A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...

The paper challenges the dominant “mirror metaphor” that defines digital human twins as faithful replicas of human behavior ...

These universal truths form the shared foundation upon which a great deal of rigorous and robust merit-based inquiry is ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

Levi Patterson lifts the lid on the sophisticated 3D-to-factory platform he's built that enables personalized designs for ...

Demonstrating and applying control theory has long presented a complex challenge, encompassing a broad range of engineering ...

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.

Throughout 2025, we were offered a number of powerful reminders of what it means to live beside the dynamic Monterey Bay.

How AI Is Integrating Fire Prevention Into Modern Security Service Models Fire prevention is no longer treated as a ...