Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister chromatid exchanges (SCE) in chromosomes under the microscope. Conventional ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

In the data-centric music economy of 2026, discovery is no longer driven by human taste—it is driven by prediction. Platforms ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...

Peer review has met its match.