The authors developed a text mining algorithm to detect disease progression in electronic health data—this is in itself very useful; the authors went one step further and demonstrated that the ...

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden structures ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

SHENZHEN,China, July 7, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a Grover-based quantum algorithm designed to find pure ...

While the benefits of AI are clear, the amount data sets needed for effective AI integration is proving to be a challenge.

The algorithm will be added to Roche's navify library of clinical decision-making algorithms and other digital health ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning ...

An enduring problem with today’s generative artificial intelligence (AI) tools, like ChatGPT, is that they often confidently assert false information. Computer scientists call this behavior ...

It could make working conditions more bearable—or it could just put people out of work. This story is from The Algorithm, our weekly newsletter on AI. To get it in your inbox first, sign up here.

On this Smart Start Monday, we’re focusing on higher education. Ray Basaldua returned to share more about the ERC Development ...