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Tempest is a leader in health tech, a biomedical engineer, and a machine learning engineer at Microsoft. Tempest has spent the last several years as a Senior Machine Learning Engineer at Microsoft, where he has 16 years of expertise in health and bioscience technologies. Tempest works with R&D teams of data scientists and engineers to […]

Diyi is a scientist on the rise, recently recognized by Forbes 30 under 30 in Science and IEEE Artificial Intelligence ten to watch. Currently, Diyi is an Assistant Professor at the Georgia Institute of Technology. Diyi is versed in artificial intelligence, machine learning, and natural language processing. While pursuing her Ph.D. in Computer Science at

Bin is a well-recognized female artificial intelligence researcher. Bin obtained her doctoral degree in statistics from the University of California, Berkeley, and she is presently a professor in electrical engineering at the same school. Bin has published over 100 articles in various areas, including machine learning, information theory, signal processing, remote sensing, and neuroscience. Bin

Cynthia is the Founder and Chief Scientist at Jibo, a consumer and social robotics business that she founded. Cynthia is also M.I.T.’s Media Lab Associate Director in charge of strategic projects and has worked with Media Labs for over twenty years. At M.I.T., Cynthia is also the director of M.I.T.’s Initiative on Responsible A.I. for

Catherine graduated from Brandeis University with a Ph.D. in Computer Science. She has been fascinated by artificial intelligence since she was a youngster. Marvin Minsky’s book, The Society of Mind, served as a source of inspiration for her. Luminoso is a large part of Catherine’s career, an A.I. and natural language processing startup that helps

Corinna is the Head of Google Research in New York, a position which she has filled for 18 years. Corinna is a computer scientist from Denmark who is well-known for her work in machine learning. Corinna is the co-recipient of the Paris Kanellakis Theory and Practice Award with Vladimir Vladimir. The award extended in 2008

Francesca is the President of the Association for Constraint Programming and a Fellow of the European Association for Artificial Intelligence. In 1993, Francesca earned a doctorate in computer science from the University of Pisa. Her artificial intelligence research focuses on preference modeling, constraint processing, and multi-agent systems. She’s also interested in ethical problems related to

Ellen is an inventor of the Marr-Hildreth algorithm and esteemed Professor of Computer Science at Wellesley College, where she specializes in computer vision and perception. Ellen is well known for co-inventing the Marr-Hildreth algorithm with David Marr. It is an image recognition approach for identifying edges in images. Ellen is also known for her research

Ruzena is an Electrical Engineer and Professor of computer and science at the University of California – Berkeley and a Founder of the University of Pennsylvania’s General Robotics and Active Sensory Perception program. Ruzena received her first Ph.D. from the Slovak Technical University in 1967 and earned a second Ph.D. in computer science from Stanford

Maria Petrou is a deceased Greek-born scientist specializing in digital image processing, artificial intelligence, and machine vision. Maria was a prolific contributor to scholarly publications and created several innovative image recognition algorithms while teaching at Surrey University and Imperial College London. The ‘trace transformation,’ a technique utilized in creating face recognition software, was one of

Jia Li is an accomplished professor at the Stanford University Department of Computer Science. Jia also earned her Ph.D. from Stanford University. Jia has spent time away from academia leading Yahoo! Labs’ Visual Computing and Learning Group, then went to work for Snapchat, where she rose to Head of Research. Shortly after that, Google hired

Fei-Fei is the director of Stanford Artificial Intelligence Lab, director of Stanford Vision Lab, and a professor in the Computer Science Department at Stanford. Fei-Fei has been a member of research teams addressing open problems in computer vision research that have contributed to improving image recognition software. Fei-Fei’s efforts have progressed picture recognition beyond simple