New Roadmap For Electronics


Tech Talk: Melissa Grupen-Shemansky, CTO for SEMI’s FlexTech Group and Advanced Packaging program, looks at what’s changing now that Moore’s Law is slowing, and how packaging is changing as the traditional physical boundaries of electronics begin breaking down. https://youtu.be/UpH1m8Oru90 » read more

Architecting For AI


Semiconductor Engineering sat down to talk about what is needed today to enable artificial intelligence training and inferencing with Manoj Roge, vice president, strategic planning at Achronix; Ty Garibay, CTO at Arteris IP; Chris Rowen, CEO of Babblelabs; David White, distinguished engineer at Cadence; Cheng Wang, senior VP engineering at Flex Logix; and Raik Brinkmann, president and CEO of O... » read more

Five DAC Keynotes


The ending of Moore's Law may be about to create a new golden age for design, especially one fueled by artificial intelligence and machine learning. But design will become task-, application- and domain-specific, and will require that we think about the lifecycle of the products in a different way. In the future, we also will have to design for augmentation of experience, not just automation... » read more

System Bits: July 16


Test tube AI neural network In a significant step towards demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, Caltech researchers have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work was done in the laboratory of Lulu Qian, assistant p... » read more

Week in Review: IoT, Security, Auto


Deals ArterisIP inked a deal with Mobileye, which has bought multiple licenses for ArterisIP's interconnect and resilience technology for functional safety and AI hardware acceleration. Mobileye, which was purchased by Intel last year for $15.3 billion, will use the technology for ISO 26262/ASIL B and D SoCs. Siemens agreed to operate its MindSphere digital operating system on Alibaba Cloud... » read more

Testing Cars In Context


The choices for companies developing systems or components that will work in autonomous vehicles is to road test them for millions of miles or to simulate them, or some combination of both. Simulation is much quicker, and it has worked well in the semiconductor world for decades. Simulating a chip or electronic system in context is hard enough. But simulating a system of systems in the real... » read more

Reconfigurable AI Building Blocks For SoCs And MCUs


FPGA chips are in use in many AI applications today, including Cloud datacenters. Embedded FPGA (eFPGA) is now becoming used for AI applications as well. Our first public customer doing AI with EFLX eFPGA is Harvard University, who will present a paper at Hot Chips August 20th on Edge AI processing using EFLX: "A 16nm SoC with Efficient and Flexible DNN Acceleration for Intelligent IoT Devi... » read more

FPGAs Drive Deeper Into Cars


FPGAs are reaching deeper and wider inside of automobiles, playing an increasingly important role across more systems within a vehicle as the electronic content continues to grow. The role of FPGAs in automotive cameras and sensors is already well established. But they also are winning sockets inside of a raft of new technologies, ranging from the AI systems that will become the central logi... » read more

7nm Design Challenges


Ty Garibay, CTO at ArterisIP, talks about the challenges of moving to 7nm, who’s likely to head there, how long it will take to develop chips at that node, and why it will be so expensive. This also raises questions about whether chips will begin to disaggregate at 7nm and 5nm. https://youtu.be/ZqCAbH678GE » read more

Security Holes In Machine Learning And AI


Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

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