Mase is a Machine Learning compiler based on PyTorch FX, maintained by researchers at Imperial College London. We provide a set of tools for inference and training optimization of state-of-the-art ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Then they trained a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to determine the voltage settings for reducing radiation ...

Discover the Darwin Godel Machine, the world’s first self-improving AI that evolves its coding skills autonomously. Learn how ...

The Midwest Optimization & Statistical Learning Conference is a biannual conference series that brings together leaders in the field of optimization and machine learning to present and discuss cutting ...

MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

In this paper, we propose Cacomp, a distributed cloud-assisted deep learning compiler framework that features accelerating the optimization on edge devices with assistance from the cloud and a novel ...