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.

Some luxury cars showed up with quiet cabins and fancy badges, then surprised everyone by taking abuse like old-school ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

The United States is increasingly governed by reversal. Policies are launched with urgency, amplified with incentives and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

UB undergraduate engineering students are learning to solve complex, open-ended engineering problems as part of their required coursework. One goal of assigning these types of problems is to better ...

LMU’s Seaver College of Science and Engineering (CSE) is developing a brand-new complex meant to promote interdisciplinary innovation across all science, technology, engineering and math fields. The ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Managing regulatory compliance has never been a linear process. As global regulations evolve in response to technological advancements, global economic shifts, and increasing awareness of societal ...