Securing The IoT Begins With Zero-Touch Provisioning At Scale


The path to secured IoT deployments starts with a hardware root-of-trust at the device level, a simple concept that belies the complexity of managing a chain of trust that extends from every edge device to the core of the network. The solution to this management challenge, based on a coordinated effort of domain experts, is a zero touch “chip-to-cloud” provisioning service for certificates-... » read more

Week In Review: Auto, Security, Pervasive Computing


Security The U.S. government agencies put out a warning that Russian military has been using a Kubernetes cluster to attempt distributed and anonymized brute force access against hundreds of government and private sector targets worldwide. Department of Homeland Security (DHS)’s Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), the National S... » read more

Week In Review: Manufacturing, Test


Government policy Semiconductor companies as well hardware and software vendors have announced the formation of the Semiconductors in America Coalition (SIAC). The group called on congressional leaders to appropriate $50 billion for U.S. manufacturing incentives and research initiatives. SIAC’s mission is to advance federal policies that promote semiconductor manufacturing and research in th... » read more

Week In Review: Manufacturing, Test


Government policy President Biden has rolled out a proposal to boost the infrastructure in the U.S. As part of the plan, the president is calling on Congress to invest $50 billion in U.S. semiconductor manufacturing and research. The proposal must pass Congress, which isn’t going to be easy. “The President’s plan would invest ambitiously in U.S. semiconductor workers, manufacturing, and ... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back Arm announced its Armv9 architecture, which is designed for secure, pervasive computing that can run in more types of AI systems. Because most data will be touching an Arm-based chip in the near future — whether on the edge, IoT, or data center — Arm enhanced the security, in addition to improving performance and AI/ML capabil... » read more

Tradeoffs To Improve Performance, Lower Power


Generic chips are no longer acceptable in competitive markets, and the trend is growing as designs become increasingly heterogeneous and targeted to specific workloads and applications. From the edge to the cloud, including everything from vehicles, smartphones, to commercial and industrial machinery, the trend increasingly is on maximizing performance using the least amount of energy. This ... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive/Mobility With the chip supply so tight it is shutting down automotive production lines, U.S. chip company CEOs signed a Semiconductor Industry Association (SIA) letter asking the U.S. president to include funding incentives for the chip manufacturing in U.S. economic recovery plans. The letter references the CHIPS for America Act and asks the president to work with Congress to suppo... » read more

Week In Review: Design, Low Power


Tools & IP Synopsys is joining Microsoft in the U.S. Department of Defense's Rapid Assured Microelectronics Prototypes (RAMP) program to support the development of IC hardware and workflow prototypes that incorporate Synopsys' assured design and manufacturing flows into Microsoft Azure. The RAMP program aims to bring commercial capabilities and speed to the development of semiconductors fo... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Microsoft and Synopsys are working together on a secure cloud-based chip development environment for United States Department of Defense’s Rapid Assured Microelectronics Prototypes (RAMP) program. “Through this integration on the RAMP program, Synopsys' trusted design, verification and silicon IP solutions will be available in Microsoft Azure," said Mujtaba Hamid, head of Silicon ... » read more

Edge-Inference Architectures Proliferate


First part of two parts. The second part will dive into basic architectural characteristics. The last year has seen a vast array of announcements of new machine-learning (ML) architectures for edge inference. Unburdened by the need to support training, but tasked with low latency, the devices exhibit extremely varied approaches to ML inference. “Architecture is changing both in the comp... » read more

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