Making Tradeoffs With AI/ML/DL


Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

Designing Crash-Proof Autonomous Vehicles


Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

ML Automotive Chip Design Takes Off


Machine learning is increasingly being deployed across a wide swath of chips and electronics in automobiles, both for improving reliability of standard parts and for the creation of extremely complex AI chips used in increasingly autonomous applications. On the design side, the majority of EDA tools today rely on reinforcement learning, a machine learning subset of AI that teaches a machine ... » read more

Data Leakage Becoming Bigger Issue For Chipmakers


Data leakage is becoming more difficult to stop or even trace as chips become increasingly complex and heterogeneous, and as more data is stored and utilized by chipmakers for other designs. Unlike a cyberattack, which typically is done for a specific purpose, such as collecting private data or holding a system ransom, data leaks can spring up anywhere. And as the value of data increases, th... » read more

Automotive Security: Meeting The Growing Challenges With Certified Hardware Security Module IP


Automotive systems, and the semiconductors used within them, are some of the most complex electronics seen today. The radical transformation from an isolated mechanical car to a connected software-driven car is driving the increased use of semiconductors in vehicles: these include advanced driver assistance systems (ADAS), electrification, and enhanced driver/passenger experience. More conne... » read more

From Data Center To End Device: AI/ML Inference With GDDR6


Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be incre... » read more

Week In Review: Design, Low Power


Cadence rolled out a slew of new products at this week’s CDNLive Silicon Valley, including: A new generative AI-powered tool for analog, mixed-signal, RF and photonics design; An extended collaboration with TSMC and Microsoft to advance giga-scale physical verification system in the cloud; A multi-year partnership with the San Francisco 49ers football organization, focused on sust... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing Broadcom announced delivery of its Jericho3-AI fabric for artificial intelligence (AI) networks, which delivers 26 petabits per second of Ethernet bandwidth. That is roughly four times the bandwidth of the previous generation, at a 40% power savings per gigabit. AMD released the Ryzen Embedded 5000 Series processors for customers requiring power-efficient processors opt... » read more

Week In Review: Semiconductor Manufacturing, Test


U.S. Senate Majority Leader Chuck Schumer said he launched an effort to establish rules on artificial intelligence to address national security and education concerns, Reuters reported. "Time is of the essence to get ahead of this powerful new technology to prevent potentially wide-ranging damage to society and national security and instead put it to positive use by advancing strong, bipartisan... » read more

Week In Review: Design, Low Power


Arm and Intel Foundry Services inked a multi-generation agreement to enable chip designers to build Arm-based SoCs on the Intel 18A process. The initial focus is mobile SoC designs, but the deal allows for potential expansion into automotive, IoT, data center, aerospace, and government applications. IFS and Arm will undertake design technology co-optimization (DTCO) to optimize chip design and ... » read more

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