MONTRÉAL--(BUSINESS WIRE)--Today, Kothar Computing is announcing the launch of Kothar’s FORGE, a next generation scientific computing platform that solves complex quantum many-body problems with ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

MUNICH--(BUSINESS WIRE)--SimScale GmbH announced today the worlds’ first fully integrated and cloud-native A.I. based physics predictions coming to its simulation software. SimScale has partnered with ...

[Sergii] has been learning about robot simulation and wrote up a basic simulator for a robodog platform: the Unitree A1. It only took about 800 lines of code to do so, which probably makes it a good ...

Nvidia it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by Nvidia. Google Quantum AI is using the hybrid quantum ...

The hope for quantum computers is that the devices will be able to solve complex tasks such as predicting how chemicals react or cracking encrypted text. One of the main reasons that the machines are ...

Scientists at the Department of Energy’s Oak Ridge National Laboratory are leading a new project to ensure that the fastest supercomputers can keep up with big data from high energy physics research. ...

Silvaco Group, Inc. announced its acquisition of Tech-X Corporation, a leader in multi-physics simulation software utilized in various applications such as Photonics and Plasma Dynamics. This move is ...

In engineering, understanding how different elements of physics interact can make all the difference between a crappy design and superior performance. Whether designing the heating element of a kettle ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...