Drug development is among the slowest, most failure-prone processes in modern science, with about 90% of drug candidates never reaching the market. Today, artificial intelligence methods have ...

As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are ...

Amap, the mapping and location-services arm of Alibaba, has released a full-stack upgrade to ABot, the embodied-AI system it ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been deployed and tested in operational use at the National Meteorological Center ...

Bitcoin (BTC) has gone up 4.5% over the past week as renewed institutional demand helped stabilize prices. At the same time, derivatives data indicate a cooling in forced selling activity. Notably, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...