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Archive for the ‘robotics/AI’ category: Page 1027

Oct 14, 2022

The future of space construction may have just been revolutionized by a new walking robot

Posted by in categories: robotics/AI, space, sustainability

The E-Walker has been tried and tested on Earth, but it’s yet to prove itself in space.

Large construction projects in space may be one step closer to reality, thanks to a new walking space robot. Researchers have designed the E-Walker — a state-of-the-art walking robot — to take on the behemoth task of space construction. A robot prototype has already been tested here on Earth by assembling a 25m Large Aperture Space Telescope. The telescope would usually be built in space, which is the E-Walker’s future duty.

Doubling up on its potential duties, a smaller-scale prototype of the same robot has also been created and shows promise for large construction applications on Earth, such as maintenance of wind turbines.

Continue reading “The future of space construction may have just been revolutionized by a new walking robot” »

Oct 14, 2022

This Exoskeleton Uses Machine Learning to Put a Personalized Spring in Your Step

Posted by in categories: cyborgs, economics, information science, robotics/AI

“This exoskeleton personalizes assistance as people walk normally through the real world,” said Steve Collins, associate professor of mechanical engineering who leads the Stanford Biomechatronics Laboratory, in a press release. “And it resulted in exceptional improvements in walking speed and energy economy.”

The personalization is enabled by a machine learning algorithm, which the team trained using emulators—that is, machines that collected data on motion and energy expenditure from volunteers who were hooked up to them. The volunteers walked at varying speeds under imagined scenarios, like trying to catch a bus or taking a stroll through a park.

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Oct 14, 2022

Translation-invariant optical neural network for image classification

Posted by in category: robotics/AI

The classification performance of all-optical Convolutional Neural Networks (CNNs) is greatly influenced by components’ misalignment and translation of input images in the practical applications. In this paper, we propose a free-space all-optical CNN (named Trans-ONN) which accurately classifies translated images in the horizontal, vertical, or diagonal directions. Trans-ONN takes advantages of an optical motion pooling layer which provides the translation invariance property by implementing different optical masks in the Fourier plane for classifying translated test images. Moreover, to enhance the translation invariance property, global average pooling (GAP) is utilized in the Trans-ONN structure, rather than fully connected layers.

Oct 14, 2022

Scale hyperautomation in the cloud with Power Automate

Posted by in categories: innovation, robotics/AI

Power Automate is making it easier to scale hyperautomation across your enterprise. With new innovations for unattended Robotic Process Automation (RPA) in the cloud, AI-assistance, and starter kits to streamline your Center of Excellence (CoE), this is a session you won’t want to miss!

Speakers: * Joe Fernandez * Christy Jefson * Mustapha Lazrek * Ken Seong Tan * Stephen Siciliano * Taiki Yoshida.

Oct 14, 2022

Robot says AI is ‘threat and opportunity’ to artists during Lords address — video

Posted by in categories: media & arts, robotics/AI

A robot has addressed the House of Lords for the first time, telling a committee that artificial intelligence can be a ‘threat and opportunity’ to artists.

The robot, named Ai-Da and devised in Oxford by Aidan Meller, gave evidence to the communications and digital committee as part of an inquiry into the future of the arts, design, fashion and music industries and how AI might affect them.

With rapidly developing AI, growing accessibility to super computers and machine learning on the ride, Ai-Da – named after the computing pioneer Ada Lovelace – was created as a ‘comment and critique’ on rapid technological change.

Oct 13, 2022

‘Smart plastic’ material is step forward toward soft, flexible robotics and electronics

Posted by in categories: robotics/AI, wearables

Inspired by living things from trees to shellfish, researchers at The University of Texas at Austin set out to create a plastic much like many life forms that are hard and rigid in some places and soft and stretchy in others. Their success—a first, using only light and a catalyst to change properties such as hardness and elasticity in molecules of the same type—has brought about a new material that is 10 times as tough as natural rubber and could lead to more flexible electronics and robotics.

The findings are published today in the journal Science.

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Oct 13, 2022

When it comes to A.I., what would Jesus do?

Posted by in category: robotics/AI

Many have disparities about the superintelligence being bad but what if it was good? Also what if the superintelligence could be a good superintelligence. Many are agreeing with the fact that AI for good could mean another Era of prosperity.


A Vatican institute and major companies delivered a set of A.I. principles to Pope Francis.

Oct 13, 2022

Tiny Particles Work Collectively To Generate Complex Behavior

Posted by in categories: education, particle physics, robotics/AI

Simple microparticles can beat rhythmically together, generating an oscillating electrical current that could be used to power micro-robotic devices.

MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; engineering; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances. Their stated goal is to make a better world through education, research, and innovation.

Oct 13, 2022

This intense AI anger is exactly what experts warned of, w Elon Musk

Posted by in categories: Elon Musk, robotics/AI

AI, Ameca, Elon Musk and Boston Dynamics. A big month for AI. Please visit https://brilliant.org/digitalengine — a great place to learn about AI and STEM subjects. You can get started for free and the first 200 people will get 20% off a premium annual subscription.

Thanks to Brilliant for sponsoring this video.

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Oct 13, 2022

DeepMind breaks 50-year math record using AI; new record falls a week later

Posted by in categories: information science, mathematics, robotics/AI

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix multiplication, conquering a 50-year-old record. This week, two Austrian researchers at Johannes Kepler University Linz claim they have bested that new record by one step.

In 1969, a German mathematician named Volker Strassen discovered the previous-best algorithm for multiplying 4×4 matrices, which reduces the number of steps necessary to perform a matrix calculation. For example, multiplying two 4×4 matrices together using a traditional schoolroom method would take 64 multiplications, while Strassen’s algorithm can perform the same feat in 49 multiplications.