The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Researchers developed an AI solution to discover undiagnosed Alzheimer's disease, addressing disparities in healthcare access ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Amar Subramanya, former Google Gemini and Microsoft AI leader, has been appointed VP of AI at Apple to oversee Apple Intelligence and Foundation Models, bolstering Apple’s AI strategy.