Search Publications

Displaying 101 - 125 of 433

Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges

July 19, 2022

Author(s)

Axel Hoffmann, Shriram Ramanathan, Julie Grollier, Andrew Kent, Marcelo Rozenberg, Ivan Schuller, Oleg Shpyrko, Robert Dynes, Yeshaiahu Fainman, Alex Frano, Eric Fullerton, Giulia Galli, Vitaliy Lomakin, Shyue Ping Ong, Amanda K. Petford-Long, Jonathan A. Schuller, Mark Stiles, Yayoi Takamura, Yimei Zhu

Neuromorphic computing approaches become increasingly important as we address future needs for efficiently processing massive amounts of data. The unique attributes of quantum materials can help address these needs by enabling new energy-efficient device

Associative memories using complex-valued Hopfield networks based on spin-torque oscillator arrays

July 14, 2022

Author(s)

Nitin Prasad, Prashansa Mukim, Advait Madhavan, Mark Stiles

Simulations of complex valued Hopfield networks based on spin-torque oscillators can recover phase-encoded images. Sequences of memristor-augmented inverters provide tunable delay elements that implement complex weights by phase shifting the oscillatory

Discovery of digital forensic dataset characteristics with CASE-Corpora

July 11, 2022

Author(s)

Alexander Nelson

The digital forensics community has generated training and reference data over the course of decades. However, significant challenges persist today in the usage pipeline for that data, from research problem formulation, through discovery of applicable

Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT based models

July 1, 2022

Author(s)

Sarala Padi, Omid Sadjadi, Dinesh Manocha, Ram Sriram

Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior

Spatiotemporal Monitoring of Melt-Pool Variations in Metal-Based Additive Manufacturing

July 1, 2022

Author(s)

Siqing Zhang, Yan Lu, Paul Witherell, Timothy Simpson, Soundar Kumara, Hui Yang

Additive manufacturing provides a higher level of flexibility to build customized products with complex geometries. However, AM is currently limited in its ability to ensure quality assurance and process repeatability. Advanced imaging provides unique

Interpretable modeling of genotype-phenotype landscapes withstate-of-the-art predictive power

June 21, 2022

Author(s)

Peter Tonner, Abe Pressman, David J. Ross

Large-scale measurements linking genetic background to biological function have drivena need for models that can incorporate these data for reliable predictions and insightinto the underlying biophysical system. Recent modeling efforts, however, prioritize

Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021

June 15, 2022

Author(s)

George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot

ARL Battlespace: A Platform for Developing Novel AI for Complex Adversarial Reasoning in MDO

June 6, 2022

Author(s)

Simon Su

A barrier to developing novel AI for complex reasoning is the lack of appropriate wargaming platforms for training and evaluating AIs in a multiplayer setting combining collaborative and adversarial reasoning under uncertainty with game theory and

Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons

May 31, 2022

Author(s)

Shangjie Guo, Sophia Koh, Amilson R. Fritsch, Ian Spielman, Justyna Zwolak

In ultracold-atom experiments, data often comes in the form of images which suffer information loss inherent in the techniques used to prepare and measure the system. This is particularly problematic when the processes of interest are complicated, such as

Gauging the difficulty of image segmentation

May 19, 2022

Author(s)

Marek Franaszek

Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the

Machine learning enabling high-throughput and remote operations at large-scale user facilities

May 18, 2022

Author(s)

Bruce D. Ravel, Tatiana Konstantinova, Phillip Michael Maffettone, Stuart Campbell, Andi Barbour, Daniel Olds

Imaging, scattering, and spectroscopy are fundamental in understanding and discovering new functional materials. Contemporary innovations in automation and experimental techniques have led to these measurements being performed much faster and with higher

Machine Learning-Based Algorithmically Generated Domain Detection

May 1, 2022

Author(s)

Zheng Wang, Yang Guo, Douglas Montgomery

Malware like botnets typically uses domain generation algorithms (DGAs) to dynamically produce a large number of random algorithmically generated domains (AGDs) and use a few of them to communicate with the command and control servers. AGD detection

Use of Supervised Machine Learning to Detect Abuse of COVID-19 Related Domain Names

May 1, 2022

Author(s)

Zheng Wang, Douglas Montgomery

A comprehensive evaluation of supervised machine learning models for the COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are

Data-Driven RRAM Device Models using Kriging Interpolation

April 8, 2022

Author(s)

Imtiaz Hossen, Mark Anders, Lin Wang, Gina Adam