Cost-Effective, Silicon-Based Security Reduces Risks, Achieves Competitive Advantage


IDC Spotlight, by Robert Westervelt, Research Director, Security Products, sponsored by Rambus. Device manufacturers are increasingly under pressure to address security and privacy. Cost-effective, silicon-based security is among the components that can significantly reduce the risk of physical attacks and cyberattacks and achieve a competitive advantage over both legacy and insecure solutio... » read more

Week in Review: IoT, Security, Autos


Products/Services Huawei Technologies is again delaying the public introduction of its Mate X foldable smartphone. It is unlikely the product will be marketed in the U.S., given the ongoing trade war. The official rollout now seems likely to come in November, in time for the holiday shopping season. Samsung Electronics has had its problems with foldable phones, yet those were due to manufactur... » read more

Week in Review: IoT, Security, Autos


Products/Services Synopsys agreed to acquire QTronic, a German company specializing in simulation, test tools, and services for automotive software and systems development. The transaction is expected to close in the fourth quarter of the company’s 2019 fiscal year. “The terms of the deal, which is not material to Synopsys financials, are not being disclosed,” Synopsys said in a statemen... » read more

Week in Review: IoT, Security, Auto


Products/Services Rambus agreed to acquire Hillsboro, Ore.-based Northwest Logic, a purveyor of memory, PCIe, and MIPI digital controllers. The transaction is expected to close in the current quarter. Financial terms weren’t disclosed; Rambus said in a statement, “Although this transaction will not materially impact 2019 results due to the expected timing of close and acquisition accountin... » read more

Week in Review: IoT, Security, Auto


Products/Services Arteris IP reports that Bitmain licensed the Arteris Ncore Cache Coherent Interconnect intellectual property for use in its next-generation Sophon Tensor Processing Unit system-on-a-chip devices for the scalable hardware acceleration of artificial intelligence and machine learning algorithms. “Our choice of interconnect IP became more important as we continued to increase t... » read more

Week in Review: IoT, Security, Auto


Internet of Things The Wing unit of Alphabet this summer will begin making drone deliveries in the Vuosarri district of Helsinki, Finland. The unmanned aerial vehicles will bear food and other items from Herkku Food, a gourmet market, and the Café Monami restaurant. The drones will bear deliveries of up to 3.3 pounds over distances of up to 6.2 miles. Comcast is reportedly developing an in... » read more

Power/Performance Bits: May 14


Detecting malware with power monitoring Engineers at the University of Texas at Austin and North Carolina State University devised a way to detect malware in large-scale embedded computer systems by monitoring power usage and identifying unusual surges as a warning of potential infection. The method relies on an external piece of hardware that can be plugged into the system to observe and m... » read more

Week in Review: IoT, Security, Auto


Internet of Things Microsoft has new services and capabilities for Azure-connected Internet of Things devices. There’s a new IoT security tool called Azure Security Center for IoT, which ties in with other tools within Azure IoT Hub. Azure Security Center for IoT uses Azure Security Center, Microsoft’s threat intelligence offering. The new IoT security tool also hooks into Azure Sentinel, ... » read more

Week in Review: IoT, Security, Auto


Cybersecurity Rambus signed a patent license agreement with Socionext, a designer of system-on-a-chip devices. Socionext will use Rambus technology in memory controllers, serializers/deserializers, and security applications. Netskope acquired Sift Security, adding 10 technical employees to its headcount of more than 500 people; financial terms weren’t revealed. Sift CEO Neil King was tapp... » read more

Security Holes In Machine Learning And AI


Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

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