An AAPS Open editorial spotlights chemical engineer Lucas Attia, whose PhD work matured nanoemulsion templating for drug ...
US researchers have created a machine-learning-guided method to design better electrolytes for sodium-metal batteries. The Massachusetts Institute of Technology (MIT) team’s work could help make this ...
Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...
Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...
Editor's Note: Harvard Business School’s Institute for Business in Global Society (BiGS) and Digital, Data, and Design (D^3) Institute invited Catherine D'Ignazio, associate professor of urban science ...
Computer scientists at MIT have developed a machine-learning system that can identify objects in an image based on a spoken description of the image. Typical speech recognition systems like Google ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. MIT, a leader in AI, is urging a fundamental re-evaluation of higher education in response ...
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
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