Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Singapore launches a new framework to safeguard against risks posed by agentic AI, ensuring responsible development and ...
Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining attention in recent years as autonomous driving and connected vehicle ...
This research project investigates whether Inverse Reinforcement Learning (IRL) based intention recognition algorithms can improve human-robot cooperation in assistive systems. Inspired by how ...
A multidisciplinary framework for designing rapidly deployable, scalable and context-specific decarbonisation interventions for clinical care has been developed within the National Health Service, ...
Department of English, School of Social Sciences and Languages, Vellore Institute of Technology, Chennai, India In response to the escalating ecological crises, this study aims to propose a ...
Those were sighs of relief you heard from investors after Nvidia reported better-than-expected earnings, putting off for awhile longer worries about an AI bubble. But they quickly turned into sighs of ...
A multinational team of scientists has developed a novel method to evaluate how coastlines respond to climate change, leveraging satellite data, field observations, and artificial intelligence to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results