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.
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Procter & Gamble is looking for new approaches and technologies that can help them to address key business challenges/opportunities. The following innovation brief(s) will provide a high-level overview of specific business goals and needs, as well as a high-level overview of what they are looking for in a solution.
The MIT Startup Exchange team is seeking startups to present at the Startup Lightning talks of MIT’s Leading Edge Webinar - Computationally-Assisted Materials Discovery, taking place on Thursday, April 10, 2025, from 10:00 AM to 12:00 PM ET (hyperlink). We are looking for 5 startups working on machine learning, AI, computational data science, advanced materials, nanotechnology, quantum materials & computing, and semiconductors to present at the webinar.
P&G is looking for partners and solutions that can assist them to optimize their supply chain by improving their back-office operations and order-to-cash cycle through touchless order acquisition solutions. Additionally, P&G would like to understand existing best practices in the e-Commerce industry to improve their own existing processes. P&G is specifically looking for partners and solutions that are able to execute pilots in the Asia, Middle East & Africa region.
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.