NVIDIA Ising decoder cuts colour-code logical error rates 347.7× in simulations while running 7.33× faster than Chromobius.

Meta released Brain2Qwerty v2, an AI system that decodes brain activity into typed sentences using external MEG sensors instead of surgical implants, reaching 61% word accuracy.

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.

Traditional tools like pyMatching and other decoding libraries are highly optimized but typically static, requiring manual tuning for different hardware topologies. In contrast, Ising uses learned ...

Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running in a ...

For quantum computing to reach the point where it is fault-tolerant, scalable, and commercially viable, it’s going to be with the help of key components of advanced computing today, namely AI, open ...

Ising models are designed to help perform quantum error correction and calibration. Nvidia has announced a new family of open-source quantum AI models on World ...

The tech giant says Ising, the new family of open-source quantum AI models for building quantum processors, will be the AI control plane for quantum hardware. Nvidia today unveiled a new family of ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...