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.

Keystone species play an outsized role in the ecosystem, affecting the natural balance in ways that cannot easily be replaced.

The successful touchdown instantly shifted Autoland from futuristic promise to operational reality, raising questions about ...

Increasing longevity is forcing a rethink of public policy, individual lifestyles, and private finances. Yet it is crucial not to overreact or grow unduly alarmed about shifting population dynamics.

Scientists have spent decades trying to pin down what fatigue really looks like inside the brain, but until now they have ...

An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...

Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...

Neuralink’s Blindsight implant has received FDA breakthrough status, aiming to restore sight by stimulating the visual cortex ...

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

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

Properties that remain unchanged when materials are stretched or bent, which are broadly referred to as topological ...