Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

For fans and even casual viewers tuning in to Super Bowl LX, AWS' partnership with the NFL's Next Gen Stats provides statistics for on-screen broadcasts.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

NASA's plans for Mars sample return are effectively cancelled as part of a bill approved by the U.S. Congress, ending efforts to collect Perseverance rover samples that could contain evidence of alien ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has ...