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 ...

Generative artificial intelligence could result in a renewed emphasis on conversational approaches to teaching, researchers say, as chatbots make it easier to bypass recall-based learning and test the ...

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 ...

BENTONVILLE, Ark.—Walmart executives aren’t sugarcoating the message: Artificial intelligence will wipe out some jobs and reshape its workforce. Now the country’s largest private employer is making ...