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
RESEARCH
-
Technical Book Recommendation on Transfer Learning for Machine Learning
By
–
-
Demis Hassabis raises $2.1B for AI-driven Isomorphic Labs
By
–
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
-
Technical Analysis of Self-Distilled Agentic Reinforcement Learning
By
–
“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
-
AI Content Volume and Growth on AlignedNews.com
By
–
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
By
–
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
By
–
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
By
–
🚨 @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…
-
Researchers Introduce CHAI for Precise AI Video Captioning
By
–
What if AI could caption videos with the precision of a professional filmmaker? Researchers from Carnegie Mellon University and Harvard University introduce CHAI just for that. They built a structured video language using hundreds of visual primitives defined with filmmakers.
-
Anthropic’s Latest AI Research Shifts Toward National Security and Geopolitics
By
–
Anthropic just published a 2028 AI paper that reads more like a Pentagon briefing than safety research. Compute gaps. Chip smuggling. Distillation attacks framed as industrial espionage. The biggest AI lab in the world just became a political actor.