tag: machine learning

Addressing Library Characterization And Verification Challenges Using ML
By Siemens EDA - 23 Feb, 2022 - Comments: 0

At advanced process nodes, Liberty or library (.lib) requirements are more demanding due to design complexities, increased number of corners required for timing signoff, and the need for statistical variation modeling. This results in an increase in size, complexity, and the number of .lib characterizations. Validation and verification of these complex and large .lib files is a challenging task... » read more

Technology Advances, Shortages Seen For Wire Bonders
By Mark LaPedus - 17 Feb, 2022 - Comments: 2

A surge in demand for IC packages is causing long lead times for wire bonders, which are used to assemble three-fourths of the world’s packages. The wire bonder market doubled last year, alongside advanced packaging’s rise. Wirebonding is an older technology that typically flies under the radar. Still, packaging houses have multitudes of these key tools that help assemble many — but no... » read more

Improving PPA In Complex Designs With AI
By John Koon - 14 Feb, 2022 - Comments: 0

The goal of chip design always has been to optimize power, performance, and area (PPA), but results can vary greatly even with the best tools and highly experienced engineering teams. Optimizing PPA involves a growing number of tradeoffs that can vary by application, by availability of IP and other components, as well as the familiarity of engineers with different tools and methodologies. Fo... » 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

Why Data Center Power Will Never Come Down
By Bryon Moyer - 10 Feb, 2022 - Comments: 3

Data centers have become significant consumers of energy. In order to deal with the proliferation of data centers and the servers within them, there is a big push to reduce the energy consumption of all data center components. With all that effort, will data center power really come down? The answer is no, despite huge improvements in energy efficiency. “Keeping data center power consum... » read more

Technology Advancements For Dynamic Function eXchange In Vivado ML Edition
By Xilinx - 08 Feb, 2022 - Comments: 0

As systems become more complex and designers are asked to do more with less, adaptability is a critical asset. While Xilinx FPGAs and SoCs always provided the flexibility to perform on-site device reprogramming, current constraints including increased cost, tighter board space, and power consumption demand even more efficient design strategies. Xilinx Dynamic Function eXchange (DFX) extends the... » read more

ML Focus Shifting Toward Software
By Bryon Moyer - 03 Feb, 2022 - Comments: 1

New machine-learning (ML) architectures continue to garner a huge amount of attention as the race continues to provide the most effective acceleration architectures for the cloud and the edge, but attention is starting to shift from the hardware to the software tools. The big question now is whether a software abstraction eventually will win out over hardware details in determining who the f... » read more

Addressing Library Characterization And Verification Challenges Using ML
By Siemens EDA - 02 Feb, 2022 - Comments: 0

At advanced process nodes, Liberty or library (.lib) requirements are more demanding due to design complexities, increased number of corners required for timing signoff, and the need for statistical variation modeling. This results in an increase in size, complexity, and the number of .lib characterizations. Validation and verification of these complex and large .lib files is a challenging task... » read more

Inverse Design of Inflatable Soft Membranes Through Machine Learning
By Technical Paper Link - 27 Jan, 2022 - Comments: 0

Abstract "Across fields of science, researchers have increasingly focused on designing soft devices that can shape-morph to achieve functionality. However, identifying a rest shape that leads to a target 3D shape upon actuation is a non-trivial task that involves inverse design capabilities. In this study, a simple and efficient platform is presented to design pre-programmed 3D shapes starting... » read more

Growth Spurred By Negatives
By Brian Bailey - 27 Jan, 2022 - Comments: 0

The success and health of the semiconductor industry is driven by the insatiable appetite for increasingly complex devices that impact every aspect of our lives. The number of design starts for the chips used in those devices drives the EDA industry. But at no point in history have there been as many market segments driving innovation as there are today. Moreover, there is no indication this... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy