The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

DotData. Top Executive: Ryohei Fujimaki, Founder, CEO DotData develops what it calls AutoML 2.0 solutions for automating data science workflows. The dotData Enterprise machine learning and data ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

Lastly, some experts think that, black box or no, there ought to be hard limits on what machine learning is used for.EPFL’s Bryan Ford explained that there are fundamental shortcomings to AIs ...

A team of 19 prominent researchers has published guidelines for the responsible use of machine learning in science. They say it could avert a crisis that's smoldering in every field.

Data science vs machine learning. If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

Machine Learning for Data Science Curriculum. IMPORTANT NOTE: Drexel operates on the quarter, not semester, system, offering classes during four 10-week terms throughout the year. Please visit ...

That’s almost magical! I think the combination of learning new quantitative methods while applying them to social issues is a very attractive combination for students. Machine learning, for example, ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...