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 ...

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 ...

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

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

In 1989, Sir Tim revolutionized the online world. Today, in the era of misinformation, addictive algorithms, and extractive ...

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

BACKGROUND: PYGM (muscle glycogen phosphorylase), the rate-limiting enzyme in glycogenolysis, plays an indispensable role in maintaining cardiac energy metabolism. However, the role of PYGM in the ...

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.

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

Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...

Google’s State of AI-assisted Software Development Report 2025 reveals AI adoption increased, but trust in AI is still uneven ...

This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined ...