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.
Akkio makes it incredibly easy to build and deploy machine learning predictive models. Optimize your sales pipeline, reduce churn, forecast demand, and more -- easier and faster than ever before.
P&G is seeking new communication methods, new ways of engaging consumers, and ways to create novel brand experiences.
The MIT Startup Exchange team (MIT STEX) is seeking for up to six startups to present at the Startup Lightning talks during MIT's Health Science Forum — a convening of industry leaders, researchers, and innovators across the health and life sciences ecosystem. Date: May 11, 2026.
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.
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.