Connected Car News: MB Disconnects, Porsche, GrAI & ON Semi

In connected car news this week were Mercedes-Benz, Porsche, GrAI and ON Semi.

Hey Mercedes, Don’t Leak My Data—

For a brief time, Merecdes-Benz owners who used their remote app, had access to other owners’ information, including, names, phone numbers and locations. The remote start, unlock and real-time location features apparently did not work.

“There was a short interval [October 18] during which incorrect customer data was displayed on our MercedesMe app,” said Donna Boland, a spokesperson for Daimler, the parent company of Mercedes-Benz.

“The information displayed was cached information — not real-time access to the account, no financial info was viewable nor was it possible to interact with, or determine live location of, the vehicle associated with the account,” the spokesperson said. “When we became aware of the issue, we took the system down, identified the issue and resolved it,” she added.

Porsche Taps SAP

At an executive meeting, Porsche and SAP now have sealed a new strategic partnership. For several decades now, the sports car manufacturer has been successfully using products from the software company based in Walldorf near Stuttgart. To allow each partner tap into the expertise and experience of the other, Porsche and SAP have together set themselves the goal of driving forward co-innovations in order to jointly develop new solutions for the digital transformation.

GrAI Matter Labs’ GrAI One

GrAI Matter Labs (aka GML)announces GrAI One – the world’s first AI processor optimized for ultra-low latency and low power processing at the edge.

GrAI One, the first chip based on the company’s NeuronFlow technology, drastically reduces application latency, for instance, it reduces the end-to-end latencies for deep learning networks such as PilotNet to the order of microseconds. NeuronFlow combines the dynamic dataflow paradigm with neuromorphic computing to produce massively parallel in-network processing. GrAI One is targeted at response-critical edge applications in autonomous navigation, human-machine interaction and smart healthcare markets.

The fully digital chip measures 20mm2 in TSMC 28nm technology and implements a mesh of 196 neuron cores with local neuron/synapse memories for a total of 200,000 neurons. It provides a GPIO interface to offload latency-critical AI workloads of a host processor. At 100% neuron core utilization, GrAI One consumes as little as 35mW.

GrAI One is supported by GML’s GrAIFlow software development kit. It is capable of both conventional program execution and machine learning computation via industry-standard languages like TensorFlow, Python and C++. The kit includes compiler, simulator, debugger, graphical editor and compute and network APIs. GrAIFlow is available now for early access customers for architecture evaluation and application programming. GrAI One is expected to begin sampling in Q4 2019.

The company’s CEO Ingolf Held said: “GrAI One processes edge AI applications orders of magnitude faster than traditional architectures while maintaining a power footprint suitable for battery powered devices. With GrAIFlow we offer our customers the opportunity to explore new ultra-low latency use cases, thereby bringing their innovation to every device on the edge.”

ON Semi for Subaru’s EyeSight

ON Semiconductor (Nasdaq: ON), driving energy efficient innovations, has passed the landmark number of 100 million AR0132AT image sensors shipped for driver assistance applications. The 1.2 Megapixel CMOS sensor was selected by SUBARU CORPORATION, a leader in advanced safety technologies for automotive, thanks to its industry-leading combination of high dynamic range, low light sensitivity, and programmable exposure modes, which meet the demanding technical specifications of its driver support system, EyeSight.

The EyeSight system supported by AR0132AT was first installed in the Levorg model in June 2014, and later offered in the Legacy, Forester, Impreza and SUBARU XV models. ON Semiconductor and SUBARU will continue to collaborate on the technology development of camera-based ADAS systems with the shared vision of improving safety and achieving ZERO traffic fatalities in the near future.

The AR0132AT is used in the stereo camera system that forms the ‘eyes’ of EyeSight, to support important safety functionality, including adaptive cruise control, lane keep assist and sway warning, pre-collision braking and pre-collision throttle management.

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