Tech Xplore on MSN

Microgrippers successfully developed to handle sub-millimeter-sized, complex objects

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...
Android Police

Machine Learning: Everything you need to know

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Nanopore signals and machine learning unlock new molecular analysis tool

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among ...

Decoding the magic of ANNs

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...
New Atlas

Ultra-efficient machine learning transistor cuts AI energy use by 99%

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new levels of ...