Difficult Memory Choices In AI Systems


The number of memory choices and architectures is exploding, driven by the rapid evolution in AI and machine learning chips being designed for a wide range of very different end markets and systems. Models for some of these systems can range in size from 10 billion to 100 billion parameters, and they can vary greatly from one chip or application to the next. Neural network training and infer... » read more

Challenges Linger For EUV


Semiconductor Engineering sat down to discuss lithography and photomask issues with Bryan Kasprowicz, director of technology and strategy and a distinguished member of the technical staff at Photronics; Harry Levinson, principal at HJL Lithography; Noriaki Nakayamada, senior technologist at NuFlare; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. To vie... » read more

Adaptive Test Gains Ground


Not all devices get tested the same way anymore, and that’s a good thing. Quality, test costs, and yield have motivated product engineers to adopt test processes that fall under the umbrella of adaptive test, which uses test data to modify a subsequent test process. But to execute such techniques requires logistics that support analysis of data, as well as enabling changes to a test based ... » read more

Does HW Vs. SW Choice Affect Quality And Reliability?


Electronic systems comprise both hardware and software. Which functions are implemented with hardware and which with software are decisions made based upon a wide variety of considerations, including concerns about quality and reliability. Hardware may intrinsically provide for higher device quality, but it is also the source of reliability concerns. This is in contrast with popular views of... » read more

Chips Good Enough To Bet Your Life On


Semiconductor Engineering sat down to discuss automotive electronics reliability with Jay Rathert, senior director of strategic collaborations at KLA; Dennis Ciplickas, vice president of advanced solutions at PDF Solutions; Uzi Baruch, vice president and general manager of the automotive business unit at OptimalPlus; Gal Carmel, general manager of proteanTecs' Automotive Division; Andre van de ... » read more

Dealing With Two Very Different Sides Of 5G


Semiconductor Engineering sat down to discuss 5G reliability with Anthony Lord, director of RF product marketing at FormFactor; Noam Brousard, system vice president at proteanTecs; Andre van de Geijn, business development manager at yieldHUB; and David Hall, head of semiconductor marketing at National Instruments. What follows are excerpts of that conversation. To view part one of this discussi... » read more

Growing Complexity Adds To Auto IC Safety Challenges


The automotive industry is working to streamline, automate and tame verification of automotive electronic control units, SoCs and other chips used in vehicles, many of which are becoming so complex and intertwined that progress is getting bogged down. Modern cars may have up to 100 ECUs, which control such vehicle functions as engine, powertrain, transmission, brakes, suspension, entertainme... » read more

New And Innovative Supply Chain Threats Emerging


The electronics supply chain is seeing evidence of increased sophistication in the counterfeiting of complex ICs and simple passives, both of which can impact the functioning and safety of the systems that use them. New technologies are being developed to build trust by helping to identify counterfeit devices before assembly and during failure analysis. It's too early to tell how effective t... » read more

Dealing With Security Holes In Chips


Semiconductor Engineering sat down to discuss security risks across multiple market segments with Helena Handschuh, security technologies fellow at Rambus; Mike Borza, principal security technologist for the Solutions Group at Synopsys; Steve Carlson, director of aerospace and defense solutions at Cadence; Alric Althoff, senior hardware security engineer at Tortuga Logic; and Joe Kiniry, princi... » read more

Speeding Up AI With Vector Instructions


A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

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