I watch as he toys with the small group of lifeforms named Agents that curiously ramble around a tiny planet. They're odd three-legged things that go from goldfishing their way from one side of their tennis ball-sized existence to another to staring at me in bemusement to accidentally – and then angrily – bumping into each other. When the call ends, Gagliano – perhaps unknowingly – leaves the stream going for another 10 or so minutes. I sit, slightly transfixed, continuing to observe the Agents that go on existing in the absence of their newfound virtual deity. Agence is a hard thing to pin down. Gagliano, the piece's director, and Oppenheim, the creative producer, label it as a'looping' and'dynamic film', something that starts right back up again the moment it ends.
When Kobe Bryant was announced as the third NBA 2K cover athlete earlier this year following his tragic death, NBA fans around the world were elated about the possibilities. I was excited because I figured that a list of challenges would be included, similar to what Michael Jordan received when he graced the cover of "NBA 2K11." Instead, the Mamba Edition gives users a few meaningless in-game tokens like 100,000 virtual coins, 10,000 MyTeam points, MyTeam packs and access to a few Bryant jerseys and shoes for your MyPlayer to sport. As noted earlier, the Mamba Edition does grant an upgrade to the next console generation, so you don't have to buy another copy for PS5 or Series X … but you do have to shell out $40 more dollars when some game franchises are allowing free next-gen upgrades.
The "Curly" curling robots are capturing hearts around the world. A product of Korea University in Seoul and the Berlin Institute of Technology, the deep reinforcement learning powered bots slide stones along ice in a winter sport that dates to the 16th century. As much as their human-expert-bettering accuracy or technology impresses, a big part of the Curly appeal is how we see the little machines in the physical space: the determined manner in which the thrower advances in the arena, smartly raising its head-like cameras to survey the shiny white curling sheet, gently cradling and rotating a rock to begin delivery, releasing deftly at the hog line as a skip watches from the backline, with our hopes. Artificial intelligence (AI) today delivers everything from soup recipes to stock predictions, but most tech works out-of-sight. More visible are the physical robots of various shapes, sizes and functions that embody the latest AI technologies. These robots have generally been helpful, and now they are also becoming a more entertaining and enjoyable part of our lives.
A good example of solving for the right problems can be seen in Formula One World Championship Ltd. The motorsport company was looking for new ways to deliver race metrics that could change the way fans and teams experience racing, but had more than 65 years of historical race data to sift through. After aligning their technical and domain experts to determine what type of untapped data had the most potential to deliver value for its teams and fans, Formula 1 data scientists then used Amazon SageMaker to train deep learning models on this historical data to extract critical performance statistics, make race predictions and relay engaging insights to their fans into the split-second decisions and strategies adopted by teams and drivers.
A robot equipped with artificial intelligence (AI) can excel at the Olympic sport of curling -- and even beat top-level human teams. Success requires precision and strategy, but the game is less complex than other real-world applications of robotics. That makes curling a useful test case for AI technologies, which often perform well in simulations but falter in real-world scenarios with changing conditions. Using a method called adaptive deep reinforcement learning, Seong-Whan Lee and his colleagues at Korea University in Seoul created an algorithm that learns through trial and error to adjust a robot's throws to account for changing conditions, such as the ice surface and the positions of stones. The team's robot, nicknamed Curly, needed a few test throws to calibrate itself to the curling rink where it was to compete.
The overarching situation would have figured to make an in-person event for players a near-impossibility. Riot Games, which publishes League of Legends and runs its competitive league, has dealt with its share of challenges over the past nine championship events, but this year will be a totally new frontier, as it has been for other major sports leagues and tournaments such as the NBA, NHL and MLB. China, like many countries, currently has a hodgepodge of pandemic-related travel policies in place as it gradually eases entry restrictions for some foreign nationals. U.S. citizens are still prevented from applying for tourist visas.
So now that we've covered the basics of machine learning with regression models, let's move onto something a little more sophisticated: Decision Trees. What is a decision tree you ask? A decision tree is a set of questions you can ask to classify different data points. It's called a tree because it's in a tree like shape, just inverted. If you've got the weather forecast for the day, it'd be pretty easy to look at it and determine if you'd want to go play tennis that day.
Artificial Intelligence (AI) and Machine Learning (ML) are among the most sought after tech skills by companies around the world. There is also a surge in no-code AI platforms. As more and more businesses are looking to leverage the power of AI, companies are accelerating the adoption of these technologies. Building solutions with these technologies require a sound experience and expertise in programming languages, however, there are some no-code visual drag-and-drop tools available to build ML solutions. Now it is an independent macOS application that comes with a bunch of pre-trained model templates.
A curling robot has beaten humans at their own game. Klaus-Robert Müller at the Berlin Institute of Technology in Germany and his colleagues have developed a robot powered by artificial intelligence, called Curly, that beat teams of expert human athletes in curling matches. Curling is a sport in which players slide heavy stones down an icy path towards a circular target. Players compete in two teams of four, with most players taking turns turn to "throw" a stone or to …
I've spent enough time in robotics labs to confidently say that machines are far, far from replacing humans en masse in the workforce. They're still too clumsy and stupid to work on their own, so they're more likely to automate parts of your job. But I'll be honest, I did not see this one coming: A robot named Curly just mastered the sport of curling, beating two Korean national teams. Building a robot to fire stones down a length of ice might sound eccentric, I'll grant that, but rather than simply paving the way to the All Robot Winter Olympics of 2026, Curly is actually a big achievement in machine intelligence, one that could have implications for robotics beyond the rink. Curling requires a mix of the physicality of bowling and the strategy of chess.