An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.

From Gaza to Iran, the pattern is the same: precision weapons, chosen blindness, and dead children. The cost of failing to regulate AI warfare is already too high ...

Stop pretending your AI is objective; every algorithm you deploy is a high-speed vessel for someone else's bias and political agenda.

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

In the context of AI systems, this finding suggests that vague warnings about privacy risks may be more damaging to user trust than transparent disclosures about specific probabilities. Clear ...

The landscape of the Champions League has been defined following the latest update of Opta’s statistical model. The data leads to a clear conclusion: Spanish football is regaining its status of ...

In statistical fine-mapping, signals stable across stratified subgroups can capture functionally important loci missed by covariate adjustment approaches, and prioritizing agreement between both ...

One of the biggest promises of quantum computing is the ability to simulate molecules ...

March Madness Selection Sunday explained through data. The key metrics including NET rankings, quadrant wins, strength of schedule and WAB.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...