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A tidal wave of computer vision innovation is quickly having an impact on everyone's lives, but not everyone has the time to sit down and read through a bunch of news articles and learn what it means for them. In Computer Vision Decoded, we sit down with Jared Heinly, the Chief Scientist at EveryPoint, to discuss topics in today’s quickly evolving world of computer vision and decode what they mean for you. If you want to be sure you understand everything happening in the world of computer vision, don't miss an episode!

The podcast explores computer vision, a field of artificial intelligence that enables computers to understand images and videos. It details key tasks such as image classification, object detection, and image segmentation, along with various applications, including autonomous vehicles and healthcare. Important techniques like deep learning and convolutional neural networks are also discussed.

TechcraftingAI Computer Vision brings you summaries of the latest arXiv research daily. Research is read by your virtual host, Sage. The podcast is produced by Brad Edwards, an AI Engineer from Vancouver, BC, and a graduate student of computer science studying AI at the University of York. Thank you to arXiv for use of its open access interoperability.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

Dieses Hörbuch ist so aufgebaut, dass Ihnen die Inhalte im Rahmen der geschichtlichen Entwicklung der KI vermittelt werden. Aus diesem Grund beginnt unsere Reise mit dem Punkt "Einführung und geschichtlicher Hintergrund der KI". Im zweiten Abschnitt greifen wir zunächst die anfänglichen Techniken der KI auf. Sie lernen dabei die Konzepte und berühmte Beispielsysteme kennen, die diese frühe Phase der Euphorie auslösten.

I'm Gil Elbaz, Co-founder and CTO of Datagen. In this podcast, I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain a different perspective, as well as enjoying engaging conversation. It’s about much more than the technical processes – it’s about people, journeys, and ideas. Turn up the volume, insights inside.

Chat-GPT, humanoid robotics, and self-driving cars are just a few of the things that are changing our everyday lives. The rapid advancement of AI is eroding one by one all the cornerstones considered unique of human nature: language, consciousness, creativity, and moral responsibility. The book argues that the revolution we are facing is driven by Alan Turing's "vision". This vision rests on the idea that intelligence is not an intrinsic property of human beings, but is a way in which matter is functionally organized and an attribute we are naturally inclined to ascribe to certain entities.

What happens when machines learn to see? Join us as we explore the evolving world of computer vision—from autonomous vehicles and facial recognition to cutting-edge deep learning. Hosted by AI, this podcast simplifies complex visual technologies for curious minds at all levels. New episodes drop weekly. Subscribe and stay curious.

"A Lesson of Tesla Crashes? Computer Vision Can't Do It All Yet" is from the September 20, 2016 Technology section of The New York Times. It was written by Steve Lohr and narrated by Barbara Benjamin-Creel."

1984年のMacintosh登場から40周年となった本年。そして今年発表された Appleの空間コンピューティング戦略を司る Apple Vision Pro。40年を経た二つの製品、その二つに共通する思想、ビジョンとはどのようなものなのか。

2024年6月に開催された Appleの開発者向けイベントWWDC2024。話題の中心は Apple Vision Pro、そして Apple intelligence。それらの戦略、技術について、高木利弘、大谷和利が解説する。