Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Welcome! Bittensor is an open source platform on which you can produce competitive digital commodities. These digital commodities can be machine intelligence, storage space, compute power, protein ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

Prediction-market platform Kalshi recently unveiled a swath of “market integrity” updates that all relate to one thing: stopping illegal trading by insiders. The updates include things like risk ...

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

Accurately identifying small molecule binding sites on proteins is fundamental to understanding protein function and enabling structure-based drug discovery, yet this critical step remains a major ...

Los Angeles FC among top contenders to prevent Inter Miami title repeat. LAFC's Son Heung-Min, along with Lionel Messi, are favorites to win MLS MVP. Inter Miami newcomer German Berterame could be ...

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 ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

In recent years, machine learning has been successfully applied to complex and nonlinear dynamical systems for improved prediction of the future state, but ecological systems represent a great ...

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...