Research Bits: Jan. 24


Transistor-free compute-in-memory Researchers from the University of Pennsylvania, Sandia National Laboratories, and Brookhaven National Laboratory propose a transistor-free compute-in-memory (CIM) architecture to overcome memory bottlenecks and reduce power consumption in AI workloads. "Even when used in a compute-in-memory architecture, transistors compromise the access time of data," sai... » read more

The Good And Bad Of Bi-Directional Charging


Auto OEMs are starting to offer bi-directional charging in EVs, allowing batteries to power homes during outages or wherever else it is needed, and to smooth out any hiccups in the grid. But this technology also can shorten the lifetime of batteries, and it can open the door to more cyberattacks. The idea behind bi-directional charging is simple enough. EVs can store huge amounts of power, a... » read more

Chip Industry’s Technical Paper Roundup: Nov. 29


New technical papers added to Semiconductor Engineering’s library this week. [table id=66 /]   Related Reading: Chip Industry’s Technical Paper Roundup: Nov. 21 New papers: lithography modeling; solving Rowhammer; energy-efficient batch normalization HW; 3-to-1 reconfigurable analog signal modulation circuit; lateral double magnetic tunnel junction; reduce branch mispredic... » read more

EV Charging Cybersecurity Challenges (Sandia National Labs)


A technical paper titled "Review of Electric Vehicle Charger Cybersecurity Vulnerabilities, Potential Impacts, and Defenses" was published by researchers at Sandia National Laboratories. Abstract: "Worldwide growth in electric vehicle use is prompting new installations of private and public electric vehicle supply equipment (EVSE). EVSE devices support the electrification of the transportat... » read more

Chip Industry’s Technical Paper Roundup: Oct 25


New technical papers added to Semiconductor Engineering’s library this week. [table id=59 /] » read more

Nonvolatile ECRAM With A Short-Circuit Retention Time Several Orders of Magnitude Higher Than Previously Shown


A new technical paper titled "Nonvolatile Electrochemical Random-Access Memory Under Short Circuit" was published by researchers at University of Michigan and Sandia National Laboratories. Abstract "Electrochemical random-access memory (ECRAM) is a recently developed and highly promising analog resistive memory element for in-memory computing. One longstanding challenge of ECRAM is attainin... » read more

Biocompatible Bilayer Graphene-Based Artificial Synaptic Transistors (BLAST) Capable of Mimicking Synaptic Behavior


This new technical paper titled "Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing" was published by researchers at The University of Texas at Austin and Sandia National Laboratories. Abstract "CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to para... » read more

Week In Review: Design, Low Power


Deals Utilidata and Nvidia are teaming up on a software-defined smart grid chip that can be embedded in smart meters to with the aim of improving grid resiliency and integrating distributed energy resources (DERs) such as solar, storage, and electric vehicles. The U.S. Department of Energy’s National Renewable Energy Laboratory (NREL) will test the software-defined smart grid chip as a way t... » read more

Manufacturing Bits: Sept. 14


Probabilistic computers Sandia National Laboratories and others are developing what researchers call a probabilistic computer. Instead of traditional computing, Sandia is developing a system with built-in randomness that computes information differently every time. As part the research program, the Department of Energy awarded the project $6 million over the next three years to develop t... » read more

The Great Quantum Computing Race


Quantum computing is heating up, as a growing number of entities race to benchmark, stabilize, and ultimately commercialize this technology. As of July 2021, a group from China appears to have taken the lead in terms of raw performance, but Google, IBM, Intel and other quantum computer developers aren’t far behind. All of that could change overnight, though. At this point, it's too early t... » read more

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