Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...

Sepsis, a life-threatening condition that can escalate quickly and lead to organ failure or death if not identified and treated promptly, requires early detection and management. However, identifying ...

Abstract: Wireless Body Area Networks (WBANs) are important in healthcare for monitoring patients in real-time, but challenges like low energy, high data costs, security risks, and network stability ...

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...

ABSTRACT: This essay argues that individual and collective perceptions of threat—and their neurocognitive correlate, dread—are key drivers of instability, volatility, and violence, and thus must be ...

ABSTRACT: By reviewing the evolution and applications of computer‑vision models, this paper systematically analyzes the beneficial impact of prior knowledge on machine cognition—namely, improved data ...

Predictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

As inefficient code increases enterprises’ expenditure, vendors are looking at different ways to optimize code — from shrinking model sizes to shifting from basic code generation to full-fledged code ...

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...

Future crime spots or potential perpetrators can be predicted with forecasts that are based on algorithms. Postdoctoral Researcher Carlo Gatti from the University of Turku in Finland studied the ...