Week in Review: IoT, Security, Auto


Internet of Things Combining artificial intelligence with unmanned aerial vehicles could provide a quicker and safer alternative to inspecting roadways for cracks, potholes, and other damage, according to a paper posted on arvix.org. “[M]anual visual inspection [is] not only tedious, time-consuming, and costly, but also dangerous for the personnel. Furthermore, the detection results are alwa... » read more

Designing For The Edge


Chip and system architectures are beginning to change as the tech industry comes to grips with the need to process more data locally for latency, safety, and privacy/security reasons. The emergence of the intelligent edge is an effort to take raw data from endpoints, extract the data that requires immediate action, and forward other data to various local, regional or commercial clouds. The b... » read more

Blog Review: April 17


In a video, Mentor's Colin Walls digs into power management in embedded software with a particular look at the Power Pyramid model. Synopsys' Taylor Armerding checks out the state of application security at this year's RSA and finds that while organizations are paying attention to security through training and dedicated teams, roadblocks still remain. Cadence's Paul McLellan considers how... » read more

Week in Review: IoT, Security, Auto


Internet of Things Smart-building technology is a factor in marketing new facilities to prospective tenants. The new Cambridge Crossing development in Cambridge, Mass., aspires to attract tech-oriented tenants much like nearby Kendall Square, this analysis notes. Philips has agreed to lease seven floors in Cambridge Crossing’s first office building, making that location its North American he... » read more

More Memory And Processor Tradeoffs


Creating a new chip architecture is becoming an increasingly complex series of tradeoffs about memories and processing elements, but the benefits are not always obvious when those tradeoffs are being made. This used to be a fairly straightforward exercise when there was one processor, on-chip SRAM and off-chip DRAM. Fast forward to 7/5nm, where chips are being developed for AI, mobile ph... » 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

Machine Learning on Arm Cortex-M Microcontrollers


Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing Neural Network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. CMSIS-NN is an open-source library of... » read more

Blog Review: April 10


Arm's Paul Whatmough discusses the growing use of real-time computer vision on mobile devices and proposes transfer learning as a way to enable neural network workloads on resource-constrained hardware. Cadence's Anton Klotz highlights a collaboration with Imec and TU Eindhoven on cell-aware test that reduces defect simulation time by filtering out defects with equivalent fault effects. M... » read more

Preparing For War On The Edge


War clouds are gathering over the edge of the network. The rush by the reigning giants of data—IBM, Amazon, Facebook, Alibaba, Baidu, Microsoft and Apple—to control the cloud by building mammoth hyperscale data centers  is being met with uncertainty at the edge of the network. In fact, just the emergence of the edge could mean that all bets are off when it comes to data dominance. It... » read more

Racing To The Edge


The race is on to win a piece of the edge, despite the fact that there is no consistent definition of where the edge begins and ends or how the various pieces will be integrated or ultimately tested. The edge concept originated with the Internet of Things, where the initial idea was that tens of billions of dumb sensors would communicate through gateways to the cloud. That idea persisted unt... » read more

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