AIMC Topic: Software

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Changes in software as a medical device based on artificial intelligence technologies.

International journal of computer assisted radiology and surgery
PURPOSE: to develop a procedure for registering changes, notifying users about changes made, unifying software as a medical device based on artificial intelligence technologies (SaMD-AI) changes, as well as requirements for testing and inspections-qu...

Monitoring and Analysis of Youth Sports Physique by Intelligent Medical Robot Based on Cognitive Computing.

Computational intelligence and neuroscience
As a key part of promoting the physical health of the people and promoting social progress, sports has ushered in comprehensive vitality. More and more people's attention has been paid to the physical health status, especially the physical status of ...

Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers.

Sensors (Basel, Switzerland)
Development and operations (DevOps), artificial intelligence (AI), big data and edge-fog-cloud are disruptive technologies that may produce a radical transformation of the industry. Nevertheless, there are still major challenges to efficiently applyi...

Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks.

Scientific reports
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used i...

Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.

Science (New York, N.Y.)
INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of eukaryotic cells that regulates import and export of biomolecules between the nucleus and the cytosol, with vertebrate NPCs ~110 to 125 MDa in molecular m...

Enhancing Text Generation via Parse Tree Embedding.

Computational intelligence and neuroscience
Natural language generation (NLG) is a core component of machine translation, dialogue systems, speech recognition, summarization, and so forth. The existing text generation methods tend to be based on recurrent neural language models (NLMs), which g...

Contrastive representation learning of inorganic materials to overcome lack of training datasets.

Chemical communications (Cambridge, England)
Data representation forms a feature space where forms data distribution that is one of the key factors determining the prediction accuracy of machine learning (ML). In particular, the data representation is crucial to handle small and biased training...

Critical features identification for chemical chronic toxicity based on mechanistic forecast models.

Environmental pollution (Barking, Essex : 1987)
Facing billions of tons of pollutants entering the ocean each year, aquatic toxicity is becoming a crucial endpoint for evaluating chemical adverse effects on ecosystems. Notably, huge amount of toxic chemicals at environmental relevant doses can cau...

Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics.

IEEE transactions on pattern analysis and machine intelligence
This paper proposes a novel pretext task to address the self-supervised video representation learning problem. Specifically, given an unlabeled video clip, we compute a series of spatio-temporal statistical summaries, such as the spatial location and...

GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set.

IEEE transactions on pattern analysis and machine intelligence
Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applications in crime prevention, forensic identification, and social security. To portray a gait, existing gait recognition methods utilize either a gait tem...