Dan Mihai Dumitriu, Chief Technology Officer at Midokura, a Sony Group company, presents the “Build a Tiny Vision Application in Minutes with the Edge App SDK” tutorial at the May 2024 Embedded Vision Summit. In the fast-paced world of embedded vision applications, moving rapidly from concept to deployment is crucial.… “Build a Tiny Vision Application […]
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Increasing traffic efficiency: By analyzing real-time traffic data, ITS can optimize traffic flow, reducing congestion and
Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0 Read More +
The IoT market is yet to see an “explosive growth” in TinyML. Is that due to inadequate hardware, ever-shifting software or not enough ML skills in the embedded community? What’s at stake: TinyML in embedded systems can be implemented many ways, often by leveraging beefed-up MCUs, DSPs, AI accelerators and Neural Processing Units (NPUs). The
Can Ceva Ignite the Yet-to-explode TinyML Market? Read More +
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… “Intel’s Approach to Operationalizing AI
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… “Transforming Enterprise Intelligence: The Power
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… “Challenges and Solutions of Moving
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… “A Cutting-edge Memory Optimization Method
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… “Implementing Transformer Neural Networks for
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