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 ...

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

A new global study shows that increasing soil salinity is systematically reshaping the storage and distribution of soil inorganic carbon (SIC), a key but often-overlooked part of terrestrial ...

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 ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

SHARJAH, 22nd January, 2026 (WAM) -- A delegation from the Sharjah Consultative Council (SCC) visited the Federal National ...

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

How Can Businesses Ensure the Security of Non-Human Identities? When was the last time your company evaluated the security of its machine identities? With the increasing reliance on Non-Human ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...