379 search results found
-
Breaking down bias in AI applications
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.
-
5.5.22-Efficient-AI-UbiCept
Computer vision in challenging scenarios -
4.5.23-AI-Vecna-Robotics
Robotics Startup for Autonomous Forklifts -
Past Deadline: Feb 11, 2020
Large co's life science division seeks startups in data/AI/modeling
meetingLarge industrial company's life science division is looking for startups in data, AI/ML, modeling in drug development, cybersecurity.
-
Profit Isle, inc.
Boston, MAThe Profit Isle Platform empowers customers to make their incoherent enterprise data speak profit. With our platform, companies can address key industry issues, drive value to the bottom line in weeks, and create a coherent, scalable dataset that's ready for AI.
Deployed on Google Cloud... More
-
Past Deadline: Apr 19, 2024
BT is looking for groundbreaking solutions to feature in their showcases
otherBT is looking for solutions across fintech, retail, healthcare, future networks, drones, security or logistics.
- November 8, 2019 | MIT News Office
Visualizing an AI model’s blind spots
- August 4, 2022 | Startup Feature
Breaking down bias in AI applications
-
Past Deadline: Feb 5, 2021
P&G seeks startups for innovative consumer experience
otherP&G is seeking startups for innovative consumer experiences: 1) Making a Sustainable Lifestyle Effortless 2) AI Technologies for Digital Expert Advisors with conversational AI and hybrid human-ML, 3) Transformative Transactions including sourcing, manufacturing, distribution, and autonomous supply chain, 4) Automation of Daily In-Home Consumer Tasks, and 5) Enabling Breakthrough Growth for Omnichannel Brands.
-
4.28.22-AI-Manufacturing-Sustainability
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.
