News highlights: AiM Future secures multi-million dollars in new Series A funding. Round led by L&S Venture Capital, Hi Investment Partners, Daedeok Venture Partners and existing investors KB Investments and WE Ventures. New funds to help scale engineering and go-to-market teams in South Korea and the United States. Product will be available for purchase from […]
AiM Future Successfully Closes Series A Round of Investment Read More +
Evan Stoddard, Advanced Applications Group Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Stoddard demonstrates Avnet’s RZ board for energy-efficient AI acceleration, featuring the Renesas RZ/V2L processor. In the demo, various AI/ML models are executed on the energy-efficient DRP-AI accelerator
Peter Fenn, Advanced Applications Group Director at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Fenn demonstrates why Avnet’s compact, embeddable RASynBoard module is an ideal solution for battery powered, edge-AI applications requiring always-on sound and sensor fusion processing. Based on the Syntiant NDP120
Avnet Demonstration of RASynBoard, a Low-power, Always-on, Edge AI Smart Sensor Module Read More +
Won Eui Hong, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Hong demonstrates how Nota AI’s NetsPresso AutoML solutions enable machine learning at the edge on Arm platforms. It is very critical to enable a vibrant machine
Henrik Flodell, Senior Marketing Director at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Flodell demonstrates battery-powered embedded vision and machine learning at the edge with Arm’s Cortex-M55 and Alif Semiconductor’s Ethos-U55. Machine learning at the edge is going to
Zafer Zamboglu, Senior Director for Tools, Software and Solutions at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Zamboglu demonstrates Analog Devices’ various microcontrollers (MCUs). Analog Devices’ MCUs can be used in many Internet of Things (IoT) processing applications. They allow analog and
Analog Devices Demonstration of Its Microcontroller Product Line Read More +
Mehmet Görkem Ülkar, Principal Engineer for AI and Software at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Ülkar demonstrates Analog Devices’ MAX78002 AI-optimized microcontroller. The MAX78002 is an advanced system-on-chip featuring an Arm Cortex-M4 with FPU CPU for efficient system control, along
Navdeep Dhanjal, Executive Business and Product Manager for AI Microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Dhanjal demonstrates Analog Devices’ MAX78000 AI-optimized microcontroller. The MAX78000 is an advanced system-on-chip featuring an Arm Cortex-M4 with FPU CPU for efficient system control,
Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates (“Faster Objects, More Objects”), a novel machine learning algorithm that brings object detection to highly constrained devices. FOMO lets you count objects, find the location of
Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest whitepaper shows that a new floating-point format doesn’t measure up to integer when you’re quantizing AI models to run on edge devices Artificial intelligence (AI) has become pervasive in our lives, improving our phones, cars,
Floating-point Arithmetic for AI Inference: Hit or Miss? 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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