What's new this week?
NVIDIA GTC. AI-driven meldR platform. Isomorphic Labs and AI-powered drug discovery. AI skin cancer diagnosis. EU regulations for AI. Algorithms predicting stress at atomic scale.
- GTC Wrap-Up: Jensen Huang outlines NVIDIA's vision for accelerated computing, data center architecture, AI, robotics, omniverse avatars, and digital twins. Find more news here.
- Data Society launches meldR, a learning experience and communication platform, to enable healthcare and life sciences companies to deliver AI/ML data science learning pathways.
- Demis Hassabis, Founder and CEO of DeepMind, announces the creation of Isomorphic Labs, to reimagine drug discovery from first principles with an AI-first approach.
- AI systems being developed to diagnose skin cancer run the risk of being less accurate for people with dark skin, according to Oxford research.
- The EU faces a great challenge with AI regulation. The technology promises too many benefits, yet it faces the risk of overregulation that could prevent its development.
- Aerospace engineers Yue Cui and Huck Beng Chew at the University of Illinois Urbana-Champaign use machine learning to predict stress in copper at the atomic scale.
- Landing AI, led by artificial intelligence visionary, Andrew Ng, raises $57M in Series A funding led by McRock Capital.
- H2O.ai raises $100M in Series E funding, a round of funding that values H2O.ai at $1.7 billion post-money ($1.6 billion pre-money).
- Sama, the first end-to-end AI platform that enables teams to manage the complete AI lifecycle, raises $70M in Series B funding led by Caisse de dépôt et placement du Québec (CDPQ).
- WhyLabs, the provider of observability for AI and data applications, raises $10M million in Series A co-led by Defy Partners and Andrew Ng’s AI Fund.
- Kodiak Robotics, a startup developing self-driving truck technologies, raises $125M in an oversubscribed series B round for a total of $165M to date.
MLOps and DevOps: Why Data Makes It Different
In this article, the O'Reilly team digs into the fundamentals of machine learning as an engineering discipline to answer key questions about MLOps, DevOps, and their evolution through data.
Detect Industrial Defects at Low Latency with Computer Vision at the Edge with Amazon SageMaker Edge
Learn how to create the cloud to edge solution with Amazon SageMaker to detect defective parts from a real-time stream of images sent to an edge device. A demo included.
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