Software

“Challenges in Architecting Vision Inference Systems for Transformer Models,” a Presentation from Flex Logix

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Cheng Wang, Co-founder and CTO of Flex Logix, presents the “Challenges in Architecting Vision Inference Systems for Transformer Models” tutorial at the May 2023 Embedded Vision Summit. When used correctly, transformer neural networks can deliver greater accuracy for less computation. But transformers are challenging for existing AI engine architectures because they use many compute functions […]

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“Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform,” a Presentation from DeGirum

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Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, presents the “Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform,” tutorial at the May 2023 Embedded Vision Summit. In this talk, Chilappagari presents an overview of the DeGirum DeLight Cloud Platform, which accelerates the edge AI application development process by bringing together

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“Tensilica Processor Cores Enable Sensor Fusion for Robust Perception,” a Presentation from Cadence

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Amol Borkar, Product Marketing Director at Cadence, presents the “Tensilica Processor Cores Enable Sensor Fusion for Robust Perception” tutorial at the May 2023 Embedded Vision Summit. Until recently, the majority of sensor-based AI processing used vision and speech inputs. Recently, we have begun to see radar, LiDAR, event-based image sensors and other types of sensors

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Automatically Measuring Soccer Ball Possession with AI and Video Analytics

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This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The World Cup is just around the corner and in Tryolabs everybody is excited to have their national team compete. As the teams prepare for the event, they more than ever rely on AI-assisted sports analytics for inspecting

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CB Insights Selected Visionary.ai Out of 9,000 Companies As One of the 100 Most Promising Private AI Companies In the World

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June 22, 2023 – This is the seventh year CB Insights has recognized the most promising artificial intelligence companies. “This year’s AI 100 cohort are developing game-changing innovations that meaningfully impact the world around them,” said Brian Lee, SVP of CB Insights’ Intelligence Unit. “From healthcare to climate tech, we’ve seen incredibly novel applications of

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“Enabling Ultra-low Power Edge Inference and On-device Learning with Akida,” a Presentation from BrainChip

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Nandan Nayampally, Chief Marketing Officer at BrainChip, presents the “Enabling Ultra-low Power Edge Inference and On-device Learning with Akida” tutorial at the May 2023 Embedded Vision Summit. The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, Nayampally shows how BrainChip’s

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Qualcomm at CVPR 2023: Advancing Research and Bringing Generative AI to the Edge

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ControlNet running entirely on device, fitness coaching with an LLM, 3D reconstruction for XR, our accepted papers and much more The annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is regarded as one of the

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“Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability,” a Presentation from Avnet

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Peter Fenn, Director of the Advanced Applications Group at Avnet, presents the “Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability” tutorial at the May 2023 Embedded Vision Summit. The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low

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“Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs,” a Presentation from Arm

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Stephen Su, Senior Product Manager at Arm, presents the “Sparking the Next Generation of Arm-based Cloud-native Smart Camera Designs” tutorial at the May 2023 Embedded Vision Summit. As enterprises and consumers increasingly adopt machine learning-enabled smart cameras, the expectations of these end users are becoming more sophisticated. In particular, smart camera users increasingly expect their

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“Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator,” a Presentation from Analog Devices

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Gorkem Ulkar, Principal ML Engineer at Analog Devices, presents the “Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator” tutorial at the May 2023 Embedded Vision Summit. In this talk, Ulkar presents alternative and more efficient methods of processing raw camera images using neural network accelerators. He begins by introducing Analog Devices’ convolutional neural

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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