The annual MIT Startup Ecosystem Conference features 25 of the most promising startups from across MIT. These startups are all part of STEX25, an accelerator run by MIT Startup Exchange, an integrated program of MIT Corporate Relations.
Applications built on machine learning algorithms are entrenching themselves everywhere, but they often bring major weaknesses that aren't discovered until after they are deployed.
Large industrial company's life science division is looking for startups in data, AI/ML, modeling in drug development, cybersecurity.