AI News, Sloan, Robert

KEYNOTE SPEAKERS

In essence, she uses combinatorial techniques to solve abstract algebraic problems, and vice versa, techniques from abstract algebra to solve combinatorial problems.Most centrally she studies functions in infinitely many variables called Schur functions, which arise in, for example, the areas of quantum physics, algebraic geometry, and theoretical computer science.

Most recently she was the recipient of the 2017 Krieger-Nelson Prize from the Canadian Mathematical Society for “outstanding research by a female mathematician”, and gave a plenary talk at the Joint Mathematics Meeting in January 2019, which is the biggest mathematics conference in the world.

RI Seminar: Peter Stone : Robot Skill Learning: From the Real World to Simulation and Back

Peter Stone David Bruton, Jr. Centennial Professor, The University of Texas at Austin Abstract For autonomous robots to operate in the open, dynamically ...

Stanford Seminar: Concepts and Questions as Programs

EE380: Computer Systems Colloquium Concepts and Questions as Programs Speaker: Brenden Lake, NYU Both AI and cognitive science can gain by studying ...

Computing at the Crossroads: Intersections of Research and Education

Hashim Sarkis, dean of the MIT School of Architecture and Planning, offers an introduction to the session on “Computing at the Crossroads: Intersections of ...

The Computer Science of Human Decision Making | Tom Griffiths | TEDxSydney

If you have ever been wracked with indecision over seemingly simple tasks, such as what clothes to wear that day or which restaurant to choose for dinner, then ...

Tutorial on Using ChromHMM Software and Existing Annotations

2015 Network Analysis Short Course - Systems Biology Analysis Methods for Genomic Data Speaker: Jason Ernst, UCLA Jason joined the faculty at UCLA in the ...

Word2Vec Explained!

Word2Vec - here's a short video giving you some intuition and insight into word2vec and word embedding. Summary of word2vec and word embedding.

Not What but Why: Machine Learning for Understanding Genomics | Barbara Engelhardt | TEDxBoston

Machine learning and artificial intelligence are changing the nature of biological research, especially genomics. Artificial intelligence applications are opening ...

Mind vs Machine: Implications for Productivity, Wages and Employment from AI

Moderator: Daron Acemoglu, Professor, MIT Department of Economics Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy, and Professor, MIT ...

The Marketplace for Intelligence

Moderators: Haym Hirsh, Professor of Computer Science, Rutgers University; Visiting Scholar, Center for Collective Intelligence and Sloan School of ...

2017-18 IoT: AI At Enterprise Scale

IoT: AI at Enterprise Scale Silicon Valley legend Thomas M. Siebel shares his vision, based on 40 years of experience in the information technology industry, ...