www.design-reuse-embedded.com
Find Top SoC Solutions
for AI, Automotive, IoT, Security, Audio & Video...

Imagination launches multi-core IMG Series4 NNA - the ultimate AI accelerator delivering industry-disruptive performance for ADAS and autonomous driving

Offering the most responsive and power efficient neural network acceleration for next-generation automotive use cases

London, England – 12th November 2020Imagination Technologies announces IMG Series4, its next-generation neural network accelerator (NNA) for advanced driver-assistance systems (ADAS) and autonomous driving. Series4 targets automotive industry-leading disruptors as well as Tier 1s, original equipment manufacturer (OEMS) and automotive semiconductor system-on-chip (SoC) manufacturers.

Featuring a new multi-core architecture, Series4 delivers ultra-high performance of 600 tera operations per second (TOPS) and beyond, offering low bandwidth and exceptionally low latency for large neural network workloads.

The automotive industry is on the cusp of a revolution, with new use cases such as self-driving cars and robotaxis demanding new levels of artificial intelligence (AI) performance. To that end, Imagination is already working with leading players and innovators in automotive, and other industries where functional safety is valued. Series4 has already been licensed and will be available on the market in December 2020.

Imagination’s low-power NNA architecture is designed to run full network inferencing while meeting functional safety requirements. It executes multiple operations in a single pass to maximise performance per watt and deliver its industry-leading energy efficiency.



AI accelerator IP Cores

Series4 includes:

James Hodgson, Principle Analyst, Smart Mobility and Automotive, ABI Research, says; “While we expect the demand for ADAS to triple by around 2027 the automotive industry is already looking beyond this to full self-driving cars and robotaxis. Wider adoption of neural networks will be an essential factor in the evolution from Level 2 and 3 ADAS, to full self-driving at Level 4 and Level 5. These systems will have to cope with hundreds of complex scenarios, absorbing data from numerous sensors, such as multiple cameras and LiDAR, for solutions such as automated valet parking, and intersection management and safely navigating complex urban environments. A combination of high performance, low latency and energy efficiency will be key to scaling highly automated driving.”

Andrew Grant, Senior Director, Artificial Intelligence, Imagination Technologies, says; “We believe the Series4 NNA to be the industry-standard platform for the development of advanced driver assistance and self-driving cars. Innovators are already tackling the task of creating the silicon that will support the next generation of ADAS features and autonomous vehicles. Any company or R&D team looking to be a serious player in automotive needs to be integrating this technology into their platforms now.”

To find out more about the Series4 NNA, watch our keynote session here.

About Imagination Technologies
Imagination is a UK-based company that creates silicon and software intellectual property (IP) designed to give its customers an edge in a competitive global technology market. Its graphics, compute, vision & AI, and connectivity technologies enable outstanding power, performance and area (PPA), robust security, fast time-to-market and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their phones, cars, homes, and workplaces. Imagination Technologies was acquired in 2017 by Canyon Bridge, a global private equity investment fund. See www.imaginationtech.com.

Imagination launches multi-core IMG Series4 NNA - the ultimate AI accelerator delivering industry-disruptive performance for ADAS and autonomous driving

 Back

Partner with us

 

List your Products

Suppliers, list and add your products for free.

More about D&R Privacy Policy

© 2020 Design And Reuse

All Rights Reserved.

No portion of this site may be copied, retransmitted, reposted, duplicated or otherwise used without the express written permission of Design And Reuse.