Today we’re going to shine some light on Lumen, the fully dynamic global illumination and reflections system featured in Unreal Engine 5.
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The two-story restaurant will be accompanied by two 45-foot LED movie screens and 28 superchargers.
Water scarcity is a major problem for much of the world’s population, but with the right equipment drinking water can be wrung out of thin air. Researchers at the University of Texas at Austin have now demonstrated a low-cost gel film that can pull many liters of water per day out of even very dry air.
The gel is made up of two main ingredients that are cheap and common – cellulose, which comes from the cell walls of plants, and konjac gum, a widely used food additive. Those two components work together to make a gel film that can absorb water from the air and then release it on demand, without requiring much energy.
First, the porous structure of the gum attracts water to condense out of the air around it. The cellulose meanwhile is designed to respond to a gentle heat by turning hydrophobic, releasing the captured water.
It doesn’t have to be all fun and games in the Metaverse, especially when its best use cases are the ones that need a different reality the most. Thanks to a few companies that have large marketing machines, the word “Metaverse” has become muddled in hype and controversy. While the current use of the coined word might be new to our ears, the technologies that empower it have been around for quite some time now. And they aren’t always used for games or entertainment, even if that is what everyone thinks these days. In fact, one of the most frequent early adopters of these technologies come from the medical field, which continuously tests new equipment, theories, and digital experiences to help improve lives. So while mainstream media, carmakers, and social networks continue to shine the light on new ways to experience different worlds, the Metaverse, its concepts, and its applications are already sneaking their way into medical and scientific institutions, ready to take healthcare to the next, augmented reality level.
Human-level artificial intelligence is close to finally being achieved, according to a lead researcher at Google’s DeepMind AI division.
Dr Nando de Freitas said “the game is over” in the decades-long quest to realise artificial general intelligence (AGI) after DeepMind unveiled an AI system capable of completing a wide range of complex tasks, from stacking blocks to writing poetry.
Described as a “generalist agent”, DeepMind’s new Gato AI needs to just be scaled up in order to create an AI capable of rivalling human intelligence, Dr de Freitas said.
Robin Murphy, a roboticist at Texas A&M University has published a Focus piece in the journal Science Robotics outlining her views on the robots portrayed in “Star Wars,” most particularly those featured in “The Mandalorian” and “The Book of Boba Fett.” In her article, she says she believes that the portrayals of robots in both movies are quite creative, but suggests they are not wild enough to compete with robots that are made and used in the real world today.
Murphy begins by noting that one robot in particular, IG-11 in the Mandalorian, makes for good viewing with a rotating head that allows for shooting at targets in any direction, but she also notes that such a robot would very likely be overly susceptible to joint failure and would be saddled with huge computational demands. She suggests a more practical design would involve the use of fixed-array sensors.
Murphy also notes that robots in “Star Wars” movies do fail on occasion, generally during suspenseful scenes, which she further notes might explain why the empire met with its demise. As just one example, she wonders why the stormtroopers so often miss their targets. She also notes that in some ways, droids in “Star Wars” movies tend to be far more advanced than droids in the real world, allowing them to hold human-like jobs such as bartending, teaching or translating. In so doing, she points out, producers of the movies have shied away from showing them doing more mundane work, like mining.
A virtual robot arm has learned to solve a wide range of different puzzles —stacking blocks, setting the table, arranging chess pieces—without having to be retrained for each task. It did this by playing against a second robot arm that was trained to give it harder and harder challenges.
Self play: Developed by researchers at OpenAI, the identical robot arms—Alice and Bob—learn by playing a game against each other in a simulation, without human input. The robots use reinforcement learning, a technique in which AIs are trained by trial and error what actions to take in different situations to achieve certain goals. The game involves moving objects around on a virtual tabletop. By arranging objects in specific ways, Alice tries to set puzzles that are hard for Bob to solve. Bob tries to solve Alice’s puzzles. As they learn, Alice sets more complex puzzles and Bob gets better at solving them.
AI take over of entertainment industry by about 2030. Already starting, and already messy.
Will the robots replace us all one day? Who knows, but chances are they will eventually learn how to create a superhero movie. Ergo, the start of one of the great legal debates in Hollywood history.
For World Quantum Day, the Google Quantum AI team is introducing people to the world of quantum computing by teaming up with Doublespeak Games to make The Qubit Game, a journey into quantum computing.
