Security Becomes Much Bigger Issue For AI/ML Chips, Tools


Security is becoming a bigger issue in AI and machine learning chips, in part because the chip industry is racing just to get new devices working, and in part because it's difficult to secure a new technology that is expected to adapt over time. And unlike in the past, when tools and methodologies were relatively fixed, nearly everything is in motion. Algorithms are being changed, EDA tools ... » read more

Chip Industry’s Technical Paper Roundup: May 16


New technical papers recently added to Semiconductor Engineering’s library: [table id=103 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

Rethinking Engineering Education In The U.S.


The CHIPS Act, as well as the ongoing need for talent, is causing both industry and academia in America to rethink engineering education, resulting in new approaches and stronger partnerships. As an example, Arizona State University (ASU) now has a Secure, Trusted, and Assured Microelectronics Center (STAM). The center offers an interdisciplinary approach to learning secure and trusted semic... » read more

Research Bits: May 10


Growing 2D TMDs on chips Researchers from Massachusetts Institute of Technology (MIT), Oak Ridge National Laboratory, and Ericsson Research found a way to “grow” layers of 2D transition metal dichalcogenide (TMD) materials directly on top of a fully fabricated silicon chip, a technique they say could enable denser integrations. The researchers focused on molybdenum disulfide, which is f... » read more

Toolbox For Designing Heterogeneous Quantum Systems


A new technical paper titled "Microarchitectures for Heterogeneous Superconducting Quantum Computers" was published by researcher at: Pacific Northwest National Laboratory, Princeton University, University of Chicago, Rutgers University, MIT, Brookhaven National Laboratory, and Infleqtion. Abstract: "Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, ... » read more

Chip Industry’s Technical Paper Roundup: May 8


New technical papers recently added to Semiconductor Engineering’s library: [table id=102 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

New Low-Temp Growth & Fabrication Technology Allowing Integration of 2D Materials Directly Onto A Silicon Circuit (MIT)


A new technical paper titled "Low-thermal-budget synthesis of monolayer molybdenum disulfide for silicon back-end-of-line integration on a 200 mm platform" was published by researchers at MIT, Oak Ridge National Laboratory, and Ericsson Research. According to this MIT news article: "Growing 2D materials directly onto a silicon CMOS wafer has posed a major challenge because the process u... » read more

Week In Review: Semiconductor Manufacturing, Test


The U.S. Commerce Department  launched Chips.gov, a website that covers all aspects of the CHIPS Act, including funding opportunities and job openings. In similar vein, Intel CEO Pat Gelsinger focused on the future of semiconductor manufacturing in America in a talk at MIT. Intel has committed to expanding semiconductor manufacturing in the U.S., including spending an initial $20 billion on ne... » read more

Research Bits: April 10


Meminductor identified Researchers at Texas A&M University identified the meminductor circuit unit. Similar to the memristor and the memcapacitor, a meminductor has a memory-like nature where its properties are dependent on previous values. The resistor, capacitor, and inductor comprise the three classical circuit elements. The memristor and the memcapacitor, while earlier theorized, ha... » read more

Week In Review: Design, Low Power


MLCommons debuted the latest results for the MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the performance and power-efficiency of applying a trained machine learning model to new data in data center, edge, and mobile use cases. Overall, MLCommons said the results showed both power efficiency improvements and significant gains in performance in some benchmark tests. Seve... » read more

← Older posts