Running in the background to the more visible, very real wars occurring around the world at present, there is another, economic and industrial in nature. This is a trade war between two principals: the USA and China. The potential consequences of this trade war are incredibly significant to global geopolitics, as how the interaction between […]
Chips as Currency: America, China, and the AI Race Read More +
Louis Gobin, AI Product Marketing Engineer at STMicroelectronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Gobin demonstrates the work of Seeed, using STMicroelectronics and NVIDIA solutions. Gobin shows the Seeed Wio Lite AI board based on a STM32H7 microcontroller. The STM32H7 runs a real-time
STMicroelectronics Demonstration of the Cube.ai Developer Cloud, from TAO to STM32 Read More +
Ruchi Upadhyay, Technical Marketing Manager at STMicroelectronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Upadhyay demonstrates STMicroelectronics’ new 0.6M pixel global shutter smart image sensor, capable of offloading some MCU workloads. The sensor features intelligence on-chip to deliver 3 key features: autonomous wake up
For more information, visit https://www.idtechex.com/en/research-report/ai-chips-for-edge-applications-2024-2034-artificial-intelligence-at-the-edge/956. The global AI chips market for edge devices will grow to US$22.0 billion by 2034, with the three largest industry verticals at that time being Consumer Electronics, Industrial, and Automotive. Artificial Intelligence (AI) is already displaying significant transformative potential across a number of different applications, from fraud detection in high-frequency
AI Chips for Edge Applications 2024-2034: Artificial Intelligence at the Edge Read More +
Miki Peer, founder and CEO of Innowave, demonstrates the company’s latest edge AI and vision technologies and products in NXP Semiconductors’ booth at the 2023 Embedded Vision Summit. Specifically, Peer demonstrates camera module integration using NXP’s i.MX 8M Plus SoC along with a Sony IMX258 13 Mpixel image sensor. Innowave calibrated and tuned the integrated
Anthony Huereca, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Huereca demonstrates AI functions running on NXP’s low-power microcontrollers (MCUs). NXP’s new MCX N MCU, which includes the NXP-developed eIQ Neutron NPU, delivers an approximately 40x inference performance improvement when
NXP Demonstration of AI Functions Implemented on Low-power MCX and RT Microcontrollers Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole SystemPlus analyzes the M2 Pro System-on-Chip, with insights into the technology advances, manufacturing, packaging and consumer price of Apple’s upgraded, second-generation silicon. OUTLINE The M2 series uses the next-generation Avalanche and
The M2 Pro SoC, Apple’s Path of Innovative Advancements Read More +
Michael Pontikes, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Pontikes demonstrates unique features of the new i.MX 93 applications processor. This latest processor from NXP Semiconductors, continuing the company’s long legacy of i.MX applications processors, features the Arm Ethos
YooChan Kim, Product Marketing Manager at Nota America Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kim demonstrates Nota ITS, a lightweight AI model-based approach for traffic analysis and revolutionizing intelligent transportation systems. Nota ITS includes AI Traffic Cameras, AI Traffic Signal Control, AI
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. LED flicker can impact the performance of embedded vision systems. To address this, LED Flicker Mitigation (LFM) is crucial for applications like AMRs, ADAS, fleet management systems, etc. In this blog post, you’ll learn more
What is LED Flicker Mitigation and Why is It a Critical Camera Feature? 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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