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Robotic Plasma Cutting in a 3D World

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BEGIN ARTICLE PREVIEW: The three-dimensional world stretches even advanced industrial technology to its limits and poses new challenges for programming massively flexible robots. Undeterred in the face of challenge, ARC Specialties designed and built a turnkey solution for 3D robotic plasma cutting with the help of essential offline programming tools. With the right partners by your side, no challenge is too steep. Automating plasma cutting in three-dimensional space requires everyone involved to be at the top of their game. Programming a robot to maneuver the plasma torch at different angles and speeds, to create steady curves and smooth bevels, in three dimensions simultaneously is a tall order. ARC Specialties, Inc., thrives on solving problems. Leveraging nearly 40 years of metal joining and cutting experience, the Houston, Texas-based automation integrator has built machines for the consumer, oil and gas, defense and research industries in o


First year robotics program helping students excel at Perryton Junior High

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Students at Perryton Junior High are benefiting from a donation by Phillips 66 who is investing in the future of small-town Texas. "I am learning many things like how to be creative how to think out of the box," said Emanuel Soto, a student at Perryton Junior High. "I made a robot dance before this," said Elijah Garcia, a student at Perryton Junior High.


Future robot battle buddies may read your emotions to fight better

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The Army's plans for robotic wingmen in vehicle formations, a drone on every soldier and robotic mules carrying gear all aim to take the load off the fighter. But how will the two communicate, robot and human? Voice commands like automated assistants on smartphones are great, but not when the threat of incoming fire means the robot battle buddy needs to decipher a range of priorities that humans might take for granted. The next test will come in late 2021 and involve a company-sized maneuver at Fort Hood, Texas. Think more C3PO or R2D2 in the "Star Wars" movies than Hal in "2001: A Space Odyssey" --or better yet, a friendly cyborg from "Terminator" might be the best way to see your robot combatant squad mate of the distant future.


How a machine learning algorithm could identify the early stages of Alzheimer's in patients - Mental Daily

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A study published in the Journal of Medical Imaging unveils the use of machine learning to detect the early stages of Alzheimer's disease (AD) by functional magnetic resonance imaging. Alzheimer's disease is a neurodegenerative condition primarily occurring in late-adulthood and begins with symptoms of cognitive decline. Researchers from Texas Tech University developed a deep-learning algorithm called a convolutional neural network able to distinguish between the fMRI signals of healthy individuals, patients with mild cognitive impairment (MCI), and patients with Alzheimer's. "We present one such synergy of fMRI and deep learning, where we apply a simplified yet accurate method using a modified 3D convolutional neural networks to resting-state fMRI data for feature extraction and classification of Alzheimer's disease," the co-authors explained in their findings. "The convolutional neural network is designed in such a way that it uses the fMRI data with much less preprocessing, preserving both spatial and temporal information."


Ekkono's ML Innovation Wins Husqvarna Group's Sustainovate Open

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Husqvarna Group announces the winner of the first Sustainovate Open competition. Ekkono Solutions, a Swedish software startup, won the opportunity to develop Husqvarna's Automower robotic lawn mowers using its Edge Machine Learning software. Swedish startups with ideas contributing to the circular economy took on Husqvarna Group's first Sustainovate Open challenge earlier this year. After looking into a range of innovations with a strong field of finalists, the prize was awarded to Ekkono Solutions with a pilot budget of 300,000 SEK to develop their Proof of Concept. Together with Husqvarna Group they will scale the smart solution and explore opportunities to embed it into the company's range of robotic lawn mowers.


7 Ways AI Could Solve All Of Our Election Woes: Out With The Polls, In With The AI Models

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ARLINGTON, VIRGINIA - OCTOBER 31: A voter walks out of a polling station during early voting for the ... [ ] U.S. Presidential election on October 31, 2020 in Arlington, United States. With predictions of record turnout of 150 million people, representing 65% of eligible voters, we have to ask ourselves why we continue to rely on antiquated systems, paper ballots and inadequate machines to handle the most important day of our democracy. There is technology available today that can make every election day going forward safe, efficient, and most importantly, secure. If we look to AI and innovation, we can see the future of election day. No long lines, no waiting on ballots to be dumped and counted.



Robots are getting ready for clinical laboratories

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Will a Laboratory Robot replace Human Workforce? People looking for robots in clinical laboratories are likely to miss them at first glance. It's because today's robots seem like Star Wars's helpful and enterprising humanoid C-3PO character. Without designs inspired by the human body, these machines are now taking up the most repetitive laboratory tasks from human hands, and they will be everywhere soon. Robotics manufacturer, ABB Robotics, runs a new research centre at the Texas Medical Centre (TMC) Innovation Institute in Houston, foresees that the market for nonsurgical robots in healthcare will hit 60,000 by 2025, a fourfold increase from 2018, and 5,000 of those will be for laboratories. This inundation of robot assistants doesn't mean they will replace humans, said Jose Manuel Collados, healthcare solutions business line manager at ABB Robotics.


AI (Artificial Intelligence) Lessons From The World Series

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Snell, second from left, comes out of the game against the Dodgers in the 6th inning in Game 6 of the World Series at Globe Life Field on October 27, 2020 in Arlington, Texas. I'm a lifelong Dodgers fan and I waited for 32 years for the team to win another World Series. But during this period of time, the sport has certainly seen much change. With the availability of huge amounts of data, sophisticated computers and advanced analytics, the strategies have become increasingly based on the numbers. It seems that AI (Artificial Intelligence) has dominated the decision making process.


AI (Artificial Intelligence) Lessons From The World Series

#artificialintelligence

ARLINGTON, TEXAS - OCTOBER 27:Rays pitcher Blake Snell, second from left, comes out of the game ... [ ] against the Dodgers in the 6th inning in Game 6 of the World Series at Globe Life Field on October 27, 2020 in Arlington, Texas. I'm a lifelong Dodgers fan and I waited for 32 years for the team to win another World Series. But during this period of time, the sport has certainly seen much change. With the availability of huge amounts of data, sophisticated computers and advanced analytics, the strategies have become increasingly based on the numbers. It seems that AI (Artificial Intelligence) has dominated the decision making process.