anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Former Google AI executive Jad Tarifi says Integral AI has achieved human-level AGI, but researchers say definitions and ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Autonomy isn't free; rather, it's financed by sophisticated oversight systems that enable safe and reliable autonomous ...

Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...

The first is the rapid emergence of autonomous agents that can negotiate, reason, and act with minimal supervision. The ...

Patronus AI's debuts Generative Simulators to support continuous evolution and improvement of AI agents - SiliconANGLE ...