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

Distance is possible, and often desirable, but nothing is ever exactly the same in a prepared course. The real thing comes ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is ...

DeepSeek-R1's release last Monday has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. Matching OpenAI’s o1 at just 3%-5% ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...