Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
Alliance Website Videos
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“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors
James Prior, Senior Product Manager at NXP Semiconductors, presents the “Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision” tutorial at the May 2024 Embedded Vision Summit. Machine vision is the most obvious way to help humans live better, enabling hundreds of applications spanning security, monitoring, inspection… “Efficiency Unleashed: The Next-gen NXP
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“Optimized Vision Language Models for Intelligent Transportation System Applications,” a Presentation from Nota AI
Tae-Ho Kim, Co-founder and CTO of Nota AI, presents the “Optimized Vision Language Models for Intelligent Transportation System Applications” tutorial at the May 2024 Embedded Vision Summit. In the rapidly evolving landscape of intelligent transportation systems (ITSs), the demand for efficient and reliable solutions has never been greater. In this… “Optimized Vision Language Models for
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“Image Signal Processing Optimization for Object Detection,” a Presentation from Nextchip
Young-Jun Yoo, Executive Vice President at Nextchip, presents the “Image Signal Processing Optimization for Object Detection” tutorial at the May 2024 Embedded Vision Summit. This talk delves into the challenges and optimization strategies in image signal processing (ISP) for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples,… “Image Signal Processing Optimization for
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“Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs,” a Presentation from Lattice Semiconductor and Etron Technology America
Hussein Osman, Segment Marketing Director at Lattice Semiconductor, and Richard Crisp, Vice President and Chief Scientist at Etron Technology America, co-presents the “Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs” tutorial at the May 2024 Embedded Vision Summit. Attaining the lowest power,… “Squeezing the Last Milliwatt and
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“Maximize Your AI Compatibility with Flexible Pre- and Post-processing,” a Presentation from Flex Logix
Jayson Bethurem, Vice President of Marketing and Business Development at Flex Logix, presents the “Maximize Your AI Compatibility with Flexible Pre- and Post-processing” tutorial at the May 2024 Embedded Vision Summit. At a time when IC fabrication costs are skyrocketing and applications have increased in complexity, it is important to… “Maximize Your AI Compatibility with
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“Addressing Tomorrow’s Sensor Fusion and Processing Needs with Cadence’s Newest Processors,” a Presentation from Cadence
Amol Borkar, Product Marketing Director at Cadence, presents the “Addressing Tomorrow’s Sensor Fusion and Processing Needs with Cadence’s Newest Processors” tutorial at the May 2024 Embedded Vision Summit. From ADAS to autonomous vehicles to smartphones, the number and variety of sensors used in edge devices is increasing: radar, LiDAR, time-of-flight… “Addressing Tomorrow’s Sensor Fusion and
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transformer,” a Presentation from BrainChip
Chris Jones, Director of Product Management at BrainChip, presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit. The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent… “Temporal Event Neural Networks: A
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“Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!),” a Presentation from BDTI
Phil Lapsley, Co-founder and Vice President of BDTI, presents the “Silicon Slip-ups: The Ten Most Common Errors Processor Suppliers Make (Number Four Will Amaze You!)” tutorial at the May 2024 Embedded Vision Summit. For over 30 years, BDTI has provided engineering, evaluation and advisory services to processor suppliers and companies… “Silicon Slip-ups: The Ten Most
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“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision,” a Presentation from Axelera AI
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit. As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability… “How Axelera AI Uses Digital
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“How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge,” a Presentation from Arm
Stephen Su, Senior Segment Marketing Manager at Arm, presents the “How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge” tutorial at the May 2024 Embedded Vision Summit. AI at the edge has been transforming over the last few years, with newer use cases running more efficiently and securely.… “How Arm’s Machine Learning Solution