After years of development, numerous hurdles, and uncountable unfulfilled promises, it looks like the robotaxi industry is finally taking shape. Over the past couple of years, IDTechEx has reported on the emergence of commercial robotaxi services but has always needed to caveat this with the fact that they have been heavily restricted. There would always […]
Autonomous Vehicle Industries Now and In 10 Years Read More +
LETTER FROM THE EDITOR Dear Colleague, If your company introduced a building-block product enabling computer vision or edge AI in 2024, we hope you’ll consider entering it in the 2025 Edge AI and Vision Product of the Year Awards competition! These Awards, open only to Alliance Member companies, give the winners industry-wide recognition as top
Edge AI and Vision Insights: November 20, 2024 Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autonomous vehicles, such as warehouse robots, rely on precise maneuvering. NVIDIA Jetson AGX Orin™-powered surround-view cameras provide a perfectly synchronized solution, allowing these robots to move freely within designated areas without requiring intensive manual intervention.
How NVIDIA Jetson AGX Orin Helps Unlock the Power of Surround-view Camera Solutions Read More +
The sensor technology landscape is rapidly evolving, driven by societal shifts and technological advancements. As we look towards 2035, the demand for sensors is expected to grow significantly across various sectors, including automotive, industrial, healthcare, consumer electronics, and environmental monitoring. This article explores the key trends and innovations in sensor technology, drawing insights from IDTechEx’s
The Future of Sensor Technology Read More +
In the rapidly evolving world of semiconductors, chiplet technology is emerging as a groundbreaking approach that addresses many of the challenges faced by traditional monolithic System-on-Chip (SoC) designs. As Moore’s Law slows down, the semiconductor industry is seeking innovative solutions to increase performance and functionality without merely increasing transistor density, as detailed in the IDTechEx
Chiplets: Revolutionizing Semiconductor Design and Manufacturing Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In this blog post, we take a closer look at chunked prefill, a feature of NVIDIA TensorRT-LLM that increases GPU utilization and simplifies the deployment experience for developers. This builds on our previous post discussing how advanced
This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Over the past several years, with strong advances in technology, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become available in highly compact chipsets. These chipsets have been adopted across vision solutions including low power wearable
Developing and Deploying Vision-based Multi-camera Solutions Read More +
The future of the automotive industry is heading towards the acceptance of automation and the enforcement of electrification, with IDTechEx‘s latest report, Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts covering all the latest and future developments. Despite the crossover of these two phenomena becoming increasingly present within the automotive industry, automation and electrification individually offer
Autonomy and Eliminating Emissions – Exploring the Automotive Future Read More +
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a state-of-the-art sensor designed to capture data for an autonomous vehicle. The excitement quickly turns to anxiety as you realize the
Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds Read More +
PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms CHANDLER, Ariz., November 14, 2024 — To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has released its PolarFire® FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform. PolarFire FPGAs enable multi-protocol
Microchip to Accelerate Real-time Edge AI with NVIDIA Holoscan 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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