A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

For children and teens, a psychologist might help them understand big feelings like worry, sadness, or anger; figure out why ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Home Assistant's Apps are the best way to get started.

After 12 years working the nightclub in Las Vegas, Roberto Smith was ready for a change. A move to Florida led to an ...

For our second evaluation of braiding hair, CR tested 30 human and synthetic hair products to determine if there are less toxic products on the market.

“Training should be treated as a strategic investment in operational readiness, not a discretionary cost, because the consequences of capability gaps are rarely theoretical,” she added. For HR, that ...

And there are no foolproof tools that allow educators to suss out whether students have improperly used A.I. In response, many teachers and professors are rethinking what types of writing they assign ...

Artificial intelligence-enhanced classrooms are prompting educators and campus leaders to rethink what learning spaces are ...

The traditional model of memory proposes that different types of long term memory are processed in separate brain modules. New research shows activation of these modules overlaps.