category: Top Stories

category: Auto, Security & Edge AI

Tracking Automotive’s Rapidly Shifting Ecosystem
By Ann Mutschler - 02 Apr, 2020 - Comments: 0

The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

New Ways To Optimize Machine Learning
By Bryon Moyer - 02 Apr, 2020 - Comments: 1

As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

More Multiply-Accumulate Operations Everywhere
By Ed Sperling - 02 Apr, 2020 - Comments: 1

Geoff Tate, CEO of Flex Logix, sat down with Semiconductor Engineering to talk about how to build programmable edge inferencing chips, embedded FPGAs, where the markets are developing for both, and how the picture will change over the next few years. SE: What do you have to think about when you're designing a programmable inferencing chip? Tate: With a traditional FPGA architecture you ha... » read more

How And Where ML Is Being Used In IC Manufacturing
By Mark LaPedus - 01 Apr, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Medical, Industrial & Aerospace IC Design Changes
By Ann Mutschler - 30 Mar, 2020 - Comments: 0

Medical, industrial and aerospace chips are becoming much more complex as more intelligence is added into these devices, forcing design teams to begin leveraging tools and methodologies that typically have been used only at the leading-edge nodes for commercial applications. But as with automotive, the needs of these systems are changing quickly. In addition to strict quality, safety and sec... » read more

Why It’s So Hard To Create New Processors
By Brian Bailey - 26 Mar, 2020 - Comments: 1

The introduction, and initial success, of the RISC-V processor ISA has reignited interest in the design of custom processors, but the industry is now grappling with how to verify them. The expertise and tools that were once in the market have been consolidated into the hands of the few companies that have been shipping processor chips or IP cores over the past 20 years. Verification of a pro... » read more

Software-Defined Hardware Gains Ground — Again
By Ann Mutschler - 26 Mar, 2020 - Comments: 0

The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

Do You Trust Your IP Supplier?
By Brian Bailey - 26 Mar, 2020 - Comments: 0

How much do you trust your IP supplier, regardless of whether IP was developed in-house or by a third-party provider? And what implications does it have a system integrator? These are important questions that many companies are beginning to ask. Today, there are few methods, other than documentation, that provide the necessary information. The software industry may be ahead of the hardware i... » read more

What Machine Learning Can Do In Fabs
By Mark LaPedus - 25 Mar, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. L-R:... » read more

Memory Issues For AI Edge Chips
By Mark LaPedus - 23 Mar, 2020 - Comments: 3

Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

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