfaces.

by Google DeepMind News on March 17, 2026

We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.

by Google DeepMind News on March 9, 2026

Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.

by Google DeepMind News on March 3, 2026

Gemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.

by Google DeepMind News on February 26, 2026

Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.

by Google DeepMind News on February 19, 2026

3.1 Pro is designed for tasks where a simple answer isn’t enough.

by Google DeepMind News on February 18, 2026

The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.

by Google DeepMind News on February 17, 2026

Google DeepMind brings National Partnerships for AI initiative to India, scaling AI for science and education

by Google DeepMind News on February 12, 2026

Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.

by Google DeepMind News on February 9, 2026

Research papers point to the growing impact of Deep Think across fields

by Google DeepMind News on January 29, 2026

Google AI Ultra subscribers in the U.S. can try out Project Genie, an experimental research prototype that lets you create and explore worlds.

by Google DeepMind News on January 16, 2026

D4RT: Unified, efficient 4D reconstruction and tracking up to 300x faster than prior methods.

by Google DeepMind News on January 13, 2026

Our latest Veo update generates lively, dynamic clips that feel natural and engaging — and supports vertical video generation.

by Google DeepMind News on December 23, 2025

Google 2025 recap: Research breakthroughs of the year

by Google DeepMind News on December 17, 2025

Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.

by Google DeepMind News on December 16, 2025

Open interpretability tools for language models are now available across the entire Gemma 3 family with the release of Gemma Scope 2.

by Google DeepMind News on December 12, 2025

by Google DeepMind News on December 11, 2025

Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research

by Google DeepMind News on December 10, 2025

Deepening our partnership with the UK government to support prosperity and security in the AI era

by Google DeepMind News on December 9, 2025

Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.

by Google DeepMind News on December 4, 2025

Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.

by Google DeepMind News on November 25, 2025

Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.

by Google DeepMind News on November 25, 2025

AlphaFold has revealed the structure of a key protein behind heart disease

by Google DeepMind News on November 24, 2025

Google DeepMind and the DOE partner on Genesis, a new effort to accelerate science with AI.

by Google DeepMind News on November 20, 2025

by Google DeepMind News on November 20, 2025

by Google DeepMind News on November 20, 2025

by Google DeepMind News on November 18, 2025

by Google DeepMind News on November 18, 2025

Google DeepMind opens a new Singapore research lab, accelerating AI progress in the Asia-Pacific region.

by Google DeepMind News on November 18, 2025

by Google DeepMind News on November 18, 2025

by Google DeepMind News on November 17, 2025

The new AI model delivers more efficient, more accurate and higher-resolution global weather predictions.

by Google DeepMind News on November 13, 2025

Introducing SIMA 2, a Gemini-powered AI agent that can think, understand, and take actions in interactive environments.

by Google DeepMind News on November 11, 2025

Our new paper analyzes the important ways AI systems organize the visual world differently from humans.

by Google DeepMind News on November 10, 2025

A six-month long pilot program with the Northern Ireland Education Authority’s C2k initiative found that integrating Gemini and other generative AI tools saved participating teachers an average of 10 hours per week.

by Google DeepMind News on November 5, 2025

AI models can help map species, protect forests and listen to birds around the world

by Google DeepMind News on October 29, 2025

The initiative brings together some of the world's most prestigious research institutions to pioneer the use of AI in mathematical research.

by Google DeepMind News on October 25, 2025

Introducing T5Gemma, a new collection of encoder-decoder LLMs.

by Google DeepMind News on October 25, 2025

We’re announcing new multimodal models in the MedGemma collection, our most capable open models for health AI development.

by Google DeepMind News on October 25, 2025

Gemma 3n is designed for the developer community that helped shape Gemma.

by Google DeepMind News on October 25, 2025

Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality.

by Google DeepMind News on October 25, 2025

We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 people to make a film using Veo and live-action filmmaking.

by Google DeepMind News on October 24, 2025

New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring

by Google DeepMind News on October 24, 2025

New experimental AI tool helps people explore the context and origin of images seen online.

by Google DeepMind News on October 24, 2025

The International Mathematical Olympiad (“IMO”) is the world’s most prestigious competition for young mathematicians, and has been held annually since 1959. Each country taking part is represented by six elite, pre-university mathematicians who compete to solve six exceptionally difficult problems in algebra, combinatorics, geometry, and number theory.

by Google DeepMind News on October 24, 2025

Introducing the first model for contextualizing ancient inscriptions, designed to help historians better interpret, attribute and restore fragmentary texts.

by Google DeepMind News on October 24, 2025

Genie 3 can generate dynamic worlds that you can navigate in real time at 24 frames per second, retaining consistency for a few minutes at a resolution of 720p.

by Google DeepMind News on October 24, 2025

Our new Perch model helps conservationists analyze audio faster to protect endangered species, from Hawaiian honeycreepers to coral reefs.

by Google DeepMind News on October 24, 2025

Using AI to perceive the universe in greater depth

by Google DeepMind News on October 24, 2025

Gemini 2.5 Deep Think achieves breakthrough performance at the world’s most prestigious computer programming competition, demonstrating a profound leap in abstract problem solving.

by Google DeepMind News on October 24, 2025

Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering.

by Google DeepMind News on October 23, 2025

We’re strengthening the Frontier Safety Framework (FSF) to help identify and mitigate severe risks from advanced AI models.

by Google DeepMind News on October 23, 2025

We’re powering an era of physical agents — enabling robots to perceive, plan, think, use tools and act to better solve complex, multi-step tasks.

by Google DeepMind News on October 23, 2025

Using advanced AI to fix critical software vulnerabilities

by Google DeepMind News on October 23, 2025

We’re partnering with Commonwealth Fusion Systems (CFS) to bring clean, safe, limitless fusion energy closer to reality.

by Google DeepMind News on October 23, 2025

We're rolling out Deep Think in the Gemini app for Google AI Ultra subscribers, and we're giving select mathematicians access to the full version of the Gemini 2.5 Deep Think model entered into the IMO competition.

by Google DeepMind News on October 23, 2025

Game Arena is a new, open-source platform for rigorous evaluation of AI models. It allows for head-to-head comparison of frontier systems in environments with clear winning conditions.

by Google DeepMind News on October 23, 2025

Today, we're adding a new, highly specialized tool to the Gemma 3 toolkit: Gemma 3 270M, a compact, 270-million parameter model.

by Google DeepMind News on October 23, 2025

Transform images in amazing new ways with updated native image editing in the Gemini app.

by Google DeepMind News on October 23, 2025

We introduce VaultGemma, the most capable model trained from scratch with differential privacy.

by Google DeepMind News on October 23, 2025

Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.

by Google DeepMind News on October 23, 2025

We’re rolling out significant updates to Veo that give people even more creative control.

by Google DeepMind News on October 23, 2025

We’re launching a new 27 billion parameter foundation model for single-cell analysis built on the Gemma family of open models.

by Google DeepMind News on June 25, 2025

Introducing a new, unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function — now available via API.

by Google DeepMind News on June 24, 2025

We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.

by Google DeepMind News on June 17, 2025

Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.

by Google DeepMind News on June 17, 2025

Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available, and the new Flash-Lite in preview.

by Google DeepMind News on June 12, 2025

We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings this cyclone season.

by Google DeepMind News on June 3, 2025

Gemini 2.5 has new capabilities in AI-powered audio dialog and generation.

by Google DeepMind News on May 20, 2025

Gemini 2.5 Pro continues to be loved by developers as the best model for coding, and 2.5 Flash is getting even better with a new update. We’re bringing new capabilities to our models, including Deep Think, an experimental enhanced reasoning mode for 2.5 Pro.

by Google DeepMind News on May 20, 2025

Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow.

by Google DeepMind News on May 20, 2025

Learn about the new SynthID Detector portal we announced at I/O to help people understand how the content they see online was generated.

by Google DeepMind News on May 20, 2025

We’ve made Gemini 2.5 our most secure model family to date.

by Google DeepMind News on May 20, 2025

We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of the world.

by Google DeepMind News on May 20, 2025

Gemma 3n is a cutting-edge open model designed for fast, multimodal AI on devices, featuring optimized performance, unique flexibility with a 2-in-1 model, and expanded multimodal understanding with audio, empowering developers to build live, interactive applications and sophisticated audio-centric experiences.

by Google DeepMind News on May 14, 2025

New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators

by Google DeepMind News on May 6, 2025

We’ve seen developers doing amazing things with Gemini 2.5 Pro, so we decided to release an updated version a couple of weeks early to get into developers hands sooner.

by Google DeepMind News on May 6, 2025

Our updated version of Gemini 2.5 Pro Preview has improved capabilities for coding.

by Google DeepMind News on April 24, 2025

Helping music professionals explore the potential of generative AI

by Google DeepMind News on April 17, 2025

Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers the ability to turn thinking on or off.

by Google DeepMind News on April 15, 2025

Transform text-based prompts into high-resolution eight-second videos in Gemini Advanced and use Whisk Animate to turn images into eight-second animated clips.

by Google DeepMind News on April 14, 2025

DolphinGemma, a large language model developed by Google, is helping scientists study how dolphins communicate — and hopefully find out what they're saying, too.

by Google DeepMind News on April 2, 2025

We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.

by Google DeepMind News on April 2, 2025

Our framework enables cybersecurity experts to identify which defenses are necessary—and how to prioritize them

by Google DeepMind News on March 25, 2025

Gemini 2.5 is our most intelligent AI model, now with thinking built in.

by Google DeepMind News on March 12, 2025

Introducing Gemini Robotics and Gemini Robotics-ER, AI models designed for robots to understand, act and react to the physical world.

by Google DeepMind News on March 12, 2025

Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.

by Google DeepMind News on March 12, 2025

The most capable model you can run on a single GPU or TPU.

by Google DeepMind News on February 25, 2025

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

by Google DeepMind News on February 5, 2025

We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.

by Meta Research on May 17, 2023

Our research study, in collaboration with CrowdDNA, aims to understand people's relationship with social media ads across different social media platforms.

by Meta Research on April 17, 2023

Meta set a goal to reach net zero emissions by 2030. We are developing technology to mitigate our carbon footprint and making these openly available.

by Meta Research on April 14, 2023

by Meta Research on April 13, 2023

by Meta Research on April 12, 2023

by Meta Research on April 6, 2023

by Meta Research on April 5, 2023

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by Meta Research on April 5, 2023

by Meta Research on March 27, 2023

In September, Meta launched the Foundational Integrity Research request for proposals. Today, we announce the winners of this award.

by Meta Research on March 24, 2023