Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

The Golisano Institute for Business & Entrepreneurship in Rochester, NY offers accelerated, career-focused programs for students seeking a direct path into the business world. In just nine months, a ...

Greetings. Welcome to the Cengage Group's Second Quarter Fiscal Year 2026 Conference Call. [Operator Instructions] Please note, this conference is being recorded. I will now turn the conference over ...

In this prank call, I rang a brand new primary school with some very strange questions — like asking if they offer ninja training, have nap time for adults, or allow emotional support crayons. The ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

W4S operates in turns. The state contains task instructions, the current workflow program, and feedback from prior executions. An action has 2 components, an analysis of what to change, and new Python ...

Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...