Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
Ambarella Redefines Edge AI Performance with Cadence
This blog post was originally published at Cadence’s website. It is reprinted here with the permission of Cadence. Ambarella stands at the forefront of edge AI processing, pioneering low-power, high-performance systems on chip (SoCs) that
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges
Artificial Intelligence (AI) As the Semiconductor Growth Engine: AI White Paper Volume 1 – Memory & Computing
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group Launches its First AI White Paper. KEY TAKEAWAYS Compute at
Vision Components Presents VC MIPI Multiview Cam: MIPI CSI-2-based Camera for Light Field Measurement and Multispectral Imaging
VC MIPI Multiview Cam is a new OEM module for light field measurements, multiview and multispectral imaging from Vision Components. It can be connected to common processor boards via a single MIPI CSI-2 interface. Ettlingen,
Using the Qualcomm AI Inference Suite from Google Colab
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Building off of the blog post here, which shows how easy it is to call the Cirrascale AI Inference
“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI
Rakshit Agrawal, Principal AI Scientist at Synthpop AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2025 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by
How Do Speed Cameras Make the Roads Safer?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Speed cameras play a crucial role in promoting safer roads. They can detect, capture, and
“Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond,” an Interview with Stanford University
Walter Greenleaf, Neuroscientist at Stanford University’s Virtual Human Interaction Lab, talks with Tom Vogelsong, Start-Up Scout at K2X Technology and Life Science for the “Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare
Qualcomm to Acquire Arduino—Accelerating Developers’ Access to its Leading Edge Computing and AI
New Arduino UNO Q and Arduino App Lab to Enable Millions of Developers with the Power of Qualcomm Dragonwing Processors Highlights: Acquisition to combine Qualcomm’s leading-edge products and technologies with Arduino’s vast ecosystem and community
Technologies
Ambarella Redefines Edge AI Performance with Cadence
This blog post was originally published at Cadence’s website. It is reprinted here with the permission of Cadence. Ambarella stands at the forefront of edge AI processing, pioneering low-power, high-performance systems on chip (SoCs) that power a new generation of smart devices. Ambarella’s mission is to enable intelligence at the edge, from automotive systems that
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying
Artificial Intelligence (AI) As the Semiconductor Growth Engine: AI White Paper Volume 1 – Memory & Computing
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group Launches its First AI White Paper. KEY TAKEAWAYS Compute at the limit: Training and inference workloads now demand gigawatts of electricity, raising urgent questions on sustainability, cost, and infrastructure capacity.
Applications
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying
How Do Speed Cameras Make the Roads Safer?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Speed cameras play a crucial role in promoting safer roads. They can detect, capture, and record instances of speeding. Get insights into how these cameras work and their major road safety use cases. Managing road
“Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond,” an Interview with Stanford University
Walter Greenleaf, Neuroscientist at Stanford University’s Virtual Human Interaction Lab, talks with Tom Vogelsong, Start-Up Scout at K2X Technology and Life Science for the “Virtual Reality, Machine Learning and Biosensing Advances Converging to Transform Healthcare and Beyond” interview at the May 2025 Embedded Vision Summit. In this wide-ranging interview, Greenleaf… “Virtual Reality, Machine Learning and
Functions
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying
How Do Speed Cameras Make the Roads Safer?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Speed cameras play a crucial role in promoting safer roads. They can detect, capture, and record instances of speeding. Get insights into how these cameras work and their major road safety use cases. Managing road
“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq
Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Understanding Human Activity from Visual Data” tutorial at the May 2025 Embedded Vision Summit. Activity detection and recognition are crucial tasks in various industries, including surveillance and sports analytics. In this talk, Javan provides an in-depth exploration of human activity understanding,… “Understanding Human Activity from Visual
