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“Life is short, so aim high” - MIT News Caption: “I’d say life is short, so aim high,” Jaramillo says “As scientists and engineers that means tackling the hard problems because the easy ones have been solved and, besides, there’s little satisfaction in them ”
Capturing cell growth in 3-D - MIT News MIT spinout AIM Biotech has developed a microfluidics device that lets researchers co-culture multiple cell types in a 3-D hydrogel environment that mimics natural tissue, to more accurately study biological processes, such as cancer metastasis, and better capture how cancer cells react to chemotherapy agents
How to aim a fire extinguisher - MIT News The technique is called PASS: Pull the pin; Aim at the base of the fire; Squeeze the lever slowly; Sweep from side to side The test fire was produced by a BullEx box, which has sensors to determine where the trainee is aiming and to vary the flames in response, providing a realistic and safe training experience
MIT’s Center for Constructive Communication takes aim at . . . - MIT News The MIT Center for Constructive Communication (CCC) and the closely affiliated nonprofit Cortico today announced the launch of a broad-based effort that draws on expertise in face-to-face human dialogue, digital networks, and machine learning to develop safe and trusted spaces for meaningful, nonpolarizing human connection and civic impact
Consortium including MIT awarded $110M national grant to promote . . . MIT will also host AIM Photonics’ program in education and workforce development, which Kimerling will direct This will include developing educational materials — ranging from K-12 through continuing education — to prepare future employees for this emerging industry, including teaching on the design of integrated photonic devices
Generative AI imagines new protein structures - MIT News “The aim, with respect to this new capacity of generating synthetic protein structures, opens up a myriad of enhanced capabilities, such as better binders This means engineering proteins that can attach to other molecules more efficiently and selectively, with widespread implications related to targeted drug delivery and biotechnology, where
Angela Koehler takes on the most challenging drug targets Angela Koehler, an associate professor of biological engineering at MIT, has made it her mission to find ways to drug “undruggable” targets By taking aim at proteins that interact with these targets, she can indirectly disable them or reduce their impact
Introducing the MIT Generative AI Impact Consortium The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry