Optimal decisions made in extreme conditions require effective fast and slow thinking. Artificial intelligence (AI) may improve the speed and accuracy of decisions made in life-or-death situations.
As chief financial officers (CFOs) increasingly turn to agentic AI to transform traditional processes across the enterprise, their eyes are fixed on the path from promise to practical application.
Infosys Health’s Venky Ananth explains how "Agentic AI" is transforming healthcare from reactive data analysis to proactive care orchestration.
Abstract: In group decision-making (GDM), the opinions of decision-makers (DMs) are prone to having controversies and conflicts. Identifying individual personality traits can better predict the ...
"An AI system can be technically safe yet deeply untrustworthy. This distinction matters because satisfying benchmarks is necessary but insufficient for trust."| Technology News ...
Abstract: Due to the obvious randomness, pedestrian crossing behavior is hard to predict, which challenges the decision-making of autonomous vehicles (AVs). Recent solutions have been able to adapt to ...
Background In early 2026, OpenClaw (formerly known as Clawdbot and Moltbot), an open-source autonomous AI agent project, quickly attracted global attention. As an automated intelligent application ...
A randomized study of 1,298 UK adults found that while large language models perform well on medical tasks alone, they do not ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results