Using machine learning to detect problem gambling and fraudIssued by Reinart NienaberJohannesburg, 27 Oct 2025 Betting companies train machine learning programs to monitor players’ behaviour. AI ...
The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...
The Zimbabwe Independent on MSNOpinion
AI vs SI: The future of machine cognition
The future of machine intelligence likely involves a sophisticated hybrid ecosystem where AI and SI coexist and collaborate.
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.
The field of plant science is witnessing rapid advancements, particularly through the integration of genomics with artificial intelligence (AI) and machine ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
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