Facebook Inc.’s artificial intelligence research team today announced more breakthroughs, this time in the areas of self-supervised learning and semi-supervised learning for computer vision.

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. Since the early days of artificial intelligence, computer scientists have ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Deep Learning for Computer Vision is a hands-on course that guides you through the foundational and advanced techniques which drive modern computer vision applications—from image classification to ...

Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. Computers back in the day were good at understanding numbers yet ...

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 ...

In this online data science course, you will dive into computer vision as a field of study and research. Using the classic computer vision perspective, you will explore several computer vision tasks ...

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 ...

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 ...

Scientists need to put more effort and resources into developing deep-learning forecasting models that consider the morphology of PV panels, a group of academics led by the University of Cambridge ...