The chemical industry is increasingly leveraging artificial Intelligence in their quest for new synthetic routes and chemical structures used in a wide variety of applications including: building materials, packaging, agrochemicals, pharmaceuticals, and consumer products. While past efforts focused on optimizing time and cost of producing materials, growing environmental concerns, and new legislation lead manufacturers to address the environmental impact and sustainability of their products. In this webinar we present research on, and application of, computer-assisted technologies to assist researchers and corporate R&D scientists and engineers in identifying and leveraging environmentally friendly chemistry and materials.
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.