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MIT researchers have developed a machine-learning model that better selects molecule candidates for therapeutics, while also allowing for automated modification of the molecular structure for higher potency. The innovation has potential to speed up drug development. Courtesy of the researchers

Automating molecule design to speed up drug manufacturing

Designing new molecules for pharmaceuticals is primarily a manual, time-consuming process that’s prone to error. Frequently, scientists utilize expert knowledge and direct tweaking of particles,...
Called R1, Skydio's drone is equipped with 13 cameras that capture omnidirectional video. It launches and lands through an app — or by itself. On the app, the R1 can also be preset to certain filming and flying conditions or be controlled manually.

Autonomous video-capturing drone “selfie drone”

Skydio, a San Francisco-based startup founded by three MIT alumni has recently developed an autonomous video capturing drone also called 'selfie drone' that tracks and...
With New Computational Model, Buildings May “Sense” Internal Damage

With New Computational Model, Buildings May “Sense” Internal Damage

MIT scientists have developed a computational model that makes sense of ambient vibrations. It raises some features in the noise that give indications of a building’s...

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