Search Results - artificial+intelligence+(ai)+%26+machine+learning

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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

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: 11/8/2024

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

Spine TK: Deep Learning AI Toolkit for Spine Health Assessment

Fast quantification of spine fractures, curvature, vertebral deformities, vertebral texture, vertebral strength, bone density, and intervertebral disk measurements using CT, MR, DXA, PET, or X-ray images for evaluation of spine health and surgery planning.

Published: 6/5/2024
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