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.

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype and ...

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

Building robots that operate independently at sizes below one millimeter is incredibly difficult,” it is exceedingly hard to ...

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.

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 ...

Somewhere at the edge of mathematics lurks a number so large that it breaks the very foundations of our understanding - and ...

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

A classic math rule now handles infinity. New work strengthens the math behind physics and unbounded systems. % ...