June 23, 2021 - LeapMind Inc. (Shibuya-ku, Tokyo; CEO: Soichi Matsuda), a creator of the standard in edge AI today announced that it has been granted two patents for its extremely low bit quantization ...
Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
DeepSeek-R1, released by a Chinese AI company, has the same performance as OpenAI's inference model o1, but its model data is open source. Unsloth, an AI development team run by two brothers, Daniel ...
What if the future of artificial intelligence wasn’t about building bigger, more complex models, but instead about making them smaller, faster, and more accessible? The buzz around so-called “1-bit ...
8k Super Hi-Vision (SHV) is a high-presence broadcasting system consisting of ultra-high-definition video with approximately 33 mega-pixels (7,680 x 4,320 pixels), and 22.2 multi-channel 3D audio.
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