AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Computers

Showing 151 to 160 of 555 articles

Clear Filters

Custom Hardware Architectures for Deep Learning on Portable Devices: A Review.

IEEE transactions on neural networks and learning systems
The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, such as object detecti...

Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.

IEEE transactions on neural networks and learning systems
The ability to read, reason, and infer lies at the heart of neural reasoning architectures. After all, the ability to perform logical reasoning over language remains a coveted goal of Artificial Intelligence. To this end, models such as the Turing-co...

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.

Sensors (Basel, Switzerland)
Sensor fusion is the process of merging data from many sources, such as radar, lidar and camera sensors, to provide less uncertain information compared to the information collected from single source [...].

Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search.

Nature communications
Lifelong on-device learning is a key challenge for machine intelligence, and this requires learning from few, often single, samples. Memory-augmented neural networks have been proposed to achieve the goal, but the memory module must be stored in off-...

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction.

Sensors (Basel, Switzerland)
BACKGROUND: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilitation, and the training of patients with lower extremity motor dysfunction. Gait distinguishing betw...

FPGA Applied to Latency Reduction for the Tactile Internet.

Sensors (Basel, Switzerland)
Tactile internet applications allow robotic devices to be remotely controlled over a communication medium with an unnoticeable time delay. In bilateral communication, the acceptable round trip latency is usually 1 ms up to 10 ms, depending on the app...

Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.

BMC medical imaging
BACKGROUND: Nowadays doctors and radiologists are overwhelmed with a huge amount of work. This led to the effort to design different Computer-Aided Diagnosis systems (CAD system), with the aim of accomplishing a faster and more accurate diagnosis. Th...

A Practical Approach to the Analysis and Optimization of Neural Networks on Embedded Systems.

Sensors (Basel, Switzerland)
The exponential increase in internet data poses several challenges to cloud systems and data centers, such as scalability, power overheads, network load, and data security. To overcome these limitations, research is focusing on the development of edg...

A Neuromorphic Processing System With Spike-Driven SNN Processor for Wearable ECG Classification.

IEEE transactions on biomedical circuits and systems
This paper presents a neuromorphic processing system with a spike-driven spiking neural network (SNN) processor design for always-on wearable electrocardiogram (ECG) classification. In the proposed system, the ECG signal is captured by level crossing...

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.

IEEE transactions on biomedical circuits and systems
Human brain cortex acts as a rich inspiration source for constructing efficient artificial cognitive systems. In this paper, we investigate to incorporate multiple brain-inspired computing paradigms for compact, fast and high-accuracy neuromorphic ha...