AI Medical Compendium Topic

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

Computing Methodologies

Showing 21 to 24 of 24 articles

Clear Filters

Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...

Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors.

Combinatorial chemistry & high throughput screening
EGFR (ErbB-1/HER1) kinase plays an important role in cancer therapy. Two classification models were established to predict whether a compound is an inhibitor or a decoy of human EGFR (ErbR-1) by using Kohonen's self-organizing map (SOM) and support v...

Insect-inspired neuromorphic computing.

Current opinion in insect science
The steady improvement in the performance of computing systems seen for many decades is levelling off as the miniaturization of semiconducting technology approaches the atomic limit, facing severe physical and technological issues. Neuromorphic compu...

Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.

Neural networks : the official journal of the International Neural Network Society
Deep-Learning has become a leading strategy for artificial intelligence and is being applied in many fields due to its excellent performance that has surpassed human cognitive abilities in a number of classification and control problems (Ciregan, Mei...