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 ...

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 ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

PALO ALTO, Calif. – July 29, 2024 – D-Wave Quantum Inc. today announced it is strengthening the connection between quantum optimization, artificial intelligence and machine learning by extending its ...

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A Nigerian network engineer expert has called on Nigerian policy makers and stakeholders in the tech industry to prioritise resilience in AI/ML infrastructure as key to building a secure and ...

PALO ALTO, Calif.--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services and the world’s first commercial ...