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PirateNets: Efficient, Scalable, And Robust Neural Network Architecture For Physics-Informed Deep Learning

Physics-Informed Residual Adaptive Networks (PirateNets) is a neural network architecture designed to enable efficient and stable training of deep Physics-Informed Neural Networks (PINNs).

Published: 11/25/2025

High Quality, Differentiable, Imaging Method for Improving Computed Tomography (CT) Images

A method of CT imaging where the techniques of using non-circular orbits around the target and spectral imaging are combined resulting in fewer metal artifacts and higher image quality.

Published: 8/1/2025

MRI Scan Time Reduction Method Using Deep Learning

A reconstruction algorithm based on a generative diffusion model for multi-coil, highly undersampled non-Cartesian MRI allowing drastic reduction of scan time

Published: 8/1/2025

SMOOTHLLM: Defending Large Language Models Against Jailbreaking Attacks

An algorithm designed to defend Large Language Models (LLMs) against jailbreaking attacks that significantly reduces attack success rates.

Published: 8/21/2025

NetSpec: An Automatic And Fast Network Specification Synthesis Toolkit

A specification-by-example toolkit that generates formal network specifications using only input-output examples.

Published: 11/19/2024

An Adaptive, Language-Agnostic, and Generalizable Method to Determine the Hearing Level and Speech Perception Abilities of a Patient

This hearing test is tuned to a patient’s hearing level and changes based on performance to accurately diagnose hearing ability

Published: 8/25/2025

SCALPEL or Secure Compartments Automatically Learned and Protected by Execution Using Lightweight Metadata

SCALPEL is a lightweight optimization tool for automatically compartmentalizing policies for hardware-accelerated enforcement in a tagged architecture. The tool also creates a layer or protection (or hardening) by learning and allowing certain privileges based on learned expectations.

Published: 9/26/2025

High-Speed Computational Architecture For Reduced Latency In Big Data Processing

Novel computational architecture designs to reduce the latency time to process large volumes of data utilizing the reconfiguration of memory and storage; streamlining read/write functions to include computational logic within the register file; and programmable schedule and memory utilization within a configurable load/store unit.

Published: 9/10/2025

Augmented Reality Interface for Radiation-Free Screw Insertion during Intramedullary Nail Insertion for Long Bone Fractures

The NailedIt Augmented Reality (AR) Surgical Navigation System, comprised of a Windows-based desktop application, augmented reality headsets (HMDs) worn by surgeons, handheld mobile devices supporting remote viewing and surgical site annotation, and spatially tracked medical devices and instruments, assists and guides surgeons while they perform orthopedic surgical tasks using an immersive augmented reality user interface.

Published: 9/8/2025
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