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

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...

The 2025 Nobel Prize in Physics has been awarded to John Clarke, Michel H. Devoret, and John M. Martinis “for the discovery of macroscopic quantum tunneling and energy quantization in an electrical ...

Similar to #645, I am getting worse performance and throughput with the quantized version. I used the out of the box quantization example with the basic vLLM script. This is true for the 7B and 14B. I ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

I noticed that in the examples, W4A16 quantization is provided specifically for multimodal models, while Int8 W8A8 quantization examples are only available for LLM. These examples use ...

ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...

There is plenty of experimental evidence on magnetic flux quantization from superconducting loops to two-dimensional electron gas, which is observed in the quantum Hall effect. I have pursued an ...

Abstract: The accuracy of lifetime prediction is significantly influenced by the quality of condition monitoring (CM) data, and both forward and reversed problems related to this issue have been ...