Charting a New Course of Neural Networks with Transformers
A "transformer model" is a neural network architecture consisting of transformer layers capable of modeling long-range sequential dependencies that are suited …
What’s the Difference Between AI, ML, And Deep Learning?
AI, ML, and deep learning have distinct purposes and capabilities and mostly work as holistic units to deliver results and accomplish tasks.
Erasing Driver’s Distraction with Head Pose Detection
Head pose detection can be a gamechanger in assessing driver distraction. It can convey volumes of information about the driver.
Big Data Complexity Reduced with New Neural Net Algorithm
Researchers have developed a rigorous neural net algorithm designed to extract essential features of big data sets in one
