Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers
Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance (AEMA) to encourage data centres to dynamically adjust electricity use to grid conditions.
Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance (AEMA) to encourage data centres to dynamically adjust electricity use to grid conditions.
Mistral announced a partnership with Mozilla. Firefox's AI browsing assistant Smart Window (beta) is now powered by Mistral models, initially for France and North America, with the UK and Germany expected later this year.
A University of Manchester team used NVIDIA Earth-2's generative Earth-2 CorrDiff model and one year of hourly UK pollution data to train a nationwide air-pollution model at 2–3-square-kilometre resolution, completing training in two days on one eight-GPU Isambard-AI node.
Good Start Labs turned railway board game 1830 into a training environment and tested a 30B model. Both single-turn Q&A and multi-turn terminal-agent training improved game performance, but only the terminal-agent design improved Finance-Agent benchmark results.
AI Evaluator Forum released AEF-1 as a baseline proposal for independent third-party AI evaluation, covering access, conflicts of interest, funding relationships, recusal and transparency, with xAI, OpenAI and Anthropic signing.
Mistral and Cloudera partnered to integrate Mistral models into Cloudera's hybrid data platform. Enterprises can run inference in private or public clouds, on-premises and fully air-gapped environments with full control. They can train custom models on proprietary data in controlled environments while retaining ownership of data and resulting intelligence. Cloudera runs 30 exabytes of customer-managed data.
OpenAI partnered with the US General Services Administration (GSA) to offer eligible federal, state, local and tribal governments $0 licence fees, a 50% usage discount and expanded cyber-defence support.
Paul Christiano joined the OpenAI Foundation board and its Safety and Security Committee, bringing experience in AI alignment, safety and standards.
Mistral announced a €3 billion Series D round at a post-money valuation exceeding €21 billion, led by Samsung Electronics and co-led by Scaleup Europe Fund and PSG Equity. It called this the largest equity financing by a European technology company, funding frontier research, computing, infrastructure and commercial growth. Mistral operates in 20 countries and serves more than 125 global enterprises, including Airbus, ASML and HSBC.
OpenAI expanded journalism support with tools, training and partnerships for students, educators, journalists and news organisations, covering activities from classrooms to newsrooms.
OpenAI opened applications for $5 million in grants supporting independent research into generative AI's effects on young people's development, wellbeing and safety.
OpenAI, AIRPPU and WAN-IFRA launched an AI project to strengthen innovation, resilience and independent journalism in Ukrainian news organisations. The original article did not disclose specific tools, scale or availability details.
Google DeepMind announced the world’s first double-blind evaluation of proprietary frontier AI models, restricting external evaluations to cryptographically isolated environments to prevent models seeing test questions in advance. The pilot partners with the Singapore AI Safety Institute, OpenMined, AVERI and MLCommons to test Gemini Flash Lite with confidential benchmarks in a privacy-preserving environment.
Mistral and HUMAIN announced a strategic partnership covering infrastructure, advanced models and deployment, initially focusing on cybersecurity and voice, with frontier models strong in Arabic planned. Worth hundreds of millions of euros, it includes exploring HUMAIN data centres and joint market strategies for regulated Saudi industries.
Google DeepMind partnered with Fenris Creations to explore AI-driven gameplay prototypes in the EVE Universe, home to EVE Online.
Hugging Face ran the ICML 2026 Open Reproduction Challenge from 15 July to 2 August. Using coding agents such as Claude Code, Codex and Cursor, 1,221 community members reproduced papers and published 6,816 Trackio logs covering 2,226 papers, around a third of the conference total.
At DOE Genesis Mission Summit 2026, Google announced $40 million in AI tokens and cloud credits to support Genesis Mission researchers.
Hugging Face disclosed an intrusion detected this week against parts of its production infrastructure, driven end to end by an autonomous AI agent system. Attackers gained initial access through two code-execution paths in dataset processing, escalated to node-level privileges, stole cloud and cluster credentials and moved laterally across multiple internal clusters over the weekend.
Google DeepMind and A24 announced their first research-focused partnership, with long-term R&D across multiple projects and artists helping shape technologies and workflows. Google also invested in A24. Initial work will bridge frontier technology and next-generation entertainment, with specific goals and technical outputs evolving over time.
Berkeley Artificial Intelligence Research (BAIR) announced its 2026 PhD graduates, whose work covers robotics, LLM reasoning, computer vision, generative models, AI safety and AI for Science. Destinations include OpenAI, Mistral AI, Physical Intelligence and Amazon, faculty positions at UCLA and the University of Chicago, and start-ups.
Google DeepMind announced work with the UK government, Google Cloud, Faculty and planning departments in Barnet, Camden and Dorset on an AI planning-approval prototype, aiming to help officers reduce householder application processing time by 50%.
The UK AISI alignment team and Timaeus co-founded nonprofit Sequent, arguing alignment research is unprepared for superintelligence. It plans 40–80 full-time staff within two to three years and initial fundraising of $100–150 million.
With Google's support, UC San Diego plans a data centre using motherboards from 2,000 retired Pixel phones to provide low-cost, low-carbon cloud computing for hundreds of students and faculty. SPEC benchmarks show 25–50 phones roughly equal one modern server. Phones form Kubernetes-managed clusters of 25–50 devices, with launch expected in autumn 2026.
Google DeepMind, Schmidt Sciences, Cooperative AI Foundation and ARIA, supported by Google.org, launched up to $10 million in global technical research funding focused on collective behaviour and safety risks in large-scale multi-agent AI systems.
Google DeepMind launched a three-month Robotics accelerator for 15 early-stage European robotics start-ups, providing technical guidance and access to its AI stack and Gemini robotics models. Covering logistics, manufacturing, healthcare, climate and navigation, it starts in London this week.
Import AI 459 focuses on three studies: a UK AI Safety Institute paper says automated alignment research using AI to supervise AI training is not a universal solution and is harder to implement than expected; other work covers scaling laws for protein-folding models and pricing AI-system extinction risks.
Mistral acquired Emmi AI and doubled down on fundamental Physics AI research for aerospace, automotive, semiconductor and energy industries. Results include AB-UPT handling 9 million surface and 140 million volume elements on one GPU, and around 30,000 CFD simulations of transonic flow around 3D wings.
Mistral AI signed a definitive agreement this week to acquire Physics AI pioneer Emmi AI, strengthening its AI transformation services for industrial companies. Founded in Austria, Emmi AI has over 30 researchers and engineers focusing on large engineering models that replace days of computation with real-time simulation and build digital twins. Its co-founders and team will join Mistral's Science and Applied AI teams in May.
Google DeepMind launched its first Asia-Pacific accelerator, focused on AI for the Planet, for regional start-ups, research teams and non-profits over three months. Selected organisations receive expert guidance and tailored support, drawing on frontier and scientific AI models from Google AI experts to address nature, climate, agriculture and energy challenges. It begins with an in-person bootcamp in Singapore, with expressions of interest now open.
Google DeepMind and Singapore's government formed a national AI partnership with new projects in healthcare, research, education and climate. It explores an AI-assisted triadic-care model, uses AlphaFold and Google Earth for Southeast Asian infectious-disease research and develops a Gemma-based running assistant to help visually impaired athletes train independently.
Google DeepMind published a year’s progress for AlphaEvolve. The Gemini-powered coding agent has expanded from open problems in mathematics and computer science into genomics, power grids, quantum physics and AI infrastructure.
Google Research said its open-source tools and datasets have enabled over 250,000 researchers and developers worldwide. Genomics tools DeepVariant, DeepConsensus and DeepPolisher have supported processing exomes and whole genomes from 2.5 million people; MedGemma has over 4.8 million downloads. Open Health Stack is deployed in more than ten countries, reaching over 65 million beneficiaries.
Google DeepMind partnered with South Korea's Ministry of Science and ICT (MSIT) to establish an AI Campus in Seoul and open models including AlphaEvolve, AlphaGenome, AlphaFold, AI co-scientist and WeatherNext to Korean academia.
Google DeepMind announced partnerships with Accenture, Bain & Company, BCG, Deloitte and McKinsey to scale frontier AI in enterprises. Partners get early access to models including Gemini and develop industry-specific solutions for finance, manufacturing, retail and media and entertainment. Currently only 25% of organisations have scaled AI into production.
Google Research announced healthcare AI advances at The Check Up, including its Personal Health Agent (PHA) research with Fitbit, which found it supported long-term health better than single-task apps.
Mistral AI joined NVIDIA Nemotron Coalition as a founding member. They plan to jointly develop frontier open AI models, with Mistral contributing architecture, multimodal capabilities and fine-tuning tools, and NVIDIA providing compute, model development tools and synthetic data pipelines.
Mistral AI announced a multi-year SAP partnership to integrate its models into AI Foundation and jointly develop tailored solutions for complex European industries and the public sector. It will also accelerate vision-language-action model research with Helsing for defence and security, open a German office in the coming months and significantly expand its local team.
Mistral AI announced a €1.7 billion Series C at a €11.7 billion post-money valuation, led by semiconductor equipment maker ASML. Existing investors including DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed and NVIDIA participated.
Mistral AI, Carbone 4 and France's ADEME completed the first full-lifecycle AI model analysis. By January 2025, Large 2 training and 18 months of use produced 20.4 ktCO₂e, consumed 281,000 cubic metres of water and 660 kg Sb eq of resources.
Mistral AI launched AI for Citizens, helping governments and public institutions strategically apply AI to transform public services, innovate and safeguard competitiveness. It offers open-source models, self-hosting, data sovereignty and tailored R&D, with government and public-sector partners in France, Luxembourg, Singapore, the Netherlands, the UK and Switzerland.