Artificial intelligence systems excel at rapid task completion, but fairness doesn't always accompany speed. When machine-learning models train with biased datasets, these systems inevitably demonstrate similar prejudices in real-world decision-making scenarios. Consider facial-recognition AI train
Established in October 2020, the MIT-Accenture Convergence Initiative represents a groundbreaking collaboration between academia and industry, driving technological innovation through interdisciplinary research. This five-year program advances its mission through comprehensive research initiatives,
The ocean remains one of Earth's most challenging frontiers, with its unpredictable weather patterns and communication limitations leaving vast areas unexplored and shrouded in mystery. However, artificial intelligence and advanced computing are now opening new possibilities for understanding and p
While humans can effortlessly visualize three-dimensional environments from flat two-dimensional images, artificial intelligence systems have traditionally struggled with this seemingly simple task. This limitation has posed significant challenges for AI-driven machines that need to interact with t
Dr. Cathy Wu serves as the Gilbert W. Winslow Assistant Professor of Civil and Environmental Engineering at MIT, while also contributing as a member of the MIT Institute for Data, Systems, and Society. During her undergraduate years, Wu conquered MIT's most challenging robotics competition. As a gr
Revolutionary AI Insights Unveiled: TEDxMIT Explores Cutting-Edge Artificial Intelligence Breakthroughs and Ethical Challenges
MIT Appoints AI Pioneer Cynthia Breazeal to Lead Digital Learning Revolution
Revolutionary AI System Enables Machines to Perceive the World Through Human-Like Vision
