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Edge AI and Vision Alliance
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Добавлен 11 фев 2011
The primary mission of the Edge AI and Vision Alliance is to inspire and empower engineers to design products that perceive and understand.
Adobe Details Evaluation and a Solution for Harm and Bias with Firefly (Preview)
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/harm-and-bias-evaluation-and-solution-for-adobe-firefly-a-presentation-from-adobe/
Rebecca Li, Machine Learning Engineering Manager at Adobe, presents the “Harm and Bias Evaluation and Solution for Adobe Firefly” tutorial at the May 2024 Embedded Vision Summit.
In this talk, Dr. Li will explore the comprehensive approach Adobe has taken to mitigate harm and bias for Firefly, Adobe’s groundbreaking AI art generation tool, integrating AI ethics across all development stages. From design to deployment, Firefly prioritizes ethical considera...
Rebecca Li, Machine Learning Engineering Manager at Adobe, presents the “Harm and Bias Evaluation and Solution for Adobe Firefly” tutorial at the May 2024 Embedded Vision Summit.
In this talk, Dr. Li will explore the comprehensive approach Adobe has taken to mitigate harm and bias for Firefly, Adobe’s groundbreaking AI art generation tool, integrating AI ethics across all development stages. From design to deployment, Firefly prioritizes ethical considera...
Просмотров: 6
Видео
365 Retail Markets Shows How to Enable Smart Retail with Visual AI (Preview)
Просмотров 3012 часов назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/enabling-smart-retail-with-visual-ai-a-presentation-from-365-retail-markets/ Himanshu Vajaria, Engineering Manager at 365 Retail Markets, presents the “Enabling Smart Retail with Visual AI” tutorial at the May 2024 Embedded Vision Summit. A...
The Edge AI and Vision Alliance Hosts the 2024 Vision Tank Competition Finalist Round (Preview)
Просмотров 1314 часов назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/may-2024-embedded-vision-summit-vision-tank-competition-finalist-presentations/ Patrick Lohman, CEO and Co-Founder of Cloneable, AI, Nasim Sahraei, Chief Product Officer at Edgehog Advanced Technologies, Brad Chisum, CEO of eyepop.ai, Kwabe...
Experts Discuss Whether Multimodal LLMs at the Edge Are Ready Yet (Preview)
Просмотров 3417 часов назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/multimodal-llms-at-the-edge-are-we-there-yet-an-embedded-vision-summit-expert-panel-discussion/ Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Multimodal LLMs at the Edge: Are We There Yet?” Expert Panel at the May 2024 Embe...
Jeff Bier Welcomes Attendees to the May 2024 Embedded Vision Summit (May 23) (Preview)
Просмотров 1719 часов назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/may-2024-embedded-vision-summit-opening-remarks-may-23/ Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2024 Embedded Vision Summit on May 23, 2024. Bier provides an overview of the edge AI and vision ma...
Jeff Bier Welcomes Attendees to the May 2024 Embedded Vision Summit (May 22) (Preview)
Просмотров 1419 часов назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/09/may-2024-embedded-vision-summit-opening-remarks-may-22/ Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2024 Embedded Vision Summit on May 22, 2024. Bier provides an overview of the edge AI and vision ma...
Yong Jae Lee Explains Learning to Understand Our Multimodal World with Minimal Supervision (Preview)
Просмотров 36День назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/understand-the-multimodal-world-with-minimal-supervision-a-keynote-presentation-from-yong-jae-lee/ Yong Jae Lee, Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison and CEO of GivernyAI, present...
The Yole Group Reviews Market and Technology Trends in Automotive ADAS (Preview)
Просмотров 41День назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/market-and-technology-trends-in-automotive-adas-a-presentation-from-the-yole-group/ Florian Domengie, Senior Technology and Market Analyst at the Yole Group, presents the “Market and Technology Trends in Automotive ADAS” tutorial at the May...
The Yole Group Identifies and Explains Recent Trends in Industrial Machine Vision (Preview)
Просмотров 17День назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/recent-trends-in-industrial-machine-vision-challenging-times-a-presentation-from-the-yole-group/ Axel Clouet, Technology and Market Analyst for Imaging at the Yole Group, presents the “Recent Trends in Industrial Machine Vision: Challenging...
The MIPI Alliance Explores Camera Interface Standards for Embedded Vision Applications (Preview)
Просмотров 31День назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/camera-interface-standards-for-embedded-vision-applications-an-interview-with-the-mipi-alliance/ Haran Thanigasalam, Camera and Imaging Consultant for the MIPI Alliance, talks with Shung Chieh, Senior Vice President at Eikon Systems, for th...
Intel Discusses How to Identify and Mitigate Bias in AI (Preview)
Просмотров 19День назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/identifying-and-mitigating-bias-in-ai-a-presentation-from-intel/ Nikita Tiwari, AI Enabling Engineer for OEM PC Experiences in the Client Computing Group at Intel, presents the “Identifying and Mitigating Bias in AI” tutorial at the May 202...
GMAC Intelligence Shares AI Model Training Fundamentals for Computer Vision Applications (Preview)
Просмотров 5114 дней назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/the-fundamentals-of-training-ai-models-for-computer-vision-applications-a-presentation-from-gmac-intelligence/ Amit Mate, Founder and CEO of GMAC Intelligence presents the “Fundamentals of Training AI Models for Computer Vision Applications...
Au-Zone Technologies Introduces Semantic Segmentation (Preview)
Просмотров 2814 дней назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/an-introduction-to-semantic-segmentation-a-presentation-from-au-zone-technologies/ Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the M...
Au-Zone Technologies Shows How to Augment Visual AI through Radar and Camera Fusion (Preview)
Просмотров 3114 дней назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/augmenting-visual-ai-through-radar-and-camera-fusion-a-presentation-from-au-zone-technologies/ Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Augmenting Visual AI through Radar and Camer...
AMD Explores DNN Quantization, from Theory to Practice (Preview)
Просмотров 2614 дней назад
For the full version of this video, along with hundreds of others on various edge AI and computer vision topics, please visit www.edge-ai-vision.com/2024/08/dnn-quantization-theory-to-practice-a-presentation-from-amd/ Dwith Chenna, Member of the Technical Staff and Product Engineer for AI Inference at AMD, presents the “DNN Quantization: Theory to Practice” tutorial at the May 2024 Embedded Vis...
NXP Shows How to Leverage Neural Architecture Search for Efficient Edge Computer Vision (Preview)
Просмотров 4014 дней назад
NXP Shows How to Leverage Neural Architecture Search for Efficient Edge Computer Vision (Preview)
Cadence Gives an Introduction to Visual Simultaneous Localization and Mapping (VSLAM) (Preview)
Просмотров 6021 день назад
Cadence Gives an Introduction to Visual Simultaneous Localization and Mapping (VSLAM) (Preview)
Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor
Просмотров 54Месяц назад
Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor
NXP Semiconductors Demonstration of Smart Fitness with the i.MX 93 Apps Processor
Просмотров 73Месяц назад
NXP Semiconductors Demonstration of Smart Fitness with the i.MX 93 Apps Processor
NXP Semiconductors Demonstration of Quad Camera Object Detection with the i.MX 95 Apps Processor
Просмотров 96Месяц назад
NXP Semiconductors Demonstration of Quad Camera Object Detection with the i.MX 95 Apps Processor
NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller
Просмотров 123Месяц назад
NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller
e-con Systems Demonstration of Its Advanced Camera Solutions
Просмотров 97Месяц назад
e-con Systems Demonstration of Its Advanced Camera Solutions
VeriSilicon Demonstration of Its End-to-end Video Transcoding Semiconductor Solutions
Просмотров 27Месяц назад
VeriSilicon Demonstration of Its End-to-end Video Transcoding Semiconductor Solutions
VeriSilicon Demonstration of Its Comprehensive Silicon Solution and Edge AI Applications
Просмотров 45Месяц назад
VeriSilicon Demonstration of Its Comprehensive Silicon Solution and Edge AI Applications
Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA's Holoscan
Просмотров 446Месяц назад
Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA's Holoscan
VeriSilicon Demonstration of Its Secure, Low-power Machine Learning Solutions
Просмотров 82Месяц назад
VeriSilicon Demonstration of Its Secure, Low-power Machine Learning Solutions
Lumotive Demonstration of a Sensor Hub for LiDAR, Radar and Camera Fusion
Просмотров 172Месяц назад
Lumotive Demonstration of a Sensor Hub for LiDAR, Radar and Camera Fusion
Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition
Просмотров 215Месяц назад
Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition
Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm
Просмотров 270Месяц назад
Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm
Flex Logix Demonstration of Enabling High Performance AI Inference At the Edge
Просмотров 91Месяц назад
Flex Logix Demonstration of Enabling High Performance AI Inference At the Edge
Please make a kit for raspberry pi you will see mass adoption with these unit. If you want edge AI usage it has to be portable.
Has anyone attend live demo at the scene? How does Akida store the trained data and model locally?
How much are they? Can you guys work with Frigate NVR + Blue iris and it's codeproject AI to get at least the nvme, hopefully a usb (lots of us run micro pc's), but also these bigger cards if anywhere near affordable for our homelab servers. I'm guessing this one is extreme in price. Coral AI needs a bit more power, you guys seem to be the best competitor. Get something going and I reckon you'd get quite a lot of sales from home techies (our use case is object detection for up to 8 or more ip cameras, LLM's are gonna be too expensive for now). Look up home assistant too. There might be use cases in that too. Cool technology. Kudos for that.
So this is ML inference workfow on PolarFire ?
Great demo, and the presenter is very handsome!
😊
why was i recomended this at 2am? 🥕🥕🥕🥕🥕🥕🥕🥕🥕🥕
fairphone 5 uses the qcs6490 processor
Thank you form the presenter.
I get that the point was to demonstrate the board and not the software, but still, kinda embarrassing that it kept thinking that number 11 parking spot was taken because of the black line on the ground. Also, computer vision from literally 20 years ago is not that impressing anymore ;)
why did you think that chiplets processor making or sensor making would not work, instead of the higher fail rate monolithic chips.
I think Analog systems can perform image and motion processing, including calculations such as addition, subtraction, multiplication, division, and logarithms, sine and cosine according to the decomposition of Fourier columns into different functions. Faster than any digital systems as advanced as they may be. Including meter calculations and grades. and providing realistic solutions to multicollection equations.
🚀 🚀 🚀
Edge AI and Vision Alliance, amazing video keep it up bro
DISAGREE
Congratulations 🎊 I
Awesome!
Looks like the Genio 510 could help create fanless IoT devices. Quiet operation is always a plus. I think the mediatek chipset is a good one in terms of the performance!
The genio 510 is really good processor
Impressive specs on the just launched MediaTek Genio 510 too. From its powerful CPU to its versatile connectivity options, it seems it would pave the way for groundbreaking advancements in IoT and Edge AI.
They recently released the Genio 510 and its 6nm design packs a punch, offering great performance with low power consumption - perfect for battery-powered IoT devices.
Say goodbye to driver fatigue! This driver alertness tech with Dimensity Auto is a game-changer for road safety. Hearing about the AI cockpit collab for a longer time!!
Congratulations Kwabena and hope you make it to the next stage of the competition. I think you've set yourself up to be super successful by building something people really want and use in their products.
Hola me párese I interesante
Amazing work guys! Keeping this in mind when working on my next embedded + vision project! Hoping that you'll become the standard
Megusta
How to get such a ReRAM developing board?
Deep view
Tengo que hablar o leer en inglés?
Nice i think it recommendations were this embedded 😂😂 im still tripping bout you call me baboon u funny AI
can we connect to any MCU or processor?
Where can we buy these development prototype kits?
Very cool
Throw the Jetson in the trash and try the Brainchip development kit from VVDN
👍
No link to code?
hi. nice video.
Ho damn, things are going to get really crazy with these types of advancements
Which device were you E30/50/70? Does your toolchain supports easy integration of models imported from Keras, Tensorflow? I am looking for a solution that would allow me to integrate a CNN for object classification amongst other more basic functionalities of the system that wouldn't be cost-prohibitive like other solutions out there.
Can anyone share the name of the model used
Very exciting!
I have been invested for a long time. Unfortunately, I have a loss of almost 5 digits. No real information from the company what is coming. Very exhausting for shareholders. I am beginning to think that my investment was a big loss.
Nice.
Hi Shawn, May I have your schematic diagram of your connection? Regards.
so 800usec with this Ethos-U55, How much time the inference will last if we use esp32 CAM ?
Hello. Can you share images that you used in this project?
Which Image Sensor and ISP combination you are using?
nanomètre and after ? QUANTIQUE INTEGRATION