Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...

Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...