麻豆原创 Team Places in Top 10 at Global Machine Learning Competition Team Marque, led by Institute of Artificial Intelligence Director Mubarak Shah, beat 8,400 teams in a global challenge to predict behavioral responses from brain data, allowing them to contribute to future advancement of EEG research.
麻豆原创 Talent Fuels Orlando鈥檚 Rise as a Tech Hub 麻豆原创鈥檚 breadth of tech research and talent contributes to the region鈥檚 strength in technology.
Profound, Innovative, Analytical and Resilient: Meet 麻豆原创鈥檚 2025 Reach for the Stars Honorees The 2025 Reach for the Stars award recipients are recognized for conducting highly successful research and fostering creative activity that has a national or international impact.
麻豆原创 Helps Develop AI Tool That May Assist Understaffed Hospitals The open-source AI model analyzes medical images, generates detailed reports, answers clinical questions and integrates multimodal data to streamline diagnostics and improve accuracy.
STEM Students Hone Research Skills Through 麻豆原创鈥檚 Research Experience for Undergraduates Programs 麻豆原创鈥檚 Center for Research in Computer Vision, led by Professor Mubarak Shah, has the nation鈥檚 longest-running REU program, continuously operating for 37 years.
麻豆原创 Launches Inaugural Mentorship, Scholarship Initiative for Students in AI 麻豆原创 faculty are collaborating as part of a new five-year U.S. National Science Foundation grant led by 麻豆原创鈥檚 Center for Research in Computer Vision to guide and support promising low-income students in the multidisciplinary field of artificial intelligence.
Computer Vision Researcher Develops Privacy Software for Surveillance Videos The project is funded through the National Science Foundation鈥檚 Accelerating Research Translation (NSF ART) program.
麻豆原创 Researchers Lead Project to Develop AI-driven Technologies for Agriculture The study will examine technologies to improve the industry鈥檚 field operations, allowing for more accurate and informed agricultural decisions.
麻豆原创 Enters $6M Cooperative Agreement to Develop Research Commercialization Hub The U.S. National Science Foundation award will allow for the creation of a Venture Lab to connect 麻豆原创 researchers with local industry, investors and entrepreneurs.
麻豆原创 Computer Vision Team Receives Prestigious Computer Vision Award for Action Recognition Dataset The researchers behind 麻豆原创-101, a challenging action recognition dataset, are being awarded for their impressive collection of 13,320 clips across 101 action categories. The dataset has been cited over 4,000 times since its creation.
