Bioinformatics allowed me to address these questions faster and with a broader perspective. The growing availability of public data facilitated this. However, the transition wasn’t easy. I tried many ...

The University of Strathclyde has partnered with the National Physical Laboratory (NPL) and Quantum Motion to develop new ...

In a digital drug development world, the ability to simulate or predict behaviour of the manufacturing process in silico - from molecular to plant scale - has multiple benefits, including higher ...

The US Department of Energy’s Office of Science (SC) has announced that $625 million is available to support National Quantum ...

We're excited to bring the SLAS Europe Conference and Exhibition to Hamburg, Germany. Join us for Interconnecting Lab Automation, 20-22 May 2025. Find out more here.

Register with Scientific Computing World and gain unparalleled access to premium content and invaluable resources designed to keep you informed and ahead of the curve. By joining our community, you’ll ...

In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) ...

All of today’s modern supercomputers must be optimised in some way for energy efficiency because of the huge power consumption of large supercomputers. The Top500 is a prime example of this. Each of ...

Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records ...

The Gauss Centre for Supercomputing has partnered with German federal and state government funding agencies to promote the development of new generative artificial intelligence models through a ...

Scientific Computing World is hosting a virtual roundtable in February for research leaders, scientists and R&D experts in drug discovery, particularly those working with new modalities, such as RNA ...

The models used in weather and climate predictions are primarily based on laws of physics that are fairly well understood at the mathematical level. However, once you incorporate the huge range of ...