by Lisa Harvey

What do you get when a psychology researcher and a visual artist collaborate? You get a visual illusion that boggles the brain, literally.

When you look at the “scintillating starburst” below, do you see it? Do you see shimmering rays emanating from the center? Well, your brain is tricking you. They aren’t there!

The “Scintillating Starburst.” (Image credit: Michael Karlovich/Recursia LLC)

According to CNET, “The “Scintillating Starburst” is a cleverly arranged collection of star polygons created by visual artist Michael Karlovich of Recursia Studios and New York University psychology researcher Pascal Wallisch.”

“The research illustrates how the brain ‘connects the dots’ to create a subjective…


Deep Learning Speeds Up Simulations for Cleaner Combustion

David Schmidt is protecting the environment, but not in the way he first intended. In engineering graduate school, his interest was nuclear fusion. A persuasive Ph.D. advisor guided him toward the physics of fuel injection, a process central to both inertial confinement fusion reactors and internal combustion engines, the advisor’s other line of research. With practical fusion reactors still decades away, Schmidt veered toward engines.

While electric cars may seem to be taking over, internal combustion engines (ICEs) will remain on the roads, seas, and tarmacs for decades to come. Schmidt’s work makes them cleaner and more efficient. “A new…


by Neha Goel

For today’s post, Maitreyee Mordekar would like to introduce you to Team KJSCE Robocon from K. J. Somaiya College of Engineering, Mumbai, India. The team has scored an All-India Rank 8 in National-DD Robocon 2020 along with obtaining the highest scores in Stage 1 and Stage 2 of the competition. The team will share their experience of using MATLAB and Simulink for designing their robots to play Rugby game. The stage is all yours!

Physical body simulations are a crucial part of the design for any robot builder. It gives the designer an idea about the feasibility…


by Johanna Pingel

This post is from Brian Douglas, YouTube Content Creator for Control Systems and Deep Learning Applications

For about a decade, I’ve wanted to implement this silly idea I had of measuring the acceleration of a person’s hand to count the number of times they high five throughout the day. I wasn’t sure how to accomplish this using the rule-based approaches to algorithm development that I was familiar with and so the project sat on hold. …


Building the Future of Clean Technology Through Community

In 2011, the founders of Greentown Labs were facing a wall. The five entrepreneurs out of the MIT ecosystem, Jason Hanna, Sam White, Sorin Grama, Jeremy Pitts, and Adam Rein, were already helming their own clean technology startups but found that the logistics necessary for fostering their companies — such as office and workshop space — were hard to come by. Far from deterred, the group decided that if they couldn’t find the right space for their companies, they’d build it.

The result was Greentown Labs, a shared physical environment where startup companies focusing on clean technology could colocate and…


by Lisa Harvey

Image credit: Durham Radio News.

“I’m headed off to college to study raw sewage,” said no one, ever. At least, I doubt that’s what any science-savvy college freshman would plan as a major. But it turns out that sewage may be a key to tracking and stopping outbreaks of COVID-19 and other epidemics, and scientists are turning into “poop-sleuths.”

That’s because people infected with COVID-19 shed traces of COVID in their waste. And, as The New York Times reported, “The coronavirus could turn sewage surveillance into a mainstream public health practice.”

Wastewater epidemiology

According to the Covid19Poops Dashboard, a directory of global efforts to…


by Neha Goel

Todays guest bloggers are Alex Silva da Purificação and Lucas Martins Ricardi from the — Piratas do Cerrado Baja SAE Team . They will ex plain how they have utilized MATLAB for predicting the dynamic behavior of a contin u ously variable transmission (CVT).

The continuously variable transmission (CVT) is an automotive automatic transmission concept capable of varying the transmission ratio continuously, with the possibility of keeping the engine rotation constant, and thus its torque and power delivery. …


by Hans Scharler

We were searching around for ThingSpeak IoT resources and noticed that Google was sharing the top questions related to ThingSpeak. Christopher Stapels and I thought that it would be fun to answer them and share them as a blog post. So, here we are.

How do you use ThingSpeak?

Some people use ThingSpeak for monitoring machine processes. This allows them to share the data with potential customers and ensure the process is within control. There are over a million ThingSpeak channels representing a vast assortment of projects. Some projects measure the temperature and humidity in one room, some projects include a global…


AI Modeling Technique from the Automotive Industry Improves Eye Surgery Results

A cataract is an opacity that forms within the lens of the eye, causing blurred vision. If the opacity is very dense, blindness may result. Millions of people turn to cataract surgery each year to restore their vision. During the procedure, an ophthalmologist surgically removes the natural lens of the patient’s eye and replaces it with an artificial one called an intraocular lens (IOL). Cataract patients rely on their surgeon’s training and experience. They also depend on the surgeon to select the correct power IOL. …


by Shounak Mitra

The following is a post from Shounak Mitra, Product Manager for Deep Learning Toolbox, here to talk about practical ways to work with TensorFlow and MATLAB.

In release R2021a, a converter for TensorFlow models was released as a support package supporting import of TensorFlow 2 models into Deep Learning Toolbox.

In this blog, we will explore the ways you can use the converter for TensorFlow models by looking at an example where we’ll import a ResNet50 pretrained model from TensorFlow into MATLAB and do the following:

To bring models trained in TensorFlow 2 into MATLAB, you can…

MathWorks Editor

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