Intel Ignite is Intel’s global growth program for early-stage, deep-tech startups. Intel Ignite is now taking applications for the newest cohort of “Ignite Boston(US): Batch #1” that kicks off this Fall.
P&G is seeking startups for enabling AI tech: Transforming Consumer Insights Research with IoT, audio, and privacy-preserving video and Synthetic Image and Label Data.
Leading steel manufacturer looking for rebar coating solutions to reduce rust.
Presentation opportunity in Japan and Korea.
BlueScopeX is looking for startups for the BlueScope 2023 Buildings of the Future Accelerator Program. This is an opportunity to work with a leading manufacturer, leverage a global building and construction network and engage with industry heavyweights, to build, test and trial real solutions for the non-residential building sector.
Autonomous systems such as robots, drones, and autonomous vehicles are increasingly becoming a common element of human society. However, how to make autonomous systems more intelligent, more efficient, safer, and better aligned with human values remains to be a big challenge. The MIT Schwarzman College of Computing invests in new artificial intelligence, data science, and computer science research to advance the state of the art in autonomous systems. The 2023 MIT AI and Autonomy Conference will showcase the most recent developments in areas including networked robotics, human level perception, reinforcement learning, and computational cognitive science. Presented by the MIT Schwarzman College of Computing and the MIT Industrial Liaison Program, you will hear insights from MIT faculty, MIT Startup Exchange entrepreneurs, and industry executives from presentations, lightning talks, exhibitions, and a panel discussion.
Anglo American, a British mining company, is looking for startups in bio technology, rapid access, improved recovery, dry processing, mining legacy, sensor fusion, and EPC disruption.
Xinterra pioneered the combined use of high throughput experimentation and artificial intelligence applied to materials, seeking efficient approaches to overcome slowness, high costs and overall limitation to innovation imposed by traditional materials R&D processes. Buonassisi will discuss Xinterra's combined use of high throughput experimentation and artificial intelligence applied to materals.