AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Automation performance depends on signal quality. Learn how Google Ads prioritizes signals, how pollution starts, and how to ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Recently, the UK’s tax and accounting professional bodies published updated guidance on the ethical use of AI in tax work, aligned to the Professional ...

The final, formatted version of the article will be published soon. Background: Viral Respiratory Tract Infections (VRTIs) are a major public health threat. Early detection and preventive measures are ...

Performing moderate-to-vigorous aerobic exercise for 12 months can reduce a brain-age biomarker, brain-predicted age difference (brain-PAD), in early- to midlife adults, as reported in a new study ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...