Johnson Matthey, a leading sustainable technologies company, seeks startups in artificial intelligence and automation for collaboration.
The 2025 MIT Japan Conference will explore future research trends at MIT, highlighting breakthroughs in key areas such as Soft Materials and Mechanics, Biomedical Innovation, and the impact of Generative AI (GAI) on the Work of the Future. Additional sessions will focus on Quantum and Silicon Photonics, Nanotechnology in materials and additive manufacturing, and the latest Machine Learning and AI tools for chemical discovery. Advances in semiconductor technology, hydrogen innovation, and electrochemistry, as well as thermofluidic interfaces, will also be featured.
Please visit the MIT ILP site for the full agenda.
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.
The 2024 MIT Japan Conference will feature future trends of research at MIT and highlight advances in key areas, including autonomous vehicle navigation, chemical engineering, the Chinese economy, energy storage and conversion, healthcare technologies, and materials science.
P&G is looking for a number of solutions to improve human-robot collaboration and safety. There are three distinct use cases: highly reliable object detection, deterministic localization for mobile robots, and highly reliable recognition of humans.
-Rio Tinto is looking for partners with innovative technologies and ideas for repurposing this material to help eliminate the need for storage and to make a lasting difference to local communities and the environment.
P&G is looking for solutions that can become ongoing sources of first party shopping data.