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All news · Today13 items

#Industry news

All collected and published items, ordered by time. Picks are a selected subset.
6/1Mon
  1. Import AI26

    Import AI 459: why AI regulation is hard, scaling laws for protein-folding models, and pricing extinction risk from AI systems

    Import AI 459 discusses the difficulty of AI regulation, scaling laws for protein-folding models, and how to price extinction risks from AI systems. Economists at the University of Virginia, Anthropic, and the Bank of Canada estimate that nominal U.S. AI GDP was about $250 billion in 2025, with quality-adjusted real annual growth of about 2,600%. U.S. AI compute spending rose from $37 billion in 2023 to $219 billion in 2025, while compute capacity grew by more than 200% annually.

5/29Fri
5/27Wed
  1. Mistral AI38

    After acquiring Emmi AI, Mistral advances physical-AI research with industrial-simulation results

    After acquiring Emmi AI, Mistral is building foundational physical AI for aerospace, automotive, semiconductors, and energy. Its announced results include AB-UPT, which processes raw geometry with 9M surfaces and 140M volume cells on a single GPU without remeshing, and NeuralDEM, an end-to-end deep-learning surrogate for large multiphysics processes.

5/23Sat
  1. Mistral AI58

    Mistral acquires physics-AI company Emmi AI

    Mistral AI has signed a definitive agreement to acquire Emmi AI, a physics-AI company, to strengthen AI-transformation services for industrial enterprises. Headquartered in Austria, Emmi AI specializes in physical AI and large engineering models that can replace multi-day computations with real-time simulations and build digital twins. Its co-founders and more than 30 researchers and engineers will join Mistral's Science and Applied AI teams in May.

5/22Fri
  1. Google DeepMind20

    Google DeepMind launches Asia-Pacific 'AI for the Planet' accelerator to address environmental risks

    Google DeepMind has launched its first Asia-Pacific accelerator, focused on “AI for the Planet,” for startups, research teams, and nonprofits in the region. The three-month program provides expert guidance and help from Google AI specialists to integrate frontier and AI-for-science models into projects and products in nature, climate, agriculture, energy, and other fields. It begins with an in-person boot camp in Singapore; expressions of interest are now open.

5/20Wed
5/16Sat
  1. Google DeepMind22

    Google DeepMind and Singapore announce national AI partnership across healthcare, education, and climate

    Google DeepMind and the Singapore government have announced a national AI partnership with new projects in healthcare, research, education, and climate. The work explores a “triple-care” model for AI-assisted clinical care and uses tools including AlphaFold and Google Earth to advance infectious-disease research and epidemic preparedness in Southeast Asia. Gemini for Education will be available to educators from primary through junior college, and an Asia-Pacific “AI for the Planet” accelerator is also launching.

5/9Sat
5/2Sat
  2. Google Research22

    How Google Research advances science through global collaboration and open resources

    Google Research says its open-source tools and datasets have enabled more than 250,000 researchers and developers worldwide across fields including genomics, neuroscience, and Earth modeling. Tools such as DeepVariant have supported analysis of whole-genome and exome data from 2.5 million people, while the HAI-DEF model suite, including MedGemma, has been downloaded more than 4.8 million times.

4/27Mon
4/21Tue
  1. Google DeepMind22

    Google DeepMind partners with Accenture, Bain, BCG, Deloitte, and McKinsey to accelerate enterprise AI transformation

    Google DeepMind has announced partnerships with Accenture, Bain & Company, BCG, Deloitte, and McKinsey to scale frontier-AI deployment in businesses. Partners will receive early access to frontier models including Gemini and direct access to Google DeepMind's technical teams, with work focused on agentic transformation in finance, manufacturing, retail, media, entertainment, and other sectors. Only 25% of organizations have successfully scaled AI into production so far.

3/18Wed
3/17Tue
  1. Mistral AI63

    Mistral partners with NVIDIA to accelerate open frontier models

    Mistral AI joined the NVIDIA Nemotron Coalition as a founding member and plans to co-develop frontier open-source AI models with NVIDIA. Mistral will contribute model architectures, training techniques, multimodal capabilities, and fine-tuning tools, alongside NVIDIA’s compute and development resources. The coalition’s first initiative is a base model trained on NVIDIA DGX Cloud that will underpin the upcoming NVIDIA Nemotron 4 family and be open-sourced for post-training and specialization.

    Why it matters: The coalition’s planned shared base model would give developers a common starting point for post-training and specialization, connecting the partnership to a concrete model-development workflow.

11/19Wed
  1. Mistral AI53

    Mistral AI expands German commitments through SAP and Helsing partnerships

    Mistral AI announced strategic commitments in Germany, including a multiyear partnership with SAP to deliver a fully sovereign AI stack for Germany and Europe, integrate its models into SAP’s AI Foundation, and co-develop industry-specific solutions. With Helsing, it is accelerating vision-language-action model development for defense and security applications. Mistral AI also plans to significantly expand its local team and open an office in Germany in the coming months.

9/9Tue
  1. Mistral AI59

    Mistral AI raises 1.7B€ in Series C funding led by ASML

    Mistral AI announced a 1.7B€ Series C funding round at an 11.7B€ post-money valuation, led by ASML with participation from existing investors. The funding will support scientific research and custom decentralized frontier AI solutions for engineering and industrial problems. ASML said the strategic partnership aims to benefit its customers through AI-enabled products and solutions, with potential for joint research.

7/23Wed
  1. Mistral AI38

    Mistral AI publishes first full-lifecycle environmental-impact study of an AI model, informing global standards

    Mistral AI, Carbone 4, and the French Agency for Ecological Transition (ADEME) completed the first full lifecycle analysis of an AI model and disclosed the environmental footprint of Mistral Large 2: by January 2025, after 18 months of use, it had produced 20.4 ktCO₂e, consumed 281,000 m³ of water, and used 660 kg Sb eq.

7/3Thu
  1. Mistral AI42

    Mistral AI launches AI for Citizens to help governments shape their AI futures

    Mistral AI has launched AI for Citizens, a collaboration program helping governments and public institutions use AI strategically to transform public services, drive innovation, and maintain competitiveness. The program is active in France, Luxembourg, Singapore, the Netherlands, the UK, Switzerland, and other countries. Options include self-hosted deployment, data sovereignty, customized R&D, and joint model training as alternatives to the closed, one-size-fits-all AI offerings that dominate the market.