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 […]
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. (Ai)Daptive XR empowers students through real-time personalization and collaborative learning Envisioning the future of education, and the art of learning overall, is nothing new. Over 120 years ago, French artist Jean-Marc Côté suggested how learning may look
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
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. MEMS Studio now supports ST’s intelligent sensor processing units (ISPUs) like the ISM330ISN and ISM330IS. The tool is ST’s most extensive visualization, evaluation, profiling, processing, and optimization software for machine learning applications running on our sensors. It
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
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools
Decoding How NVIDIA AI Workbench Powers App Development Read More +
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
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