The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an ...

We design, model, and build systems that combine sensors, displays, and novel optical elements to enable new functionality in cameras and displays for applications in medical, astronomical, and ...

Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks. Learners will be able to describe the process behind classic algorithmic solutions to Computer ...

Computer vision is rapidly transforming plant sciences and agriculture by enabling high-throughput, precise, and scalable phenotyping and monitoring. This Collection invites Data Descriptors ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

AI ‘watchdog’ tech accurately tracked tiny jerboas—fast, nocturnal rodents—revealing a link between hair loss and stressful ...

Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an ...

Top neuroscience labs are adapting new and unexpected tools to gain a deeper understanding of how mice, and ultimately humans, react to different drug treatments. By Peter Hess Published Jan 10, 2024 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Earlier this month, Snowflake, the data ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...