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 ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
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 ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
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 ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
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