Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit. AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is […]
Leila Sabeti, Americas AI Technical Sales Lead at Intel, presents the “Transforming Enterprise Intelligence: The Power of Computer Vision and Gen AI at the Edge with OpenVINO” tutorial at the May 2024 Embedded Vision Summit. In this talk, Sabeti focuses on the transformative impact of AI at the edge, highlighting the role of the OpenVINO
Costas Calamvokis, Distinguished Engineer at Expedera, presents the “Challenges and Solutions of Moving Vision LLMs to the Edge” tutorial at the May 2024 Embedded Vision Summit. OEMs, brands and cloud providers want to move LLMs to the edge, especially for vision applications. What are the benefits and challenges of doing so? In this talk, Calamvokis
Arnaud Collard, Technical Leader for Embedded AI at 7 Sensing Software, presents the “Cutting-edge Memory Optimization Method for Embedded AI Accelerators” tutorial at the May 2024 Embedded Vision Summit. AI hardware accelerators are playing a growing role in enabling AI in embedded systems such as smart devices. In most cases NPUs need a dedicated, tightly
Shang-Hung Lin, Vice President of Neural Processing Products at VeriSilicon, presents the “Implementing Transformer Neural Networks for Visual Perception on Embedded Devices” tutorial at the May 2024 Embedded Vision Summit. Transformers are a class of neural network models originally designed for natural language processing. Transformers are also powerful for visual perception due to their ability
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 and more. Modern edge processors
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 presentation, Kim shows how an
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, Yoo explores the critical role
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, size and cost for a
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 minimize design risks and maximize
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