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AI Takes the Stage at the Summer Olympics

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It might not be obvious from the TV coverage, but the Tokyo 2020 Olympics (which of course are being held in 2021) are infused with big data and AI to an extent never before experienced in an Olympic games. It's been 53 years since the Olympics officially adopted electronic time-keeping equipment to track racers in Olympic events. Omega's Magic Eye camera, which debuted in 1948, gave us the first of many "photo-finish" for track events, and was soon adopted in other events too. Now the technology is going up a notch in the Tokyo 2020 Olympics (which perhaps should have been called the 2021 games), and Omega is behind much of it. For example, Omega, which is the official timekeeper for 35 Olympic sports, is using cameras equipped with computer vision capabilities to track the movement of beach volleyball players, as well as the ball.


This robot made a 100,000-domino 'Super Mario Bros.' mural in 24 hours

Engadget

A new robot known as the Dominator has set a Guinness World Record for placing 100,000 dominos in just over 24 hours. Created by YouTuber and former NASA engineer Mark Rober, the Dominator is the result of more than five years of work. Rober had help from two freshmen from Stanford University and a Bay Area software engineer in creating the googly-eyed robot. The group programmed more than 14,000 lines of code, and outfitted it with components like omnidirectional wheels and 3D-printed funnels to create what Rober says is a "friendly robot that's super good at only one thing: setting up a butt-ton of dominos really, really fast." Up against professional domino artist Lily Hevesh, the Dominator used its ability to lay down 300 tiles all at once to work about 10 times faster than a human. It took the robot about two hours to put down over 9,000 dominos.


Two-legged robot called Cassie makes history by completing 5K run in 53 minutes

Daily Mail - Science & tech

Cassie has made history as the first bipedal robot to complete a five-kilometer (5K) run, having done so in just over 53 minutes. Developed by Oregon State University, the two-legged machine with knees that bend like those of an ostrich, taught itself how to run through a deep reinforcement learning algorithm. Yesh Godse, an undergraduate in the lab, said in a statement: 'Deep reinforcement learning is a powerful method in AI that opens up skills like running, skipping and walking up and down stairs.' Cassie's total time of 53 minutes, three seconds, included about six and a half minutes of resets following two falls. Cassie first stumbled when its computer overheated and the other came after it took a turn at too high of a speed. The robot's makers foresee it eventually delivering packages, managing warehouse tasks and helping people in their homes.


Ostrich-inspired two legged robot Cassie crosses 5km running milestone

The Independent - Tech

Cassie, the ostrich-inspired bipedal robot has crossed a new milestone by traversing a distance of 5 kilometres in an outdoor environment in under an hour, untethered and on a single battery charge. According to its inventors, including robotics professor Jonathan Hurst from Oregon State University (OSU) in the US, Cassie is the first two-legged robot to use machine learning to control a running gait on outdoor terrain. One of the biggest challenges in designing bipedal robots, the researchers explained, is because running requires dynamic balancing – the ability to maintain balance while switching positions or otherwise being in motion. In the case of Cassie, whose knees bend like an ostrich's, they said the robot taught itself to run using a machine learning algorithm that helped it make infinite subtle adjustments to stay upright while moving. "The Dynamic Robotics Laboratory students in the OSU College of Engineering combined expertise from biomechanics and existing robot control approaches with new machine learning tools," Mr Hurst said in a statement.


Artificial intelligence wants you (and your job)

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My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents, and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.


How Do We Prepare for an AI Future?

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Bipedal robot developed at OSU makes history by learning to run, completing 5K - KTVZ

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CORVALLIS, Ore. (KTVZ) – Cassie the robot, invented at Oregon State University and produced by OSU spinout company Agility Robotics, has made history by traversing 5 kilometers, completing the route in just over 53 minutes. Cassie was developed under the direction of robotics professor Jonathan Hurst with a 16-month, $1 million grant from the Advanced Research Projects Agency of the U.S. Department of Defense. Since Cassie's introduction in 2017, OSU students funded by the National Science Foundation have been exploring machine learning options for the robot. Cassie, the first bipedal robot to use machine learning to control a running gait on outdoor terrain, completed the 5K on Oregon State's campus untethered and on a single battery charge. "The Dynamic Robotics Laboratory students in the OSU College of Engineering combined expertise from biomechanics and existing robot control approaches with new machine learning tools," said Hurst, who co-founded Agility in 2017.


AI vs Human Emotions

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The concept of emotional artificial intelligence refers to the detection of human emotions to improve AI. It makes robots analyze not only cognitive but also the emotional aspects of human communication. Emotional Artificial Intelligence goes by various names such as'Affective Computing,' 'Human Centric Artificial Intelligence,' 'Social Artificial Intelligence,' etc. It is relatively a new concept and its technology is in the development phase. Though it's not matured enough, it still can solve an immense number of problems.


Humans and AI: Should We Describe AI as Autonomous?

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Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this blog post, I will focus on the use of the word autonomous, the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. According to the dictionary, autonomous means "having the freedom to govern itself or control its own affairs." To have autonomy is to have the freedom to exercise self-determination, to rule oneself, to make decisions in accordance with one's own goals, without external interference.


The 12 Best AI Movies/TV Series of All Time

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Sense8 was an eight-hour Netflix Original series created by Lana and Andy Wachowski, and J. Michael Straczynski. The science fiction series starred eight characters worldwide, connected by a bond that can be felt through every sense. Sense8 follows the inhabitants of Chicago, who are all connected by more than just two or three senses; they are experiencing everything that their counterparts are seeing, sensing, hearing, and feeling. The series is a love story between two characters, and as they become more connected to their sense counterparts, they begin to feel their partners' pain. They also carry the responsibility of protecting their loved ones that are constantly in danger and fighting for freedom from some sort of outside threat.