Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

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 ...

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

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.

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...

The appellate authority held that interactive flat panel displays are primarily large display devices. Despite embedded ...

Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...

PropellerAds delivers billions of impressions across more than 195 countries, which exposes the network to significant ...