A new large language model, Qehwa, has been developed by Junaid Ahmed, in a solo effort, to serve more than 60 million Pashto ...

Quantization reduces model size and speeds up inference time by reducing the number of bits required to represent weights or activations. In NNI, both post-training quantization algorithms and ...

Quantization is good when it works, but it’s difficult to know what's wrong when it doesn't satisfy the accuracy we expect. Debugging the accuracy issue of quantization is not easy and time consuming.

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Quantum chemistry applies quantum mechanics to the theoretical study of chemical systems. It aims, in principle, to solve the Schrödinger equation for the system under scrutiny; however, its ...

Abstract: We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies that focus on low-resolution quantization, this work is more ...

Abstract: Deep neural networks (DNNs) are essential for performing advanced tasks on edge or mobile devices, yet their deployment is often hindered by severe resource constraints, including limited ...