Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Compacting an AI model to run faster. AI quantization is primarily performed at the inference side (user side) so that it can run more quickly in phones and desktop computers. For example, whereas the ...
Pruna AI, a European startup that has been working on compression algorithms for AI models, is making its optimization framework open source on Thursday. Pruna AI has been creating a framework that ...
CHENGDU, SICHUAN, CHINA, June 13, 2025 /EINPresswire.com/ -- Just a few days after its release, Aiarty Video Enhancer is making waves for one reason: it’s fast. In ...
TORONTO--(BUSINESS WIRE)--Untether AI ®, the leader in energy-centric AI inference acceleration, today announced the availability of early access (EA) of its imAIgine ® Software Development Kit (SDK) ...
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 ...
In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...
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What is AI quantization?
Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as possible, ...
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