Applied Analytics student M. Rake Lingor Anggoro discusses his research, presented to the IEEE SusTech 2025 Conference, on ...
Supervisory control and data acquisition (SCADA) evolved from a simple information aggregator to a data orchestrator ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
The deep multi-task learning AI analyses X-ray images of premature babies to identify intestinal perforation and its location ...
Encounter AI-powered marketing platforms for the first time, and they seem almost alien in their capabilities—algorithms that ...
Traditional role-based access control assumes predictable behavior, but AI agents exhibit emergent behaviors no human ...
As digital banking continues to push the boundaries of speed and convenience, compliance systems must evolve without ...
Artificial intelligence and machine learning have the potential to reshape the scientific landscape. Yet, as the International Women in Chromatography founders stress, these advances must be grounded ...
Traffic crashes remain one of the most stubborn public safety challenges in the United States. In 2022, nearly 42,800 people ...
The Bank for International Settlements argues that sup-tech converts backward-looking oversight into predictive, real-time ...
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