Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Class Disrupted guest Irina Jurenka on large language models in education: ‘The stakes are so much higher in learning than in ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Photoshop cc tutorial showing how to create asteroids in deep space with a dust cloud trailing behind it. Marjorie Taylor Greene's pension details explained as critics pounce ‘Everybody Loves Raymond’ ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...

The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...

So, you've binged a few treasure-hunting shows and now you're wondering if your own old detector in the garage can find you a pirate chest. One of the first questions that may pop up in your head ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...