Want to generate interactive 3D scenes from just a text description? NVIDIA Research and Purdue University present Scenethesis. It combines an LLM for rough scene layout with a vision module that refines object placement using image guidance, plus optimization to prevent
RESEARCH
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AI and Machine Learning for Spatial Omics Data Analysis
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Spatial Multi Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self-Supervised Graph Learning! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless
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Technical Book Recommendation on Transfer Learning for Machine Learning
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TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Demis Hassabis raises $2.1B for AI-driven Isomorphic Labs
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Massive news from AI and biotech:
— Linus ✦ Ekenstam (@LinusEkenstam) 15 mai 2026
Google DeepMind co-founder Demis Hassabis has just raised $2.1 billion for Isomorphic Labs.
For years, Hassabis and his team have been building powerful AI that can predict protein structures, design brand new molecules, and dramatically speed… https://t.co/G6X3m7Su3b pic.twitter.com/v6XIRVC2ZrMassive news from AI and biotech: Google DeepMind co-founder Demis Hassabis has just raised $2.1 billion for Isomorphic Labs. For years, Hassabis and his team have been building powerful AI that can predict protein structures, design brand new molecules, and dramatically speed
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Technical Analysis of Self-Distilled Agentic Reinforcement Learning
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“Self-Distilled Agentic RL” Agent RL learns from sparse trajectory rewards, while self-distillation gives dense token guidance. But in multi-turn agents, naive distillation can break because privileged teacher signals get noisy as trajectories drift. The key idea of this paper
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AI Content Volume and Growth on AlignedNews.com
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Not in my experience. My algos go through 40,000 every day from just the AI community here to build this: https://
alignednews.com/ai The more people say it is dying the busier it gets. -
Frontier AI Models Push Limits in Geospatial Applications
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For AI in geospatial, "there are a lot of different research areas that have to come together to build this one system. We're literally running into the limits of frontier models." — @intellgenc of @usachp in conversation with @SniffenOutAI.
— Snorkel AI (@SnorkelAI) 15 mai 2026
Full context of what he's cooking:… pic.twitter.com/uwVaCgUAe7For AI in geospatial, "there are a lot of different research areas that have to come together to build this one system. We're literally running into the limits of frontier models." — @intellgenc of @usachp in conversation with @SniffenOutAI
. Full context of what he's cooking: -
AI Agents Learn and Improve Daily, Aggregating AI News
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My agents read the entire AI community here and make this: https://
alignednews.com/ai My agents get smarter every day because of this -
New Open-Source AI Standard with Ring-2.6-1T
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🚨 @AntLingAGI HAS OFFICIALLY SET A NEW STANDARD FOR OPEN-SOURCE AI
— Charly Wargnier (@DataChaz) 15 mai 2026
They just dropped Ring-2.6-1T, a trillion-parameter model built specifically to tackle long-horizon workflows 🔥
The benchmarks show exactly why it leads the open-source space:
→ Tau2-Bench (95.32): Navigates… pic.twitter.com/H30Uyj9Ajo@AntLingAGI has officially set a new standard for open-source AI. They just released Ring-2.6-1T, a trillion-parameter model designed specifically to handle long-horizon workflows. The benchmarks demonstrate why it leads the open-source space: → Tau2-Bench (95.32): Navigates…