tag: machine learning

New Insights Into IC Process Defectivity
By Laura Peters - 07 Nov, 2023 - Comments: 1

Finding critical defects in manufacturing is becoming more difficult due to tighter design margins, new processes, and shorter process windows. Process marginality and parametric outliers used to be problematic at each new node, but now they are persistent problems at several nodes and in advanced packaging, where there may be a mix of different technologies. In addition, there are more proc... » read more

Optimization Of The Interface Between The PD And The AFE In High-Speed, High-Density Optical Receivers
By Technical Paper Link - 27 Oct, 2023 - Comments: 0

A technical paper titled “Optimizing the Photodetector/Analog Front-End Interface in Optical Communication Receivers” was published by researchers at University of Toronto. Abstract: "This article addresses the optimization of the interface between the photodetector (PD) and the analog front-end in high-speed, high-density optical communication receivers. Specifically, the article focuses... » read more

Energy Usage in Layers Of Computing (SLAC)
By Technical Paper Link - 19 Oct, 2023 - Comments: 0

A technical paper titled “Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining” was published by researchers at SLAC National Laboratory and Stanford University. Abstract: "Estimates of energy usage in layers of computing from devices to algorithms have bee... » read more

Applying Machine Learning to EDA, FPGA Design Automation Tools
By Technical Paper Link - 11 Oct, 2023 - Comments: 0

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: "With the recent advances in hardware technologies like advanced CPUs and GPUs and the large availability of open-source libraries, machine learning has penetrated various domains, including Electronics Design Automation (EDA). E... » read more

Streamlining Failure Analysis Of Chips
By Anne Meixner - 10 Oct, 2023 - Comments: 1

Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran Hak... » read more

How Much AI Is Really Needed?
By John Koon - 05 Oct, 2023 - Comments: 0

Tensor Core GPUs have created a generative AI model gold rush. Whether it’s helping students with math homework, planning a vacation, or learning to prepare a six-course meal, generative AI is ready with answers. But that's only one aspect of AI, and not every application requires it. AI — now an all-inclusive term, referring to the process of using algorithms to learn, predict, and make... » read more

Data Collection For Edge AI / Tiny ML With Sensors
By Renesas - 04 Oct, 2023 - Comments: 0

Reality AI software from Renesas provides solution suites and tools for R&D engineers who build products and internal solutions using sensors. Working with accelerometers, vibration, sound, electrical (current/voltage/ capacitance), radar, RF, proprietary sensors, and other types of sensor data, Reality AI software identifies signatures of events and conditions, correlates changes in signat... » read more

Neuromorphic Hardware Accelerator For Heterogeneous Many-Accelerator SoCs
By Technical Paper Link - 28 Sep, 2023 - Comments: 0

A technical paper titled “SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip” was published by researchers at Columbia University. Abstract: "Neuromorphic computing is an emerging field with the potential to offer performance and energy-efficiency gains over traditional machine learning approaches. Most neuromorphic hardware, however, has been designed wi... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere
By Frank Schirrmeister - 28 Sep, 2023 - Comments: 0

Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

Thoughts On AI Consciousness
By Anda Ioana Enescu Buyruk - 28 Sep, 2023 - Comments: 0

By Anda Ioana Enescu Buyruk and Catalin Tudor The rapid advancement of artificial intelligence (AI) has sparked profound discussions regarding the possibility of AI systems achieving consciousness. Such a development carries immense implications, forcing us to redirect our focus from studying the behavior of other organisms to scrutinizing ourselves. This article will delve into the concept ... » read more

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