In November 2019 researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and the UC Berkeley introduced Taichi, a new data-oriented programming language embedded in C++14 and ...

One of the key highlights at the MLDS summit 2020 was Viral B Shah, Co-creator of Julia Computing, who talked about Julia language and how it will become the language of the future. With more than ...

In recent years there has been an explosion of research on the intersection of machine learning and classical engineering domains. For example, machine learning is increasingly being used to develop ...

Differentiable Programming could open even more doors in HEP analysis and computing to Artificial Intelligence/Machine Learning. Current common uses of AI/ML in HEP are deep learning networks – ...

Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large amounts of data. At the same time, machine learning models are becoming ...

Facebook AI is building an automatic differentiation system for the Kotlin programming language and developing a system for tensor typing. The work will assist in further exploration of Software 2.0, ...

The success of deep learning in recent years has been fuelled by large volumes of data, such as massive image datasets, that have made purely data-driven modelling by neural networks feasible. However ...

Optimal control is highly desirable in many current quantum systems, especially to realize tasks in quantum information processing. We introduce a method based on differentiable programming to ...