Extending Cloud To The Network Edge


The adoption of multi-gigabit networks and planned roll-out of next generation 5G networks will continue to create greater available network bandwidth as more and more computing and storage services get funneled to the cloud. Increasingly, applications running on IoT and mobile devices connected to the network are becoming more intelligent and compute-intensive. However, with so many resources ... » read more

Cache Speculation Side-Channels


Cache timing side-channels are a well understood concept in the area of security research. As such, this whitepaper will provide a simple conceptual overview rather than an in-depth explanation. The basic principle behind cache timing side-channels is that the pattern of allocations into the cache, and, in particular, which cache sets have been used for the allocation, can be determined by m... » read more

Connected Car Driving Defect Detection Change


Automotive product design is rapidly evolving and the magnitude and pace of change facing engineering organizations is challenging incumbent processes and resources, especially in the area of software design. While connected cars are not new, the frequency and depth to which the industry is embracing this dynamic is accelerating. Software has emerged as a primary vehicle for innovation and diff... » read more

Engineering Challenges for Viable Autonomous Vehicles


The rise of autonomous and electric vehicles brings with it a host of engineering implications, including an increase in the number and variety of sensors in the vehicle, increasing software and hardware complexity, massive validation and verification cycles, heightened safety and security requirements, and new demands for digital data continuity. This paper is an overview of how six interdisci... » read more

Finding And Fixing ML’s Flaws


OneSpin CEO Raik Brinkmann sat down with Semiconductor Engineering to discuss how to make machine learning more robust, predictable and consistent, and new ways to identify and fix problems that may crop up as these systems are deployed. What follows are excerpts of that conversation. SE: How do we make sure devices developed with machine learning behave as they're supposed to, and how do we... » read more

Mobile Scan-And-Go Technology


Brick-and-mortar merchants are in the midst of a period of unprecedented disruption. Long-term structural trends mean that retailers must address decreasing revenues and escalating costs, while evolving the in-store experience to meet the demands of the connected consumer. For this reason, transformative technologies such as mobile scan-and-go solutions are coming to the fore, with deployments ... » read more

Blog Review: May 2


Arm's Greg Yeric looks towards the future of 3D ICs with a dive into transistor-level 3D, including the different proposed methods of stacking transistors, power/performance benefits, and challenges such as parasitic resistance. Mentor's Kurt Takara, Chris Kwok, Dominic Lucido, and Joe Hupcey III explain how a custom synchronizer methodology can help avoid CDC mistakes and errors in FPGA des... » read more

EDA In The Cloud (Part 2)


Semiconductor Engineering sat down to discuss the migration of EDA tools into the Cloud with Arvind Vel, director of product management at ANSYS; Michal Siwinski, vice president of product management at Cadence; Richard Paw, product marketing manager at DellEMC, Gordon Allan, product manager at Mentor, a Siemens Business; Doug Letcher, president and CEO of Metrics, Tom Anderson, technical marke... » read more

Manufacturing Bits: May 1


Adaptive materials The U.S. Army Research Laboratory (ARL) and the University of Maryland have developed a technique to make adaptive materials. Using ultraviolet light, researchers have devised a way that causes a composite material to become stiffer and stronger on-demand. This in turn could enable a variety of new capabilities for the U.S. military, such as rotorcraft design. In this... » read more

System Bits: May 1


Tiniest implanted wireless nerve stimulator UC Berkeley researchers, co-led by Rikky Muller, who is also assistant professor of electrical engineering and computer sciences at Berkeley, have built what they say is the smallest volume, most efficient wireless nerve stimulator to date. Before this milestone, UC Berkeley engineers demonstrated the first implanted, ultrasonic neural dust sensor... » read more

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