Categories: AI/ML News

A quantum neural network can see optical illusions like humans do. Could it be the future of AI?

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a phenomenon called “quantum tunneling” to design a neural network that can “see” optical illusions in much the same way humans do.

Optical neural networks hold promise for image processing

Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible to build faster, smaller and more energy-efficient image sensors.

April 28, 2023

In "AI/ML News"

How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket

July 18, 2024

In "FAANG"

‘Optical neural engine’ can solve partial differential equations

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive power when it comes to complex physical systems. Solving these equations is a perpetual challenge, however, and current computational techniques for doing so are time-consuming and expensive.

June 11, 2025

In "AI/ML News"

AI Generated Robotic Content