The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...

The company is being misunderstood as a secular growth story rather than a cyclical commodity producer. Even though the ...

Nvidia (NASDAQ:NVDA | NVDA Price Prediction) remains the undisputed heavyweight champ of AI chips, and CEO Jensen Huang seems to be ready to keep rising above the competition. It’s hard to tell just ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models like DeepSeek and GLM. The training-free technique cuts 75% of indexer ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Abstract: Large language models (LLMs) are currently at the forefront of the machine learning field, showing broad application prospects but at the same time presenting certain risks of privacy ...

In this issue of PNAS, Gao et al. (1) probe the limits of Bayesian phylodynamic inference, a statistical framework that has revolutionized the study of pathogen evolution and epidemic spread. By ...

One of the long-term goals of artificial intelligence (AI) is to build machines that can continually learn new knowledge from their experiences, ground these experiences in the physical world, and ...