Explainable AI (XAI) is a subset of standard AI technology that allows us to understand the decision-making process of AI models. Researchers are using…
Browsing: Chemistry
This article discusses the use of deep kernel learning (DKL) in predicting reaction outcomes in chemistry. DKL integrates neural networks and Gaussian processes to…
IBM and Pasqal have announced a partnership to develop a common approach to quantum-centric supercomputing and promote application research in chemistry and materials science.…
IBM and Pasqal have announced a partnership to develop a common approach to quantum-centric supercomputing and promote research in chemistry and materials science. They…
Supercomputer centres in Germany and Poland are integrating quantum processing units (QPUs) from IQM and ORCA with Nvidia’s CUDA-Q platform to accelerate quantum computing…
The Center for Quantum Dynamics on Modular Quantum Devices is working towards closing the gap between the potential applications of quantum computing in chemistry…
The use of AI in chemistry has the potential to increase productivity and discovery, but the black box nature of deep learning systems raises…
Carnegie Mellon University researchers have developed a non-organic intelligent system called Coscientist, which is capable of designing, planning, and executing complex chemistry experiments. The…
This article presents an improved machine learning approach for predicting near-surface ozone concentrations in mainland China from 2010-2021. The hourly concentrations of near-surface ozone…
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory are using the latest version of PennyLane, a quantum programming framework from Toronto-based Xanadu,…