Decision Systems News Today

MIT professors Roger Levy, Tracy Slatyer, and Martin Wainwright won 2024 Guggenheim Fellowships in neuroscience, physics, and data science. Guggenheim Fellows are awarded monetary stipend to pursue independent work and research.

From Boston Dynamics head to Ray Kurzweil, these visionaries stand at the forefront of Bostons artificial intelligence innovation.

The guide addresses concerns raised by industry players about AI-related data privacy and public awareness. Read more at straitstimes.com.

MIT Professor Tamara Broderick uses Bayesian inference to quantify uncertainty in an effort to better understand the limits of data analysis techniques. She collaborates with scientists in an array of fields, helping them craft better data analysis for their research.

He’s an Associate Professor of Aeronautics and Astronautics and the Director of the Laboratory for Information and Decision Systems (LIDS).

MIT researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work.

On his podcast, Fridman has spoken to the likes of Elon Musk, Mark Zuckerberg, Jeff Bezos, Benjamin Netanyahu, Robert F. Kennedy Jr., Ye, and Joe Rogan.

While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, the optimization problem of efficiently routing holiday packages is so complicated that they often employ specialized softwar

A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer experimental trials than other methods.