CES 2020 Highlights New Automotive Tech


Another year, another Consumer Electronics Show (CES) packed with innovative technology. In the many years I’ve been coming to the show, I’ve seen it evolve from a launchpad for the year’s mainstream devices – televisions, laptops, smartphones – to encompass all manner of smart devices within the home and beyond. As the head of automotive at Arm, it’s that ‘beyond’... » read more

Engineering AI To Be Ethical By Design


I joined Arm because of its amazing people and world-class technology. But while I’m constantly excited by the possibilities of what we can achieve, as Arm’s General Counsel I must also consider the potential harm our designs might cause if they don’t perform in the way we expect, or were put to a use we did not intend. That dilemma comes to the forefront when I think about artificial... » read more

Scalable Platforms For Evolving AI


Wear and tear on big, heavy vehicles such as trains can cause unexpected delays and repairs, not to mention create safety hazards that can go unnoticed for months until they become critical. In the past, maintenance teams personally examined the undercarriage of a locomotive to look for stress cracks and other anomalies. Later, imaging and sonar technologies were introduced to find what the hum... » read more

AI Warnings For Safer Driving


You’re driving to work, the same route you take every day. But this time, a storm passes over: you’re suddenly faced with heavy rain and reduced visibility. All of a sudden, the “accident score” meter on your car’s dashboard moves into the red. You ease off the gas, move out of the passing lane and your score drops down to amber—you can’t get it into the green due to the advers... » read more

Deep Learning Models With MATLAB And Cortex-A


Today, I’ve teamed up with Ram Cherukuri of MathWorks to provide an overview of the MathWorks toolchain for machine learning (ML) and the deployment of embedded ML inference on Arm Cortex-A using the Arm Compute Library. MathWorks enables engineers to get started quickly and makes machine learning possible without having to become an expert. If you’re an algorithm engineer interested ... » read more

Driving AI, ML To New Levels On MCUs


One of the most dramatic impacts of technology of late has been the implementation of artificial intelligence and machine learning on small edge devices, the likes of which are forming the backbone of the Internet of Things. At first, this happened through sheer engineering willpower and innovation. But as the drive towards a world of a trillion connected devices accelerates, we must find wa... » read more

Taking Security-By-Design To The Next Level


It’s hard to argue that the pre-eminent challenge before our industry today is security. While each sensational hacking headline gets readers’ attention, countless engineers and developers behind the scenes innovate security solutions every day to stay one step ahead of the hackers. At a high level, companies have begun to work together toward holistic solutions to complement their own s... » read more

Cutting The Cord: How Edge Intelligence Is Enabling The IoT To Go Where Cloud Can’t


In a world where data’s time to value or irrelevancy may be measured in milliseconds, the latency introduced in transferring data to the cloud threatens to undermine many of the Internet of Things’ most compelling use cases. Think of data as the fuel that powers our new decision-making engines – fail to get the fuel to the engines fast enough and the engine splutters and dies. Meanwhil... » read more

How to nail functional safety in your next design


As the automotive industry accelerates innovation toward fully autonomous vehicles, one of the underlying values of this effort will be safer roadways. Nine in 10 vehicle accidents are caused by human error. Work underway, and future innovation in autonomous and semi-autonomous vehicles, should shrink driving fatalities by tens of thousands in much the same way that the introduction of seat bel... » read more

Containing Design Complexity With POP IP


About 25 years ago, Carver Mead, one of the pioneers of VLSI design, told a technical audience then grappling with the complexities of quarter-micron design that he could see an evolutionary path to about 130nm, but after that point, the picture blurred. Flash forward to the present and we’re manufacturing SoCs at 7nm, and the output is truly amazing devices powering applications we and Me... » read more

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