Ansys, part of Synopsys, created a digital twin racetrack for STEM Racing (formerly F1 in Schools) that enables students to virtually test aerodynamics of miniature F1 cars using advanced ...

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

Synopsys unveiled a digital twin racetrack experience featuring Discovery accelerated by NVIDIA Omniverse libraries at the ...

Architecture and engineering firms often face challenges when seeking to claim the Sec. 41 research-and-development tax ...

A data science expert explains how to measure the economic value of generative AI, highlighting its impact across industries ...

Elon Musk announced that X’s algorithm will be fully AI-powered by November, aiming for personalised user experience. The ...

Neurons selective to running trajectories in the rat anterior cingulate cortex are reactivated during observation and interact with hippocampal replay to guide subsequent spatial navigation.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Outlining the trial-and-error processes that are involved in every research project could help others to become more ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York, Boston Medical Center, and Boston University ...

The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading ...

George Chalhoub argues for transparent and enforceable guidelines for regulating the use of AI in scientific peer review.