Using FPGAs For AI


Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Blog Review: Nov. 27


Arm's Ben Fletcher digs into what's needed to make wireless 3D integration a reality from a tool to automate the design and optimization process for inductors used in wireless 3D-ICs to exploring how the data can be encoded in the transceiver to reduce power consumption. Cadence's Paul McLellan listens in as Eli Singerman of Intel explains the importance of platform security and why firmware... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Week in Review: IoT, Security, Autos


IoT/Edge Achronix teamed up with Bittware to develop a smart accelerator card based on a 7nm FPGA from Achronix. The card is targeted for edge devices, where pre-processing and acceleration of data movement is critical due to the enormous quantity of data being generated by sensors. The strategy is to move the processing closer to the data, rather than processing input from multiple sensors in... » read more

Blog Review: Oct. 30


Cadence's Paul McLellan checks out the future of the automotive industry, the options for making the transition to autonomous driving, and how experience with electric vehicles influences perception of them. In a video, Mentor's Colin Walls digs into the challenges of testing memory in an embedded system. A Synopsys writer looks at doubling bandwidth in PCIe 5.0, the PHY logical changes a... » read more

Week in Review: IoT, Security, Autos


Products/Services The Networking for Autonomous Vehicles Alliance announces that Marvell Semiconductor is joining the NAV Alliance following its acquisition of Aquantia. Fourteen companies are in the industry organization, including Bosch, Continental, Nvidia, and Volkswagen. “The NAV Alliance is developing the platforms that will create the future of transportation and we believe that Multi... » read more

Week in Review – IoT, Security, Autos


Products/Services Arm TechCon got under way with a series of announcements. Arm is a founding member of the Autonomous Vehicle Computing Consortium, along with General Motors, Toyota Motor, DENSO, Continental, Bosch, NXP Semiconductors, and Nvidia. More information on the consortium is available here. “Imagine a world where vehicles are able to perceive their dynamically changing environment... » read more

Shrinking AV’s 1 Billion Test Miles


There is still no answer to how many miles an autonomous vehicle needs to drive before it's proven safe. But some AV developers and test companies are hoping to ease the burden a bit with automation that makes millions of real and simulated miles of road testing simpler to implement, supported by standards that make it easier to create and trade simulation scenarios. The goal is to reduce th... » read more

Blog Review: Oct. 2


In a video, Cadence's Tom Hackett explains finite element analysis by looking at a simple model of a bridge and showing why FEA techniques are required for analysis of real-world structures. Synopsys' Taylor Armerding examines why the 156-year-old False Claims Act has new relevance when companies are accused of failing to meet cybersecurity standards. Mentor's Colin Walls demystifies memo... » read more

Nvidia’s Top Technologists Discuss The Future Of GPUs


Semiconductor Engineering sat down to discuss the role of the GPU in artificial intelligence, autonomous and assisted driving, advanced packaging and heterogeneous architectures with Bill Dally, Nvidia’s chief scientist, and Jonah Alben, senior vice president of Nvidia’s GPU engineering, at IEEE’s Hot Chips 2019 conference. What follows are excerpts of that conversation. SE: There are ... » read more

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