Struggling to understand energy quantization? In this MI Physics Lecture Chapter 8, you’ll learn the concept of energy quantization quickly and clearly with step-by-step explanations designed for ...

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...

Explore the significance of model quantization in AI, its methods, and impact on computational efficiency, as detailed by NVIDIA's expert insights. As artificial intelligence (AI) models grow in ...

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 ...

Hardware-accelerated YOLO11 object detection on Xilinx Zynq-7020 FPGA (PYNQ-Z2 board) using Keras 3, HGQ2, and HLS4ML. yolo11_zynq_deployment/ ├── config.yaml # Configuration file ├── requirements.txt ...

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 ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.

I converted an image->RGBA->PA and counted the palette colors. What did you expect to happen? I expected the palette to contain no more colors than the number of pixels in the image, or possibly no ...

Abstract: This study systematically investigates how quantization, a key technique for the efficient deployment of large language models (LLMs), affects model safety. We specifically focus on ...