The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...

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

The algorithm sifted through galaxies in mergers, revealing elongated star and gas streams; gravitational lenses bending ...

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Tesla Full Self-Driving leverages cameras, neural networks, and real-world testing to navigate traffic safely, advancing ...

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 ...

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

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

Astronomers using artificial intelligence have discovered more than 1,300 rare astrophysical objects hidden in archived data ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...