A critical procedure in diagnosing atrial fibrillation is the creation of electro-anatomic activation maps. Current methods generate these mappings from interpolation using a few sparse data points ...

Structured Mixed Precision for Efficient Deep Learning Hardware Codesign” was published by Intel. Abstract “In this paper, we ...

Access to AI intelligence should be equal to all. That means building collaborative systems of learning, like the Thames ...

Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information ...

The PlayStation Network is suffering what appears to be a massive outage heading into the weekend. PlayStation 5 and PS4 ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

Developing the software scaffolding necessary to run AI models in production can take months of work. TrueFoundry’s namesake platform promises to ease the task. The software includes a set of ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Acer has announced two new Helios Neo brand laptops with AI enabling features, including an Intel Core Ultra 9 275HX and the ...

SSI is one of several AI providers reportedly seeking to raise new funding. Last month, word emerged that OpenAI hopes to ...

Discover how Microsoft Surface Copilot+ PCs integrate AI-powered productivity, Pluton security, and 5G connectivity to ...