Nate D’Amico, CTO and Head of Product at MetaConsumer, presents the “Adventures in Moving a Computer Vision Solution from Cloud to Edge” tutorial at the May 2024 Embedded Vision Summit. Optix is a computer vision-based AI system that measures advertising and media exposures on mobile devices for real-time marketing optimization.… “Adventures in Moving a Computer […]
Adel Ahmadyan, Staff Engineer at Meta Reality Labs, presents the “Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models” tutorial at the May 2024 Embedded Vision Summit. In this talk, Ahmadyan explores the use of multimodal large language models in real-world edge applications. He begins by explaining… “Bridging Vision and Language: Designing,
Karthick Kumaran Ayyalluseshagiri Viswanathan, Staff Software Engineer at Meta, presents the “Using MIPI CSI to Interface with Multiple Cameras” tutorial at the May 2024 Embedded Vision Summit. As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras.… “Using MIPI CSI to Interface
“Using MIPI CSI to Interface with Multiple Cameras,” a Presentation from Meta Read More +
Harish Venkataraman, Depth Cameras Architecture and Tech Lead at Meta, presents the “Introduction to Depth Sensing” tutorial at the May 2024 Embedded Vision Summit. We live in a three-dimensional world, and the ability to perceive in three dimensions is essential for many systems. In this talk, Venkataraman introduced the main… “Introduction to Depth Sensing,” a
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Neil Trevett, President of the Khronos Group, presents the “Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards” tutorial at the May 2024 Embedded Vision Summit. Offloading processing to accelerators enables embedded vision systems to process workloads that exceed the capabilities of CPUs. However, parallel processors add complexity as… “Advancing Embedded Vision Systems: Harnessing
Phil Koopman dissects strengths and weaknesses of machine learning based AI AI does amazing stuff. No question about it. But how hard have we really thought about “machine-learning capabilities” for applications? Phil Koopman, professor at Carnegie Mellon University, delivered a keynote on Sept. 11, 2024 at the Business of Semiconductor Summit, (BOSS 2024), concentrating on
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Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the
Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Manninen demonstrates his company’s Temporal Event-Based Neural Network (TENN) foundational large language model with 330M parameters, augmented with a Retrieval-Augmented Generative (RAG) output to replace user
BrainChip Demonstration of LLM-RAG with a Custom Trained TENNs Model Read More +
Pedro Pachuca, CEO at Advex AI, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Pachuca demonstrates Advex’s ability to ingest just 10 images and produce thousands of labeled, synthetic images in just hours. These synthetic images cover the distribution of variations
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Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency” tutorial at the May 2024 Embedded Vision Summit. A cloud-to-edge deep learning pipeline is a fully automated conduit for training and deploying models to the edge. This enables quick model retraining and makes the solution more
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