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What's New in 2025 for Computer Vision?
Manage episode 466170984 series 3364101
Content provided by Jonathan Stephens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Stephens or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
After an 18 month hiatus, we are back! In this episode of Computer Vision Decoded, hosts Jonathan Stephens and Jared Heinly discuss the latest advancements in computer vision technology, personal updates, and insights from the industry. They explore topics such as real-time 3D reconstruction, computer vision research, SLAM, event cameras, and the impact of generative AI on robotics. The conversation highlights the importance of merging traditional techniques with modern machine learning approaches to solve real-world problems effectively.
Chapters
00:00 Intro & Personal Updates
04:36 Real-Time 3D Reconstruction on iPhones
09:40 Advancements in SfM
14:56 Event Cameras
17:39 Neural Networks in 3D Reconstruction
26:30 SLAM and Machine Learning Innovation
29:48 Applications of SLAM in Robotics
34:19 NVIDIA's Cosmos and Physical AI
40:18 Generative AI for Real-World Applications
43:50 The Future of Gaussian Splatting and 3D Reconstruction
This episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io
15 episodes
Share
Manage episode 466170984 series 3364101
Content provided by Jonathan Stephens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Stephens or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
After an 18 month hiatus, we are back! In this episode of Computer Vision Decoded, hosts Jonathan Stephens and Jared Heinly discuss the latest advancements in computer vision technology, personal updates, and insights from the industry. They explore topics such as real-time 3D reconstruction, computer vision research, SLAM, event cameras, and the impact of generative AI on robotics. The conversation highlights the importance of merging traditional techniques with modern machine learning approaches to solve real-world problems effectively.
Chapters
00:00 Intro & Personal Updates
04:36 Real-Time 3D Reconstruction on iPhones
09:40 Advancements in SfM
14:56 Event Cameras
17:39 Neural Networks in 3D Reconstruction
26:30 SLAM and Machine Learning Innovation
29:48 Applications of SLAM in Robotics
34:19 NVIDIA's Cosmos and Physical AI
40:18 Generative AI for Real-World Applications
43:50 The Future of Gaussian Splatting and 3D Reconstruction
This episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services: https://www.everypoint.io
15 episodes
All episodes
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Similar to Computer Vision Decoded
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
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…
continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
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…
continue reading
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
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Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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