Improving PPA With AI


AI/ML/DL is starting to show up in EDA tools for a variety of steps in the semiconductor design flow, many of them aimed at improving performance, reducing power, and speeding time to market by catching errors that humans might overlook. It's unlikely that complex SoCs, or heterogeneous integration in advanced packages, ever will be perfect at first silicon. Still, the number of common error... » read more

NVMe-oF: Simple, Invisible Fabric For Distributed Storage Networks


In today’s fast paced world, we need seamless access to huge chunks of data and new-world technologies, such as artificial intelligence (AI), machine learning (ML), cloud computing, and real-time data analytics. AI researchers are deriving applications such as cyber security analysis and intelligent virtual assistants (IVA) where the computer needs to process an intense amount of data. Theref... » read more

How AI/ML Improves Fab Operations


Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

Zero Dark Silicon


Planning for AI requires an understanding of how much data needs to be processed and how quickly that needs to happen. Nick Ni, senior director of data center AI and compute markets at AMD, talks with Semiconductor Engineering about data bubbles and domain-specific designs, why dark silicon is no longer as useful as in the past, and how to optimize power and performance in both the data center ... » read more

Novel H2H mapping algorithm with both computation and communication awareness


New research paper "H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness" from University of Pittsburgh, Georgia Tech. Abstract: "The complex nature of real-world problems calls for heterogeneity in both machine learning (ML) models and hardware systems. The heterogeneity in ML models comes from multi-sensor perceiving and multi-task lear... » read more

A New World Of Innovation


There has been a fundamental shift in product innovation. Not merely a revolution in materials or design, but a revolution of possibilities. Advanced software technologies such as artificial intelligence have given us a peek of what could be, enabled by methods to deliver the speed that turn worldchanging ideas into reality. We’ve now reached an event horizon — one where semiconductors and ... » read more

Artificial intelligence deep learning for 3D IC reliability prediction


New research from National Yang Ming Chiao Tung University, National Center for High-Performance Computing (Taiwan), Tunghai University, MA-Tek Inc, and UCLA. Abstract "Three-dimensional integrated circuit (3D IC) technologies have been receiving much attention recently due to the near-ending of Moore’s law of minimization in 2D IC. However, the reliability of 3D IC, which is greatly infl... » read more

A Novel Power-Saving Reversing Camera System with Artificial Intelligence Object Detection


Abstract "According to a study by the Insurance Institute for Highway Safety (IIHS), the driving collision rate of using only the reversing camera system is lower than that of using both the reversing camera system and the reversing radar. In this article, we implemented a reversing camera system with artificial intelligence object detection to increase the information of the reversing image... » read more

More Options, Less Dark Silicon


Chipmakers are beginning to re-examine how much dark silicon should be used in a heterogenous system, where it works best, and what alternatives are available — a direct result of a slowdown in Moore's Law scaling and the increasing disaggregation of SoCs. The concept of dark silicon has been around for a couple decades, but it really began taking off with the introduction of the Internet ... » read more

Speeding Up AI Algorithms


AI at the edge is very different than AI in the cloud. Salvador Alvarez, solution architect director at Flex Logix, talks about why a specialized inferencing chip with built-in programmability is more efficient and scalable than a general-purpose processor, why high-performance models are essential for getting accurate real-time results, and how low power and ambient temperatures can affect the... » read more

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