In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Accurate monitoring of atmospheric aerosols is essential for air-quality management and climate research, yet remains ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...

Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...