The Best DRAMs For Artificial Intelligence


Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

Verification Software And Methodology Insights


Earlier this month, I had the opportunity to attend CadenceLIVE Silicon Valley 2025. Among the many engaging sessions, the Verification Software track highlighted how leading companies are advancing verification methodologies to meet the demands of increasingly complex designs. The track featured seven presentations from industry leaders, each offering a unique perspective on how SVG’s verif... » read more

Measurements and Simulation-Based Characterization Of eFuses


In conventional safety systems, the off state can be assumed to be safe. With ADAS, this is no longer automatically the case. This makes it necessary to adopt new approaches to fuse protection, which will subsequently spread to other industries. Traditionally, the vehicle electrical system was protected by sacrificial fuses. These reliably disconnect the power supply in the event of overcurr... » read more

Introducing a Digital Engineering Methodology To Aid All Engineers


A systems engineer developing a novel system-on-a-chip (SoC) design. A CFD engineer studying the airflow over the wing of a new electric airplane design. A safety engineer reviewing the design of a new pacemaker to confirm that it is compliant with existing regulations and requirements. What do all these people have in common? One connecting thread is the ever-present need to efficiently col... » read more

Configurability In The Design Of Integrated Chipsets


The semiconductor industry is experiencing significant changes as the requirements for processing data are evolving. Computing systems must manage unparallel massive amounts of data created by users, whether machines or humans. Artificial Intelligence is the mechanism by which this data gets processed, and it is driving a rethinking of the architectures of the computing systems. In conjunction ... » read more

Designing For Reliability With A System Life Estimator


From big machines to small handheld equipment, all typically come with varying warranty timelines based on estimations. If this number is overestimated or underestimated, it can incur millions of dollars in losses to manufacturers. That’s why it’s important to look at the lifetime system estimation as a bottom-up process. The efficiency in this approach results in a robust method to formula... » read more

Research Bits: June 9


InGaOx GAA transistor Researchers from the University of Tokyo created a gate-all-around transistor made from gallium-doped indium oxide (InGaOx). Doping indium oxide with gallium suppressed oxygen vacancies, improving transistor reliability. "We wanted our crystalline oxide transistor to feature a 'gate-all-around' structure, whereby the gate, which turns the current on or off, surrounds t... » read more

Connecting AI Accelerators


Experts At The Table: Semiconductor Engineering sat down to discuss the various ways that AI accelerators are being applied today with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vice president of marketing at Expedera; Alexander Petr, senior director at Keysight; Steve Roddy, chief marketing office... » read more

Research Bits: June 3


Imaging power electronics Researchers from the Institute of Science Tokyo, Harvard University, and Hitachi used diamond quantum sensors to analyze the magnetization response of soft magnetic materials used in power electronics. The method can simultaneously image both the amplitude and phase of AC stray fields over a wide frequency range up to 2.3 MHz. It uses a diamond quantum sensor with ... » read more

Research Bits: May 27


Tracking ferroelectric domain walls Researchers from Oak Ridge National Laboratory and National Cheng Kung University developed a technique called scanning oscillator piezoresponse force microscopy to observe how domain walls move in ferroelectric materials under rapidly fluctuating electric fields. “Domain walls can have completely different properties from the neighboring domains they s... » read more

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