Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...

A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Researchers at the Korea Advanced Institute of Science and Technology have developed a brain-inspired warmup training method that helps AI models better align their confidence with prediction accuracy ...

Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

Prediction markets also face a structural issue at long horizons. Studies show that prices for distant events often drift ...