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 ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
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New protein method generates 10M data points in 3 days, boosting AI models
A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...
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 ...
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...
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 ...
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MIT tool speeds AI data center energy predictions
MIT and MIT-IBM Watson AI Lab researchers have developed EnergAIzer, a tool that predicts the energy use of AI workloads on GPUs in seconds, aiming to improve data center efficiency. The method could ...
Prediction markets also face a structural issue at long horizons. Studies show that prices for distant events often drift ...
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