Reasoning about causal relationships is central to the human experience. This evokes a natural question in our pursuit of human-like artificial intelligence: how might we imbue intelligent systems with similar causal...
Reasoning about causal relationships is central to the human experience. This evokes a natural question in our pursuit of human-like artificial intelligence: how might we imbue intelligent systems with similar causal...
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
Long-form text generation is an emerging AI technology that has seen extensive recent interest due to the success of ChatGPT. However, several key challenges need to be addressed before long-form text generation systems...
Electroencephalography (EEG) and surface electromyography (sEMG) are powerful tools for the interrogation of human physiology, yet contemporary methods are notoriously cumbersome. Typical setups may involve bulky...
Seldonian algorithms are a class of algorithms that either return a (usually machine learned) model that meets specified safety conditions with specified probability, or return "no solution found". One fairly natural way...
Seldonian algorithms are a class of algorithms that either return a (usually machine learned) model that meets specified safety conditions with specified probability, or return "no solution found". One fairly natural way...
Ask alumni about their career journeys!
Speakers include a Nike Data Scientist, MathWorks Software Engineer, Fidelity UX Designer, RSM Technology Consultant, Toast Software Engineer, and maybe more!
Come...
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
Abstract:
Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on...
Seldonian algorithms are a class of algorithms that either return a (usually machine learned) model that meets specified safety conditions with specified probability, or return "no solution found". One fairly natural way...