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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: 8/2/2024

Virtual QA with High Predicted Accuracy for IMRT Treatment Plans

The course of radiation treatment of cancer patients has three major phases:

  1. Diagnostic and Prescription;
  2. Simulation and Quality Assurance; and
  3. Delivery.

In Simulation and Quality Assurance (QA), a specific plan on how to deliver the prescribed radiation to the tumor is developed. Penn scientists have developed a software-based virtual Intensity Modulated Radiation Therapy (IMRT) Quality Assurance model that extracts features associated with failure modes (between the treatment planning system and the linear accelerators) and uses machine learning to learn from pass plans in order to accurately predict the gamma passing rates. This method could save on the time and cost of QA, and reduce the number of replans needed.

Published: 6/24/2024

Efficient Data Processing: TeShu Unleashes Speed, Adaptability, And Simplified Optimization

A versatile system that optimizes and adapts data shuffling in distributed systems, simplifying complex operations and enhancing overall performance.

Published: 6/18/2024

Human-AI Hybrid Intelligence Model to Accurately Recognize and Segment Organs on Medical Scans 70% Faster Than Physicians

AAR-DL (Automatic Anatomy Recognition – Deep Learning) is a hybrid intelligence recognition and delineation segmentation model that outputs automatically delineated organs in medical images by combining natural intelligence’s (i.e., human knowledge’s) and artificial intelligence's strengths to map organs and their boundaries in the given images.

Published: 6/24/2024

Versatile Algorithm For Safe And Accurate Deep Learning

Model-based robust deep learning algorithms allow for more accurate and robust predictions in varying environmental conditions.

Published: 10/16/2023

Coherent Generation Of High-Dimensional Structured Light Using A Hyperdimensional Spin-Orbit Microlaser

The current invention describes next-generation high-capacity noise-resilient communication and computing technology. The invention describes a method to coherently generate high-dimensional structured light, including spin-orbit states, in an integrated and scalable way.

Published: 10/16/2023
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