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 […]
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
Automatically Measuring Soccer Ball Possession with AI and Video Analytics Read More +
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
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
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
Qualcomm at CVPR 2023: Advancing Research and Bringing Generative AI to the Edge Read More +
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
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
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
Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Five Things You Might Overlook on Your Next Vision-enabled Product Design” tutorial at the May 2023 Embedded Vision Summit. When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it
Judd Heape, VP of Product Management for Camera, Computer Vision and Video Technology at Qualcomm Technologies, presents the “Develop Next-gen Camera Apps Using Snapdragon Computer Vision Technologies” tutorial at the May 2023 Embedded Vision Summit. The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices
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