Artificial intelligence has the potential to transform healthcare, and some of the most exciting opportunities are being pursued by innovators to solve problems in drug development and medicine. Join us during the J.P. Morgan Healthcare Conference on the evening of January 15th, 2020, and meet leaders from top startups in the space--you'll have the opportunity to hear first-hand about how they're using AI to develop novel molecules, improve high-throughput screening, optimize clinical trials, and enable unprecedented advances in precision medicine.

Tuomas Sandholm is a professor at CMU and co-creator of Libratus, which is the first AI system to beat top human players at the game of Heads-Up No-Limit Texas Hold'em. He has published over 450 papers on game theory and machine learning, including a best paper in 2017 at NIPS / NeurIPS. His research and companies have had wide-reaching impact in the real world, especially because he and his group not only propose new ideas, but also build systems to prove these ideas work in the real world. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone.

Tomaso Poggio is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of the nature of intelligence, in both biological neural networks and artificial ones. He has been an advisor to many highly-impactful researchers and entrepreneurs in AI, including Demis Hassabis of DeepMind, Amnon Shashua of MobileEye, and Christof Koch of the Allen Institute for Brain Science. This conversation is part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence. The conversation and lectures are free and open to everyone.

Engadget reports that MIT's Computer Science and Artificial Intelligence Lab (CSAIL) has come up with a solution for buffering that could put an end to the loading icons and progress bars. It tasked a neural network with trying to solve one of the biggest challenges when developing conventional buffering systems. "Buffering" refers to the chunk-based streaming of large files over a network. When you play a video, it's effectively chopped into sections that are downloaded individually of each other. You can start watching the video without having to download the entire thing first.

The Ministry of Science, ICT & Future Planning announced on June 19 that Ulsan National Institute of Science & Technology professor Choi Jae-shik recently developed an artificial intelligence system and is going to unveil it at an academic seminar this month. According to the professor, the system is capable of predicting the future prices of houses, future stock prices, foreign exchange rate movements and the like after reading newspaper articles, business reports and so on and then automatically drawing up reports in English. "The system will become capable of drawing up the same reports in Korean at some point in time next year and writing news articles in the near future," the professor remarked. Earlier, an AI system capable of stock price prediction has been developed by the MIT and the University of Cambridge. This system, however, is limited in accuracy because it predicts future prices by analyzing correlations between the prices of stocks owned by someone and the others based on numerical data such as past prices.