MIT

MIT researchers have created a customized onboarding process to determine the trustworthiness of AI models. This process allows humans to gauge the reliability of an AI model’s advice, making informed decisions and avoiding algorithmic pitfalls. Trust in AI can be fragile, but this approach builds a harmonious alliance between humans and AI for optimal results.

Unlock the secrets of materials with machine learning. This computational method revolutionizes materials science, predicting behavior and accelerating discovery.

AI pioneer and leader, John Evans, reflects on his 18-year tenure, highlighting his contributions to AI research, R&D mission areas, collaboration with MIT, and efforts to promote inclusivity and education in the field.

Discover how AI and data analysis are transforming optimization problems. Solve complex challenges like global package routing and power grid operation more effectively with AI-based algorithms and advanced data processing. Improve supply chain management, logistics, and power grid operations with this data-driven approach. The future of optimization problems is brighter with AI leading the way!

MIT researchers have made a breakthrough in solving motion-planning puzzles by merging combinatorial & continuous optimization techniques. This research could advance fields like robot navigation.

Discover the promise and pitfalls of AI as Rodney Brooks, co-founder of iRobot, shares insights at an MIT symposium. Explore the potential benefits of AI tools like ChatGPT and the need for transparency and regulation to mitigate risks.