Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
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Learning from the global AI race: Why we must lead on AI governance in Africa
By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.
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