Find what was learned after computer scientists explore the challenges and opportunities of using fully automated AI systems ...

The reasoning systems are based on a technology called large language models, or L.L.M.s. To build reasoning systems, ...

AI is graduating from recognition to reasoning—and organizations must follow suit by scaling their computing power with ...

In an era where cloud-native architectures are at the forefront of digital transformation, regulatory compliance has become ...

He also discussed the "education" of such machines "by means of rewards and punishments." Turing's ideas ultimately led to ...

Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...

Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable,” as regulators and consumers alike begin to demand it. “It’s not like this is a future ...

With this transition information, the system can better estimate the states to assist the decision making." The new reinforcement learning framework Teng and his colleagues developed could soon open ...