Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired ...

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

Although film and television are often seen as creative and open-ended industries, they have long been risk-averse. High ...

(2018) [23] applied machine learning techniques like Linear Regression ... This aligns with our approach in Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection, ...

Researchers in Singapore and the US have independently developed two new types of photonic computer chips that match existing ...

MIT CSAIL researchers have introduced linear oscillatory state-space models (LinOSS), inspired by neural oscillations in the ...

Advancements in AI and software are enabling more autonomous drone operations, leading to collaborative UAS capabilities, ...

This course gives a basic introduction to machine ... covers supervised classification based on e.g., artificial neural networks (deep learning), as well as unsupervised learning (clustering), ...

Harvard professor Roland Fryer says algorithms could solve the problem of deciding who to admit to universities "far better ...