tag: LANL

Research Bits: Dec. 5
By Jesse Allen - 05 Dec, 2022 - Comments: 0

Protonic programmable resistors for AI Researchers from the Massachusetts Institute of Technology (MIT) developed an analog deep learning processor based on protonic programmable resistors arranged in an array. In the processor, increasing and decreasing the electrical conductance of protonic resistors enables analog machine learning. The conductance is controlled by the movement of protons... » read more

Technical Paper Roundup: Sept 27
By Linda Christensen - 27 Sep, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=53 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

New Method of Comparing Neural Networks (Los Alamos National Lab)
By Technical Paper Link - 13 Sep, 2022 - Comments: 0

A new research paper titled "If You’ve Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases With Robustness" from researchers at Los Alamos National Laboratory (LANL) and was recently presented at the Conference on Uncertainty in Artificial Intelligence. The team developed a new approach for comparing neural networks and "applied their new metric of network simila... » read more

Training a Quantum Neural Network Requires Only A Small Amount of Data
By Technical Paper Link - 24 Aug, 2022 - Comments: 0

A new research paper titled "Generalization in quantum machine learning from few training data" was published by researchers at Technical University of Munich, Munich Center for Quantum Science and Technology (MCQST), Caltech, and Los Alamos National Lab. “Many people believe that quantum machine learning will require a lot of data. We have rigorously shown that for many relevant problems,... » read more

Week In Review: Design, Low Power
By Jesse Allen - 08 Jul, 2022 - Comments: 0

Tools, IP, design Infineon Technologies acquired NoBug, a provider of design verification services. The acquisition will help Infineon expand its IoT R&D business in eastern Europe. “This considerable increase in superior verification know-how lets Infineon offer its customers more of its leading products at a reduced time-to-market,” said Guenter Krasser, Vice President and Managing D... » read more

System Bits: Aug. 5
By Jeff Dorsch - 05 Aug, 2019 - Comments: 0

Algorithm could advance quantum computing Scientists at the Los Alamos National Laboratory report the development of a quantum computing algorithm that promises to provide a better understanding of the quantum-to-classical transition, enabling model systems for biological proteins and other advanced applications. “The quantum-to-classical transition occurs when you add more and more parti... » read more

Addressing Modern Bottlenecks With Smart Data Acceleration
By Steven Woo - 10 Dec, 2015 - Comments: 0

Over the past 30 years, the relentless progression of Moore’s Law has driven dramatic improvements in transistor counts and ultimately in processor performance. CPU performance was often the primary factor in determining overall system performance, leading us to believe that better CPUs led to better system performance. But, as processors have become more powerful, other subsystems have not k... » read more

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