Be the first to know.
Get our Computing  weekly email digest.

Category

Computing

ORGANIZATIONS.

SHAPING THE INDUSTRY.

University of Michigan

Higher Education

Work together. Create smart machines. Serve society. University of Michigan’s Robotics Institute aims to create a collaborative c...

40 Posts

Altair

Simulation

A global tech company providing software & cloud solutions in the areas of ...

16 Posts

Keysight Test and Measurements

Test and Measurement equipment

Keysight Technologies, Inc. (NYSE: KEYS) is a leading technology company th...

11 Posts

MistyWest

Engineering Design

An engineering design consultancy accelerating the world's transition to a ...

7 Posts

Qoitech

Test & Measurement, Energy optimization, Battery

Disruptive tools and solutions for energy optimization of battery-driven an...

6 Posts

View more

Latest Posts

In this article, we look at two tinyML projects for education. We show how Backyard Brains uses low-cost experiment kits to make neuroscience education more accessible. We also introduce our readers to a specialisation offered by Harvard & Google to help students learn tinyML like never before.

Applications of TinyML making specialised education more accessible

In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.

Applications of TinyML in healthcare for a safer future

Quantum computing. Unlike traditional computers that use bits, quantum computers use qubits to encode information as zeros or ones, or both at the same time.

A language for Quantum computing

Engineers at EPFL have developed a method for reading several qubits – the smallest unit of quantum data – at the same time. Their method paves the way to a new generation of even more powerful quantum computers.

Making quantum computers even more powerful

In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.

TinyML unlocks new possibilities for sustainable development technologies