Unique solution is first to support 8-bit, 16-bit and 32-bit MCUs and 32-MPUs for ML at the edge CHANDLER, Ariz., Sept. 07, 2023 (GLOBE NEWSWIRE) -- Machine Learning (ML) is becoming a standard ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

Machine learning (ML) platforms are specialized software solutions that enable users to manage data preparation, machine learning model development, model deployment, and model monitoring in a unified ...

Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

In machine learning (ML), machines—computer programs—learn and improve based on the assessment of historical data without being directed to do so. This process allows them to improve the accuracy of ...

As companies increasingly add artificial intelligence (AI) capabilities to their product portfolios, cybersecurity experts warn that the machine learning (ML) components are vulnerable to new types of ...

Burgeoning computer capabilities often are unreliable, or brittle, at first. Capabilities that work successfully in one instance may fail miserably when applied to another area. At the moment, machine ...

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.