Lifeboat Foundation

Sylvia Todd, star of Sylvia’s Super-Awesome Maker Show, came up with the idea for the WaterColorBot because she wanted to create an art robot and enter it in the RoboGames competition. She approached us at Evil Mad Scientist Laboratories about collaborating on the project, and we loved it.

Together we designed and built our first prototype in February, and had a nicely-working robot about a month later. As we realized that this project had a lot of appeal beyond just a one-off project, we started developing it into a kit. Sylvia exhibited her prototype at RoboGames (and won a Silver medal), and we also brought the WaterColorBot to Maker Faire, where thousands of people got to play with it.

Sylvia was also invited to the White House Science Fair in April, where she got to demonstrate the WaterColorBot for President Obama (pictures and media coverage here).

Circa 2016

EDavid stands for the Drawing Apparatus for Vivid Interactive Display.

Continue reading “Meet The Van Gogh Of The Robot World” »

Circa 2020

Rob and Nick Carter are artists whose work aims to synchronize technology and painting. They program industrial to autonomously paint portraits using acrylics and brushes.

Continue reading “Watch ROBOTS Painting PERFECT Portraits | Strictly Robots” »

These organism engineers are using robots and automation to build completely new forms of life 🤯.

“I enjoy being someone who makes people happy.”

Ai-Da is the world’s first robot artist, whose works are now going on display to showcase what the technology can do. 🤖

https://bbc.in/3ufoqaJ

Robots are taking over low-paid and increasingly risky jobs in recycling, keeping the industry churning.

Bionic arms used to cost $80,000. Now, a young engineer has lowered the cost by over 90%.

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Continue reading “3D printed, mind-controlled prosthetics are here | Challengers” »

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University of Advancing Technology’s Artificial Intelligence (AI) degree explores the theory and practice of engineering tools that simulate thinking, patterning, and advanced decision behaviors by software systems. With inspiration derived from biology to design, UAT’s Artificial Intelligence program teaches students to build software systems that solve complex problems. Students will work with technologies including voice recognition, simulation agents, machine learning (ML), and the internet of things (IoT).

Students pursuing this specialized computer programming degree develop applications using evolutionary and genetic algorithms, cellular automata, artificial neural networks, agent-based models, and other artificial intelligence methodologies. UAT’s degree in AI covers the fundamentals of general and applied artificial intelligence including core programming languages and platforms used in computer science.

Continue reading “UAT Virtual Let’s Talk Tech Open House” »

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study published in Radiology: Artificial Intelligence.

“This is the first study to address the most common intracranial tumors and to directly determine the tumor class or the absence of tumor from a 3D MRI volume,” said Satrajit Chakrabarty, M.S., a doctoral student under the direction of Aristeidis Sotiras, Ph.D., and Daniel Marcus, Ph.D., in Mallinckrodt Institute of Radiology’s Computational Imaging Lab at Washington University School of Medicine in St. Louis, Missouri.

The six most common intracranial tumor types are high-grade glioma, low-grade glioma, brain metastases, meningioma, pituitary adenoma and acoustic neuroma. Each was documented through histopathology, which requires surgically removing tissue from the site of a suspected cancer and examining it under a microscope.