Week In Review: Auto, Security, Pervasive Computing


Automotive and mobility U.S. President Joe Biden announced the approval of $900 million in funding for a nationwide network of electrical vehicle charging stations in 35 states. The money is part of a multi-year, $7.5 billion plan to create 500,000 charging stations along federal highways. Industry executives told Reuters that remote human supervisors may be a permanent fixture of highly au... » read more

Week In Review: Design, Low Power


Cadence unveiled a big data analytics infrastructure to unify massive data sets across all Cadence computational software. The Joint Enterprise Data and AI (JedAI) Platform aims to optimize multiple runs of multiple engines across an entire SoC design and verification flow. It combines data from its AI-driven Cerebrus implementation and Optimality system optimization solutions, along with the n... » read more

What’s Really Behind The Adoption Of eFPGA?


System companies are taking a more proactive role in co-designing their hardware and software roadmaps, so it’s no surprise that they are also driving the adoption of embedded FPGAs (eFPGA). But why and why has it taken so long? Today, most system companies leverage FPGAs to offload intensive compute workloads from the main processor or provide broader IO capability than any packaged ASIC ... » read more

How Climate Change Affects Data Centers


Data centers are hot, and they may get even hotter. As climate change impacts temperatures around the world, designers are changing the computing hubs that are tied to nearly every aspect of modern life to make them more efficient, more customized, and potentially more disaggregated. These shifts are taking on new urgency as the tech industry grapples with months of sweltering temperatures o... » read more

Big Changes In Architectures, Transistors, Materials


Chipmakers are gearing up for fundamental changes in architectures, materials, and basic structures like transistors and interconnects. The net result will be more process steps, increased complexity for each of those steps, and rising costs across the board. At the leading-edge, finFETs will run out of steam somewhere after the 3nm (30 angstrom) node. The three foundries still working at th... » read more

New Uses For AI In Chips


Artificial intelligence is being deployed across a number of new applications, from improving performance and reducing power in a wide range of end devices to spotting irregularities in data movement for security reasons. While most people are familiar with using machine learning and deep learning to distinguish between cats and dogs, emerging applications show how this capability can be use... » read more

Cities Strive For More Smarts, Security


As cities around the world move beyond their first completed smart city projects and add more systems, they face hurdles in expanding but have more standards, technical resources, and real-world examples to draw on when making project design decisions. The main concern is keeping the smart city systems and their data and functions safe, especially if the system is touching critical infrastructu... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Flex Logix Technologies is partnering with Intrinsic ID to secure and protect any device using its eFPGA, so the device can’t be modified maliciously, through physical attacks or remote hacking. Flex Logix’s EFLX ePFGA will have Intrinsic ID’s SRAM physical unclonable function (PUF), a military-grade security IP that gives a device a unique silicon ID. The ID secures confidentia... » read more

Telecare Challenges: Secure, Reliable, Lower Power


The adoption of telecare using a variety of connected digital devices is opening the door to much more rapid response to medical emergencies, as well as more consistent monitoring, but it also is adding new challenges involving connectivity, security, and power consumption. Telecare has been on the horizon for the better part of two decades, but it really began ramping with improvements in s... » read more

Using AI To Speed Up Edge Computing


AI is being designed into a growing number of chips and systems at the edge, where it is being used to speed up the processing of massive amounts of data, and to reduce power by partitioning and prioritization. That, in turn, allows systems to act upon that data more rapidly. Processing data at the edge rather than in the cloud provides a number of well-documented benefits. Because the physi... » read more

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