ExplainingComputers explores Edge computing definitions and concepts.

This non-technical video focuses on edge computing and cloud computing, as well as edge computing and the deployment of vision recognition and other AI applications.

Also introduced are mesh networks, SBC (single board computer) edge hardware, and fog computing.

Researchers at IBM have drafted some new algorithms designed specifically to take advantage of quantum computers’ unique properties. The only catch is that we still need to build the computer.

While designing algorithms before the computers themselves may sound backwards, this has happened before. Computational models for conventional computers date back to the 1800s when Charles Babbage and Ada Lovelace were pondering mechanical computing devices

From the article:

“We’ve developed a blueprint with new quantum data classification algorithms and feature maps. That’s important for AI because, the larger and more diverse a data set is, the more difficult it is to separate that data out into meaningful classes for training a machine learning algorithm. Bad classification results from the machine learning process could introduce undesirable results; for example, impairing a medical device’s ability to identify cancer cells based on mammography data.”

IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don’t have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum […]

Dr. Talia Gershon, a materials scientist by training, came to IBM Research in 2012.

After over 4 years of developing next-generation solar cell materials, she got inspired to learn about quantum computing because it might enable all kinds of discoveries (including new materials).

Having authored the Beginner’s Guide to the QX, she passionately believes that anyone can get started learning quantum!