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

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

Advances in application technology and innovative techniques within the agricultural industry have revolutionized the ...

To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...

Powered Cybersecurity Operations What is the role of Non-Human Identities (NHIs) in achieving seamless security for your ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

DMHTs sit within a broader wave of digital health technologies, helping manage a range of issues such as asthma with smart ...

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...

Researchers have identified cancer-specific RNAs and employed machine learning models to use them as a blood-based biomarker ...

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...