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 ...

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 ...

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% ...

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

Nvidia (NVDA) announced new open models, frameworks and AI infrastructure for physical AI, and unveiled robots for every ...

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