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Unveiling BYOM and the Edge Impulse Python SDK

We launched Edge Impulse to help developers and companies embed data-driven machine learning algorithms into physical devices, bridging the gap between technology and real life. I’m in awe every day of the incredible products our customers are building — like Oura, who are improving lives with best-in-class sleep tracking, and Advantech, who have unlocked extreme […]

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DeGirum Demonstration of Machine Learning Model Multiplexing on ORCA

Shashi Chilappagari, Co-Founder and Chief Architect at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the March 2023 Edge AI and Vision Innovation Forum. Specifically, Chilappagari demonstrates machine learning model multiplexing on the company’s ORCA AI hardware accelerator. Developing real-world edge AI applications often requires using multiple machine learning (ML)

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DeGirum Demonstration of Its DeLight Cloud Platform for Edge AI Development

Shashi Chilappagari, Co-Founder and Chief Architect at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the September 2022 Edge AI and Vision Innovation Forum. Specifically, Chilappagari demonstrates the company’s DeLight platform, which provides cloud access to edge AI hardware to accelerate application development. DeLight enables developers to prototype AI applications

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Develop AI-Powered Robots, Smart Vision Systems, and More with NVIDIA Jetson Orin Nano Developer Kit

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI-powered robots, smart drones, and intelligent vision systems, as NVIDIA announced at NVIDIA GTC 2023. It also simplifies getting started with the NVIDIA

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STM32Cube.AI and NVIDIA TAO Toolkit Deliver a 10x Performance Increase on an STM32H7 Running Vision AI

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. NVIDIA announced today TAO Toolkit 5, which now supports the ONNX quantized format, thus opening STM32 engineers to a new way of building machine learning applications by making the technology more accessible. The ST demo featured an

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TI Unlocks Scalable Edge AI Performance in Smart Camera Applications with New Vision Processor Family

Designers can easily and affordably add vision and AI processing for up to 12 cameras in building, industrial and retail automation applications DALLAS, March 15, 2023 /PRNewswire/ — To build on innovations that advance intelligence at the edge, Texas Instruments (TI) (Nasdaq: TXN) today introduced a new family of six Arm® Cortex®-based vision processors that allow

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RASynBoard Brings Low-power, Edge AI Processing to Embedded Sensor Applications

Avnet offers compact sensor module and development kit for always-on sensing March 7, 2023 – PHOENIX – The RASynBoard development kit from Avnet (Nasdaq: AVT) can help hardware and software design engineers and embedded AI developers quickly adopt edge AI capabilities into their products, making them more efficient, accurate and reliable. It was created in

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Imagination Launches Its First Edge AI Course

Introducing edge AI principles and practices through comprehensive materials and hands-on exercises London, England – 9th March 2023 – Imagination Technologies launches a new course on edge AI for undergraduate students as part of its Imagination University Program (IUP). Titled “Edge AI: Principles and Practices”, the course features a wealth of materials and hands-on exercises, enabling

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Enhanced Teledyne FLIR Prism AI Detection and Tracking Software Model Enables Embedded Thermal Automotive Perception Systems

Trained and validated on more than 2.3M multi-spectrum annotations, the new compact Prism AI model improves inference performance for perception development GOLETA, Calif. February 28, 2023 ― Teledyne FLIR, part of Teledyne Technologies Incorporated, today announced a new Prism AI release featuring a compact AI model for simplified deployment on embedded systems. The new release further enables perception

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World’s First On-device Demonstration of Stable Diffusion On an Android Phone

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research deploys a popular 1B+ parameter foundation model on an edge device through full-stack AI optimization Foundation models are taking the artificial intelligence (AI) industry by storm. A foundation model is a large neural network

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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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