Super excited to preprint our work on developing a... Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from Microsoft Research AI for Science. #ML #AI #NeuralNetworks #Biology #AI4Scienceshow more

🔊 Exciting AI Research Opportunity! my team at Chan... Zuckerberg Biohub Network SF is hiring a Research Scientist to develop foundational AI models for BioImage analysis. Join us to work on cutting-edge ML/CV! 💻🔬🧪🧠 #AIJobs #ML Think of it as a "postdoc on steroids" in AI/ML/CV. You will have access to world-class computing: one of the largest nonprofit #AI clusters (1000x H100)! , unique datasets, and an incredibly supportive collaborative environment!show more

Struggling to keep up with the deluge of terminology... for generative AI? We're here to help. See our guide to the past, present, and future of generative AI.➡️show more

😍⚠️And it’s out in J Cell Science!! Our review... on the opportunities and challenges of using Machine Learning in Microscopy research 🤖🔬! From using ML to curate data to using ML to give us more KNOWLEDGE about our data (i.e. Interpretation 😉) DOI: (1/n) ⬇️show more

We've been defining the actual frontier of AI for... science: - created the most powerful agents and generative models of our biomolecular world - coupled with the most accurate models of state - proved again and again ability to break novel ground in drug design >>> now I'm looking for those who want to push frontier LLMs even further, in an environment where you see the impact on real science the next day 1/2show more

Today, we’re unveiling the first set of generative #AI... innovations in our ecosystem—available on our new AI Services hub—and progressing in making Upwork the preeminent destination for AI-related talent and work. 👏 Learn more about our AI offerings:show more

We are excited to announce our strategic partnership with... Fraction AI for their IIO launch. Fraction AI is the first decentralized training platform for AI agents with millions of sessions, 150,000+ agents deployed, and over $1M in rewards distributed. On our platform, thousands of AI agents compete in specialized domains and continuously improve through Reinforcement Learning. Stay tuned for upcoming surprise announcements.show more

In Episode 1 of the podcast “The AI Revolution... in Medicine, Revisited,” host Peter Lee, president of Microsoft Research, & guests Dr. Christopher A. Longhurst, MD & Dr. Sara Murray discuss how generative AI is impacting patient care & workflows in healthcare:show more

1/ We're thrilled to share our preprint on Deep3P... - a new approach that takes us on a deep dive into the world of brain tumors, using three-photon microscopy and #AI. This exciting endeavor is brought to life together with the amazing Prevedel Lab !show more

What should Our Youth learn from Western countries ?... Science, Technology, Defence, AI , Supply chain . But what are our Youth Learning from Western countries... removing panty publicly for fun .show more

Big news from Boltz - our biggest update yet!... 🚀 Today we’re releasing two new state-of-the-art models for protein and small molecule design with extensive wet lab validation and a new API to run all of our models on scalable GPUs wherever you (or your agents) work! 🔥show more

Excited to announce that Laika AI has received a... grant from Perplexity as part of their AI startup grant program! This recognition validates our mission to build the most comprehensive on-chain data layer for AI and reinforces our commitment to revolutionizing Web3 analytics. Grateful for the support!show more

Today, Nesa is excited to announce cross-chain support with... Sei. As part of this new development, Nesa will be featuring a dedicated ramp for Sei’s rich ecosystem of applications to seamlessly integrate with AI. Now any Sei dapp can run AI inference on hundreds of models supported by Nesa, including the largest LLMs and most popular models across Vision, Language, and Generative AI. For developers, we’ll have information soon on how to access AI inference on Nesa via smart contracts from the Sei blockchain. Stay tuned for more details on this ground breaking development for decentralized AI.show more

With GitHub Copilot for Azure in Visual Studio Code,... developing for Azure has never been easier! From asking questions about Microsoft Azure services to deploying solutions with Azure AI features, try it out now:show more

#USOpen or ESPN Fantasy Sports? How about both. 🎾🏈... With #watsonx, we’re developing new powerful tools to help you get the most out of your fan experience. Learn how we’re taking our generative #AI from tennis courts to the gridiron:show more

The new RUNWAY ML AI is super stable, Kling... AI is killing it too. 🤖 Let’s run a video creation competition to celebrate our record breaking NFT sale of $30k! Animate your MetaWinners NFT using AI for the chance to share $2,500. 10 winners. GO !show more

Researchers have developed a #DeepLearning system called BioEmu that... rapidly generates diverse protein conformations, enabling fast, accurate insights into protein flexibility and function. Learn more this week in Science:show more

For educators, students, and institutions who value clarity, depth,... and up-to-date science education, Smart Biology represents a research-driven path forward. Learn more at #biology #science #3D #EdTech #STEMshow more

From AI deployment to global delivery — simplify your... infrastructure with BytePlus. · Scalable compute · ECS, CDN & GPU Cloud Platform · Enterprise-ready AI Power your next stage of growth 👉 Contact our sales teamshow more

I've just noticed that Microsoft has added AI image... editing options in Windows You can remove any element from an image and the generative AI will fill in. It works natively and for free with the default Photos app:show more

OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more