Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

Microsoft’s new BitNet b1.58 model significantly reduces memory and energy requirements while matching the capabilities of ...

AWS announced the availability of the new Well-Architected Generative AI Lens, focused on providing best practices for ...

Collaboration showcases power of PSOC Edge in enabling real-time, power-efficient Edge AI applications, highlighting how ...

Increases in U.S. power consumption are driven by the expansion of “always on” data centers and clean-technology factories, ...

Unlike previous post-training quantization attempts ... Its ternary design allows inference using mainly addition operations, avoiding expensive multiplications. Researchers estimate it consumes ...

Nextchip license NeuPro-M NPU to bring powerful and highly efficient AI capabilities to boost performance and capabilities of ...

Used Phi-4 to develop a business-specific generative AI application using quantization technology ... this example of generative AI utilization in Japan Airlines' cabin operations. This joint proof-of ...