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 […]
When, Where and How AI Should Be Applied Read More +
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
Advex AI Demonstration of Accelerating Machine Vision with Synthetic AI Data Read More +
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… “Testing Cloud-to-Edge Deep Learning Pipelines:
John Weber, Business Development Engineer at TechNexion, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Weber demonstrates modular camera products as well as eight framesync cameras using an EDM-IMX95. EDM—IMX95 is an upcoming product in TechNexion’s EDM pin-to-pin product portfolio which
TechNexion Demonstration of Eight Framesync Cameras with the NXP i.MX95 Read More +
Levon Budagyan, CEO of Waveye, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Budagyan demonstrates his company’s ultra-high resolution LIR imaging technology, focused on key robotics applications: Robust, privacy-preserving human detection for robots 4D microwave imaging in high resolution for indoor
Waveye Demonstration of Ultra-high Resolution LIR Imaging Technology Read More +
David Scott, Senior Machine Learning Engineer at Instacart, presents the “Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart” tutorial at the May 2024 Embedded Vision Summit. In this talk, Scott explores deploying an embedded computer vision model on Android devices for real-time product classification with the… “Real-time Retail Product Classification on
Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a UHD camera reference design based on the company’s APACHE_U ISP in conjunction with an 8 Mpixel image sensor from fellow Alliance Member company Samsung.
Nextchip Demonstration of a UHD Camera Reference Design Based On Its APACHE_U ISP Read More +
James Jeffs, Senior Technology Analyst at IDTechEx, presents the “Future Radar Technologies and Applications” tutorial at the May 2024 Embedded Vision Summit. Radar has value in a wide range of industries that are embracing automation, from delivery drones to agriculture, each requiring different performance attributes. Autonomous vehicles are perhaps one… “Future Radar Technologies and Applications,”
“Future Radar Technologies and Applications,” a Presentation from IDTechEx Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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