tag: AI

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

AI Everywhere: Accelerating Chip Design At Every Node
By Geetha Rangarajan - 10 Feb, 2022 - Comments: 0

Over the last few years, artificial Intelligence (AI) has increasingly played a significant role in the chip development process. But, when people talk about AI-designed chips, it is usually in the context of the latest, cutting-edge designs manufactured at advanced process nodes (7/5nm and smaller) and for good reason. Such designs constantly push the bounds of power, performance, and area (PP... » 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

Ensuring Functional Safety For Automotive AI Processors
By Frank Schirrmeister - 03 Feb, 2022 - Comments: 0

Safety is critically important across the automotive, industrial, and aerospace and defense industries. For instance, Cadence's work with Hailo illustrates how advances in semiconductor technology and EDA deliver safe electronics without compromising low power and cost. Hailo's automotive webpage starts with the words "The pursuit for 'vision zero,'" reflecting that European road fatalitie... » 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

Three Technologies Enabling The Next Decade Of Hyperconnectivity
By Frank Schirrmeister - 27 Jan, 2022 - Comments: 0

As it has become a tradition in my 15 years of blogging, January is a month of both reflection and outlook. At the beginning of 2022, I am excited that key themes from 5 and 10 years ago—3D integration, artificial intelligence and machine learning (AI/ML), and ubiquitous needs for more connectivity driving 4G and 5G networks—clearly have exceeded expectations and forecasts from that time. L... » read more

Future Challenges For Advanced Packaging
By Mark LaPedus - 20 Jan, 2022 - Comments: 1

Michael Kelly, vice president of advanced packaging development and integration at Amkor, sat down with Semiconductor Engineering to talk about advanced packaging and the challenges with the technology. What follows are excerpts of that discussion. SE: We’re in the midst of a huge semiconductor demand cycle. What’s driving that? Kelly: If you take a step back, our industry has always ... » read more

Is Programmable Overhead Worth The Cost?
By Brian Bailey - 13 Jan, 2022 - Comments: 0

Programmability has fueled the growth of most semiconductor products, but how much does it actually cost? And is that cost worth it? The answer is more complicated than a simple efficiency formula. It can vary by application, by maturity of technology in a particular market, and in the context of much larger systems. What's considered important for one design may be very different for anothe... » 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

A Practical Approach To DFT For Large SoCs And AI Architectures, Part I
By Rahul Singhal - 11 Jan, 2022 - Comments: 0

The traditional processors designed for general-purpose applications struggle to meet the computing demands and power budgets of artificial intelligence (AI) or machine leaning (ML) applications. Several semiconductor design companies are now developing dedicated AI/ML accelerators that are optimized for specific workloads such that they deliver much higher processing capabilities with much low... » read more

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