Machine Learning Starts with a Biochip’s Function and Works Backward to Design Its Form

Computer simulations are invaluable tools in research and design. Used to predict the behavior of physical systems, these mathematical models can forecast the path of a hurricane, reveal the inefficiencies of a transportation network, replicate the birth of a galaxy, and more. Tweaking variables — for example, wind speed or ocean temperature in the case of hurricanes — produces different outcomes, enabling researchers to see multiple potential scenarios.


Release 2021a offers hundreds of new and updated features and functions in MATLAB and Simulink, along with three new products. Download it here!


New Algorithm Boosts Robustness of Robot Perception

When Vasileios Tzoumas, a research scientist at the Massachusetts Institute of Technology (MIT), visits a new city, he likes to explore by going for a run. And sometimes he gets lost. A few years ago, on a long run while in Osaka for a conference, the inevitable happened. But then Tzoumas spotted a 7-Eleven he remembered passing soon after leaving his hotel. …


The following post is from Christoph Stockhammer, here today to show how to use Reinforcement Learning for a very serious task: playing games. If you would like to learn more about Reinforcement Learning, check out a free, 2hr training called Reinforcement Learning Onramp.

In the 1970s, Pong was a very popular video arcade game. It is a 2D video game emulating table tennis, i.e. you got a bat (a rectangle) you can move vertically and try to hit a “ball” (a moving square). If the ball hits the bounding box of the game, it bounces back like a billiard ball…


© The Fitzwilliam Museum, Cambridge.

Using Deep Learning and Image Processing to Restore and Preserve Artwork

When Carola-Bibiane Schönlieb started her Ph.D. studies in mathematics in 2005, one of her first projects was to help restore a medieval fresco in Vienna. Once hidden by the walls of an old apartment, the remains of the painting were pockmarked with white holes, damage from the removal of the walls a few years prior. Instead of paint, solvents, or resin, Schönlieb’s restoration tools were algorithms. “There were some conservators from the University of Vienna who had started physically restoring this,” says Schönlieb. “Then we got to doing this digitally.”

After taking photographs of the damaged fresco, Schönlieb researched algorithms…


by Johanna Pingel

This is a guest post from Laura Martinez Molera, MathWorks Marketing lead for Machine Learning and Data Science.

Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Peter Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary, Afraz Jaffri, Shubhangi Vashisth,1st March 2021.

We’re thrilled to be recognized by Gartner as a “Leader” for the second year in a row, with the furthest placement for “completeness of vision” of all the Leaders in the Magic Quadrant.

I wanted to share this news and talk about how MathWorks thinks differently about AI.

AI continues to be a strategic priority for many of our customers in asset-centric organizations focusing on engineering and science, financial services, systems development, and operations. We are helping our customers…


by Johanna Pingel

Recently, I have been writing short Q&A columns on deep learning. I’m excited to share the latest article with you today: All About Pretrained Models. In this post, I’ll walk through the first of 3 questions answered in the column, with a link to more articles at the end.

Background: Choosing a pretrained model

You can see the latest pretrained models available on the MATLAB Github page where you’ll see there are many models to choose from. We have talked about pretrained models in blog in previous posts:


In honor of the International Day of Women and Girls in Science on February 11, we recognize three women using MATLAB for their PhD. You can find them on Instagram, sharing their journeys to inspire other women in STEM.

@thephdstudent

Annabelle Nwaokorie is a second year cancer research PhD student. She is 24 and from Dublin, Ireland, currently studying at University College Dublin (UCD). She has an honours Bachelor of Science degree in physics with medical physics and bioengineering and a masters degree in medical physics, graduating with first class honours in both degrees.

Her current field of discipline for her…


by Johanna Pingel

At MathWorks, we put a lot of energy and focus on trends for AI to inform product direction that influences capabilities we add to products, and see how well we can anticipate customers’ needs so that when the trend is realized, the tools are already there.

First, before diving into the trends, a quick note on COVID-19: I’m pretty sure no one could have accurately predicted this huge event and the impact it has had on all of us. …


Electrifying Commercial Vehicles with Hydrogen Fuel Cells

Shipping and seaport infrastructure are significant sources of greenhouse gas (GHG) emissions. According to the International Maritime Organization, maritime transport creates over 900 million tons of CO2 annually. Global economies rely on shipping to get their products to the consumer, with up to 90% of all foreign goods flowing through ports on container ships, but the toll on the environment is substantial. And those living near busy seaports are exposed to dangerous levels of air pollution caused by emissions from diesel engines on the commercial vehicles at the port.

For example, large industrial vehicles called container handlers load and unload…

MathWorks Editor

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