340 search results found
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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.
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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.
- November 8, 2019 | MIT News Office
Visualizing an AI model’s blind spots
- August 4, 2022 | Startup Feature
Breaking down bias in AI applications
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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.
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5.5.22-Efficient-AI-Sync-Computing
Run data/ML jobs easier, faster and cheaper - September 19, 2024 | MIT News Office
New AI JetPack accelerates the entrepreneurial process
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9.20.2023:Demo Day-Tristar AI
MIT STARTUP EXCHANGE SEPTEMBER 2023 DEMO DAY
