The advent of open-source large language models has democratized chatbot development, enabling developers to create ...

Another significant limitation of LLMs is their growing context memory, known as the key-value (KV) cache, which expands as ...

Abstract: We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every ...

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

Cooking up an intelligent connected product requires careful component selection, precise techniques and creativity.

the quantization accuracy can be saved compared to uniform quantization, and after the taps are quantized, complex multiplication can be replaced by simple shift operations, simplifying the complexity ...

In this paper, we propose a post-training quantization (PTQ) framework for Segment Anything ... which utilizes a mathematically equivalent sign operation to transform the bimodal distribution into a ...

Spend your summer doing something exciting and valuable for the open-source community, and join Google Summer of Code. Read more about how the program works on this page. We require one pull request ...

As per requirements, these Windows 11 devices will need to be powered by a neural processing unit (NPU) with at least 40 TOPS (trillion operations per second), 16GB of DDR5 RAM and 256GB for storage.

Microsoft is integrating the DeepSeek R1 AI models into Windows 11 Copilot+ PCs, enabling developers to create and run AI apps locally.

The Fnirsi 2C53T is a compact 3-in-1 device combining an oscilloscope, a multimeter, and a function generator. Is it better ...