Welcome to the second in a series of articles where we explore how Imagination and Humanising Autonomy, a UK-based AI behaviour company, are teaming up to deliver practical, real-world AI-driven active safety. This time we talk to Ron Pelley, Vice President, Commercial at Humanising Autonomy about their mission, mantras, and the unlikely meeting that started it all.
This article presents a flexible and general optimisation scheme for converting floating-point networks using Variable Bit Depth (VBD) compression as a step towards efficient, low-power inference.
Welcome to the first in a series of articles where we explore how Imagination and Humanising Autonomy, a UK-based behaviour AI company, are teaming up to deliver practical, real-world AI-driven active safety. We have talked at length about the steps that Imagination takes every day to make our world safer with automotive AI. Today we see advanced driver assistance systems (ADAS) that have AI at their core. From simple, dynamic satnav route planning, through lane keep assist, to full autonomous driving stacks, drivers are gradually becoming equipped with more ways than ever to take the stress out of their journeys.
Designers of neural network accelerator (NNA) IP have a Herculean task on their hands: making sure that their product is sufficiently general to apply to a very wide range of current and future applications, whilst guaranteeing high performance. In the mobile, automotive, data centre and embedded spaces targeted by Imagination’s cutting-edge IMG Series4 NNAs, there even more stringent constraints on bandwidth, area and power consumption. The engineers at Imagination have found innovative ways to address these daunting challenges and deliver ultra-high-performance and future-proof IP.
Inside every A-Series, from the smallest to the very largest are eight individual hardware control lanes, each isolated in memory, enabling different tasks to be submitted to the GPU simultaneously, for fully secure GPU multitasking. We call it HyperLane Technology.
Kynisys is a new AI marketplace for edge compute that offered toolsets and all the building blocks that an edge AI system integrator needs. It’s an easy-to-use platform to create, test and deploy edge AI in less than a day; putting the power in the hands of those who have to solve “edge problems”.
Coming away from CES this year one thought filled my head: the robots are coming! Having walked around the floor of this enormous show I saw enough to convince me that the 1950s vision of the robot in your house ready to do the chores isn’t quite as far-fetched as it once was. That’s not to say we’ll have C3PO or Kryten available to order next year of course; things will start a little smaller and rounder.
If you’re looking for a single example of jaw-dropping tech at CES then it was hard to see past “The Wall” at the Samsung booth. I mean that quite literally. It’s so big, it’s very difficult to see past it. It’s not called “The Wall” for nothing. The Wall is Samsung’s Micro-LED display that’s 292in tall – or 3.6m high – as big as a small cinema.
When it comes to technology there is usually hype. How many times has ‘the next big thing’ turned out to be the ‘next big fail’,
“We tend to think of technological advances as destroying what’s gone before, but that doesn’t usually happen. This could lead to a different way of
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