tag: Fraunhofer IIS/EAS

A Framework For Ultra Low-Power Hardware Accelerators Using NNs For Embedded Time Series Classification
By Fraunhofer IIS/EAS - 09 Mar, 2022 - Comments: 0

In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quantization of the NN or analog calculation of arithmetic operations. However, there is no holistic approach for a complete embedded system design ... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 25 Feb, 2022 - Comments: 0

Security Fraunhofer IIS received a grant to establish an R&D center for trustworthy integrated electronic systems for security and safety. Working with other Fraunhofer divisions, Fraunhofer IIS will use innovative methods in design and testing to help protect IP along the value chain of microelectronic components and systems. The center will focus on creating a secure design flow for inte... » read more

Why RISC-V Is Succeeding
By Brian Bailey - 24 Feb, 2022 - Comments: 5

There is no disputing the excitement surround the introduction of the RISC-V processor architecture. Yet while many have called it a harbinger of a much broader open-source hardware movement, the reasons behind its success are not obvious, and the implications for an expansion of more open-source cores is far from certain. “The adoption of RISC-V as the preferred architecture for many sili... » read more

Unintended Coupling Issues Grow
By Brian Bailey - 24 Feb, 2022 - Comments: 0

The number of indirect and often unexpected ways in which one design element may be affected by another is growing, making it more difficult to ensure a chip — or multiple chips in a package — will perform reliably. Long gone are the days when the only way that one part of a circuit could influence another was by an intended wire connecting them. As geometries get smaller, frequencies go... » read more

Enhancing Datasets For Artificial Intelligence Through Model-Based Methods
By Dirk Mayer - 10 Feb, 2022 - Comments: 0

By Dirk Mayer and Ulf Wetzker Industrial plants and processes are now digitized and networked, and AI can be used to evaluate the data generated by those facilities to increase productivity and quality. Machine learning (ML) methods can be applied to: Product quality classification in complex production processes. Condition monitoring of technical systems, which is used, for examp... » read more

13000 FPS Vision System-on-Chip With Mixed-Signal Compressed Sensing
By Fraunhofer IIS/EAS - 09 Feb, 2022 - Comments: 0

This paper presents a monolithic high-speed VSoC (Vision-System-on-Chip) with three software-programmable 16-bit ASIPs (application-specific instruction-set processors), a 1024-fold column-parallel data path of charge-based convolution functionality, freely configurable A/D conversion, 8-bit processor elements with 128 bytes of RAM each, and asynchronously compressing output of sparse column da... » read more

What Causes Semiconductor Aging?
By Bryon Moyer - 08 Feb, 2022 - Comments: 7

Semiconductor technology has evolved to the point where no one can assume chips will last forever. If not carefully considered, aging can shorten the life of an IC below the needs for an intended application. Aging is well studied in technology circles, but while others less directly involved may understand at a general level this is a problem, it's not always obvious why. So what exactly ar... » read more

AI Goes Ultra Low Power — Part 1
By Fraunhofer IIS/EAS - 12 Jan, 2022 - Comments: 0

Based on the concept of the new Federal Agency for Jump Innovations (PSRIN-D), the BMBF initiated three pilot innovation competitions. One of them presented the participants with the task of developing the most energy-efficient AI system possible as a hardware implementation on an ASIC or FPGA. With this, a stack of hundreds of two-minute long ECG signals should be analyzed with a minimum of en... » read more

Preventing Failures Before They Occur
By Bryon Moyer - 11 Jan, 2022 - Comments: 1

A decade or so ago, when MEMS sensors were in the limelight, one of the touted applications was to install them on industrial or other equipment to get an advance warning if the equipment was approaching failure. Today, in-circuit monitoring brings the same promise. Are these competing technologies? Or can they be made to work together? “Almost all advanced tool manufacturing companies ... » read more

Manufacturing Shifts To AI Of Things
By John Koon - 06 Jan, 2022 - Comments: 0

AI is being infused into the Internet of Things, setting the stage for significant improvements in manufacturing productivity, improved uptime, and reduced costs — regardless of market segment. The traditional approach to improving manufacturing equipment reliability and efficiency is regular scheduled maintenance. While that is an improvement over just fixing or replacing equipment when i... » read more

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