In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
As Kalshi captures a dominant 89% of the market, a high-stakes legal battle between federal regulators and individual states ...
AI can’t be fully trusted, yet businesses depend on it. Explore the risks of bias, hallucinations, and adversarial ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
The forecast is still coming into focus, but there at least a chance that parts of Minnesota see severe storms Sunday-Monday.
Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...
Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...
ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...
Abstract: Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate load ...
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