Week in Review: IoT, Security, Auto


Internet of Things Release 3 is published by oneM2M, the worldwide Internet of Things interoperability standards initiative. The third set of specifications deals with 3GPP interworking, especially as it relates to cellular IoT connectivity, among other features. The release is said to enable seamless interworking with narrowband IoT and LTE-M connectivity through the 3GPP Service Capability E... » read more

Week in Review: IoT, Security, Auto


Internet of Things NXP Semiconductors provided its A71CH trust anchor to Google IoT Cloud, enabling authentication for Google IoT Cloud Core. The technology helps to secure edge devices for Internet of Things deployments. Separately, NXP announced the promotion of Kurt Sievers, executive vice president and general manager of the chip company’s automotive business, to president of NXP Semicon... » read more

People Vs. Self-Driving Cars


If you’re a screenwriter—or a car salesman—you’re already thinking of ways to write non-sci-fi self-driving cars into a movie script. Automobiles have been integral to the plots of gritty noir crime movies, heist flicks, romantic comedies, and obviously, road movies. What's clear is the self-driving car won’t be the ideal getaway vehicle anymore, particularly if there is no steerin... » read more

Week in Review: IoT, Security, Auto


Internet of Things Silicon Labs worked with Norway’s Q-Free to create the ParQSense Smart Parking Sensor, which helps drivers find available outdoor parking spaces. ParQSense uses the chip company’s Wonder Gecko wireless microcontroller for connectivity and control. Having gone through pilot testing in the European Union and North America this year, ParQSense is being released for commerci... » read more

Week in Review: IoT, Security, Auto


Internet of Things Electrolux, Haier, LG Electronics, and Samsung Electronics announced they are working with the Open Connectivity Foundation, an Internet of Things standards body, to build, commercialize, and deploy interoperable OCF-Certified connected products during 2019. In addition, the OCF is launching an enhanced security model and secure cloud management capabilities, making use of p... » read more

Week in Review: IoT, Security, Auto


Deals Arm acquired Treasure Data, which offers a data management service. Financial terms weren’t revealed, although the transaction is reportedly worth $600 million. Joyce Kim, Arm’s chief marketing officer, told reporters that the purchase is “the largest cash deal we’ve done.” Along with the company’s introduction of Mbed Cloud (a device management service) last year and the acq... » read more

Week in Review: IoT, Security, Auto


Automotive Tech Marvell Technology Group opened its automotive electromagnetic compatibility lab in North America. The facility is CISPR 25-qualified and gives the chip company the capability to conduct in-house electrostatic discharge, emission, and immunity testing. Marvell also reported that its 88Q2112 offering received a mark of 100% in conformance testing outlined by the Japan Automotive... » read more

Week in Review: IoT, Security, Auto


Deals ArterisIP inked a deal with Mobileye, which has bought multiple licenses for ArterisIP's interconnect and resilience technology for functional safety and AI hardware acceleration. Mobileye, which was purchased by Intel last year for $15.3 billion, will use the technology for ISO 26262/ASIL B and D SoCs. Siemens agreed to operate its MindSphere digital operating system on Alibaba Cloud... » read more

Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps (MIT)


Source: MIT CSAIL: Teddy Ort, Liam Paul, Daniela Rus According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, of... » read more

System Bits: May 15


Navigating with GPS and sensors According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, off-ramps, and stop signs... » read more

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