Chinese film authorities issued a new document outlining policy measures to boost the country’s production of science fiction movies.
Entitled “Several Opinions on Promoting the Development of Science Fiction Films,” the document highlights how the sci-fi genre fits into the ruling Communist Party’s broader ideological and technological goals. It was released earlier this month by China’s National Film Administration and the China Association for Science and Technology, a professional organization.
The document focuses on domestically developing pro-China science fiction film content and high-tech production capability. It comes in the wake of the country’s first VFX-heavy sci-fi blockbuster hit, “The Wandering Earth,” which remains the third highest grossing film of all time in the territory with a local box office of $691 million.
A team of researchers at Stanford University has created an artificial intelligence-based player called the Vid2Player that is capable of generating startlingly realistic tennis matches—featuring real professional players. They have written a paper describing their work and have uploaded it to the arXiv preprint server. They have also uploaded a YouTube video demonstrating their player.
Video game companies have put a lot of time and effort into making their games look realistic, but thus far, have found it tough going when depicting human beings. In this new effort, the researchers have taken a different approach to the task—instead of trying to create human-looking characters from scratch, they use sprites, which are characters based on video of real people. The sprites are then pushed into action by a computer using artificial intelligence to mimic the ways a human being moves while playing tennis. The researchers trained their AI system using video of real tennis professionals performing; the footage also provided imagery for the creation of sprites. The result is an interactive player that depicts real professional tennis players such as Roger Federer, Serena Williams, Novak Jovovich and Rafael Nadal in action. Perhaps most importantly, the simulated gameplay is virtually indistinguishable from a televised tennis match.
The Vid2Player is capable of replaying actual matches, but because it is interactive, a user can change the course of the match as it unfolds. Users can change how a player reacts when a ball comes over the net, for example, or how a player plays in general. They can decide which part of the opposite side of the court to aim for, or whether to hit backhand or forehand. They can also slightly alter the course of a real match by allowing a shot that in reality was out of bounds to land magically inside the line. The system also allows for players from different eras to compete. The AI software adjusts for lighting and clothing (if video is used from multiple matches). Because AI software is used to teach the sprites how to play, the actions of the sprites actually mimic the most likely actions of the real player.
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Aside from tracking asteroids that could endanger the planet, the telescope played a major role in the “SETI” program — the search for intelligent life. It was notably used by astronomer Carl Sagan to send an interstellar message.
Earlier this week, the facility was forced to close down after a cable supporting a metal platform above the telescope fell, tearing a 100-foot gash in its giant reflector dish.
“The cable didn’t really break in the sense of a cable kind of snapping, but it just sort of slipped from its socket, which is you know, an even weirder condition,” Arecibo Observatory Director Francisco Cordova told CBS News’ Jeff Glor.
Just like a nostalgic grandparent flipping through old photo albums, our brains constantly replay memories from past events in our lives as we sleep.
It may seem overly sentimental at first, but our minds aren’t just looking to reminisce and remember the good times. All of that brain activity while dreaming serves to strengthen and preserve existing memories, all while simultaneously finding some room for any new memories we may have made over the previous day.
Those are the main findings from a fascinating new study just released by the University of California, San Diego that investigated neural activity during sleep. The research team at UCSD says that no memory is set in stone within our minds; any memory can be lost, and sleep is when our minds rejuvenate old memories via replay and refine/make room for new memories.
In research published in Science Advances, a group led by scientists from the RIKEN Center for Emergent Matter Science (CEMS) have used the principle of magneto-rotation coupling to suppress the transmission of sound waves on the surface of a film in one direction while allowing them to travel in the other. This could lead to the development of acoustic rectifiers—devices that allow waves to propagate preferentially in one direction, with potential applications in communications technology.
Devices known as rectifiers are extremely important in technology development. The best known are electronic diodes, which are used to convert AC into DC electricity, essentially making electrification possible.
In the current study, the group examined the movement of acoustic surface waves—movements of sound like the propagation of earthquakes over the surface of the Earth—in a magnetic film. There is interplay between the surface acoustic waves and spin waves, disturbances in magnetic fields within the material that can move through the material.
In some versions of the game blackjack, one way to win against the house is for players at the table to work as a team to keep track of and covertly communicate amongst each other the cards they have been dealt. With that knowledge, they can then estimate the cards still in the deck, and those most likely to be dealt out next, all to help each player decide how to place their bets, and as a team, gain an advantage over the dealer.
This calculating strategy, known as card-counting, was made famous by the MIT Blackjack Team, a group of students from MIT, Harvard University, and Caltech, who for several decades starting in 1979, optimized card-counting and other techniques to successfully beat casinos at blackjack around the world — a story that later inspired the book “Bringing Down the House.”
A quantum-mechanical version of the ancient board game go has been demonstrated experimentally by physicists in China. Using entangled photons, the researchers placed go pieces (called stones) in quantum superpositions to vastly increase the complexity of the game. They foresee the technology serving as the ultimate test for machine players that use ever more sophisticated artificial intelligence (AI).
Time travel movies have different rules about what happens when you start messing around with the timeline. If you’ve ever wondered which ones make the most sense, we may now have an answer. According to experiments using a quantum time travel simulator, reality is more or less “self-healing,” so changes made to the past won’t drastically alter the future you came from – at least, in the quantum realm.
The classic Back to the Future rules of time travel say that whatever you change in the past can have huge effects on the future. That’s why Marty McFly can almost erase his own existence by accidentally stopping his parents from meeting, and why Biff Tannen can get rich by giving his younger self a book of sports scores to bet on.
Other movies handle things differently. In Avengers: Endgame, the superheroes travel back in time to steal versions of the Infinity Stones out of different time periods to revive their fallen friends (look, it doesn’t make much sense unless you’ve seen all 20-something movies). Anyway, they can dabble in the past without ruining the future because the universe has a knack for correcting those paradoxes so that both versions of events did happen.
It is a human dream to realize a robot with automatic mechanical functions similar to the robots presented in several science-fiction movies and series such as “Ex Machina”, “Black Mirror”, “The Terminator”, etc.
More specifically, the idea of a liquid-metal-based robot able to transform its structure from solid to liquid, slip through narrow channels, and self-repair from any physical damage has always fascinated the scientific community engaged in cutting-edge technological discoveries. Beside the science-fiction background, micromachines able to gain energy from chemical reactions are attracting lots of attention as they emerged as ideal candidates for microrobots used in the field of microfabrication, detection/sensing, and personalized drug delivery.
