Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...

CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University. In the race to enable manufacturing plants to increase production ...

Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications ranging from transportation ...

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, ...

Computer vision stands at the intersection of artificial intelligence (AI), machine learning and computer graphics, revolutionizing how machines perceive and interact with the visual world. Computer ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

More than 50% of the seafood consumed in the world is grown commercially, so boosting productivity and lowering the costs of fish farms is a big deal for the industry. Startup Aquabyte Inc. aims to ...

Yuan Yuan is an Assistant Professor of Computer Science at Boston College. Previously, she was a postdoctoral research associate at MIT CSAIL. Before her time at MIT, she obtained her Ph.D. degree ...