Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
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 intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...
Opinion
The Zimbabwe Independent on MSNOpinion

AI vs SI: The future of machine cognition

Since artificial intelligence (AI) became mainstream, many have viewed it as the future, with some predicting it will replace humans in various domains. SINCE artificial intelligence (AI) became ...
The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
Since then, Burry’s name has become shorthand for market realism. He warned that passive index funds had created a “bubble bigger than housing,” sounded alarms about pandemic-era money printing, and ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
As appraisal and lending fraud grows more sophisticated, lenders must pair AI safeguards with on-the-ground verification and ...
Artificial intelligence is transforming daily workflows everywhere. Discover how new AI tools are automating tasks, boosting ...
In an era where visual content dominates digital interaction—whether through security cameras, social media clips, or live ...
Making complex data volumes clear, accessible, and interpretable at record speed is the key that successful companies in the ...