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.
Startup Lightning Talks presented at the 2024 MIT Tokyo Life Science Symposium.
The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.
DFactory is looking for startups aiming to expand in Europe and working on sensors, AI, blockchain, 3D printing, robotics, IoT, cybersecurity, and advanced manufacturing.
John Andrews, CEO, Celect
MIT Startup Exchange presents its September Startup Workshop, centered around real-world IoT and edge computing. Many companies are grappling with how to use IoT and data/AI in their organization to monitor, predict, improve, and transform what they do. Meanwhile, many MIT startups are developing and providing innovative technology solutions to answer these very questions for industry. This workshop will present perspectives from industry leaders, academics, and corporate investors, while also showcasing select MIT startups in the field.
Organizations and individuals are facing tremendous challenges in today’s workplace. How work gets done, when and where work gets done and now who does the work are key questions that leaders have to tackle. In this symposium we will address the impact of Artificial Intelligence on the future of work. How can new technology tools like generative AI improve productivity and product quality for firms, as well as flexibility and job quality for workers? How can we tackle workforce development in new ways to gear up for this paradigm shift in the workplace?