In a new paper, researchers at DeepMind propose using the game Diplomacy as an environment for training reinforcement learning agents.
Category: entertainment
Just recycle the hydrogen and bring to another layer in the sun :3.
Remember the movie Sunshine, where astronomers learn that the Sun is dying? So a plucky team of astronauts take a nuclear bomb to the Sun, and try to jump-start it with a massive explosion. Yeah, there’s so much wrong in that movie that I don’t know where to start. So I just won’t.
Seriously, a nuclear bomb to cure a dying Sun?
“Just the nature of the AI that they’re building is one that crushes all humans at all games,” Musk told The New York Times in an interview published on Saturday. “I mean, it’s basically the plotline in ‘War Games.’”
DeepMind declined to comment when contacted by CNBC.
Musk has repeatedly warned that AI will soon become just as smart as humans and said that when it does we should all be scared because humanity’s very existence is at stake.
Here is my research dissertation M.Sc. in Neural Computation, CCCN Uni Stirling. A variety of net architectures were trialed for specific use in Enochian Chess software, and the commercial version is now in its 3rd edition over 26 years on. The first section consists of a literature review of artificial neural nets and their application to a variety of classic boardgames. Although quite old now, there haven’t been any or many other papers on nets and divination games. This paper has proved very prescient! Today neural nets are commonly used by game developers. The race amongst super computer developers to ‘predict’ stock markets, or weather systems, or winners of horse races, is fierce. MVT unconstrained hardware may offer some synergies when used in conjunction with nets or trad AI.
My interest in active divination (rather than passive divination) goes back a bit now. Enochian Chess software is one example, but Tsakli can also be used in divination. Passive forms of fortune-telling rely on pure chance without any skill or judgement asked of the questioner. Astrology is a good example. You cannot change or ameliorate your date and time of birth or effect the course of the stars. It is essentially fatalistic. What is the point trying to discern information about which you can do absolutely nothing? Brainstorming and the jumping up and down excitement generated by unexpected game episodes, plus the many ideas generated by the move by move conversation and thrown up by wide consideration of the particular divination question, can be of real psychomorphological value in helping plan your future life moves.
Since January, construction has been underway on a huge Gundam robot—a popular fictional robot that appears in some 50 TV series and movies since 1979, not to mention a slew of video games and manga. Coming in at about 60 feet tall, the Gundam will be impossible to miss from the Port of Yokohama, just south of Tokyo, where it will call home for a full year.
Although the COVID-19 pandemic has halted progress on various construction projects, worldwide, the Gundam perseveres. You can check out the progress for yourself in this YouTube video, uploaded by Michael Overstreet.
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What do you think?
Seems great, until that kid that’s flicking popcorn or spilling their drink is now doing so from 40 feet overhead. Still, a movie-going experience that makes me feel like I’m in the Galactic Senate Chamber is tempting, and it’d make food/drink service far less disruptive for everyone else. The verticality makes me think we’ll see a version of this in Hong Kong or Shanghai first.
Explicit self-reflection is unreliable for measuring thoughts. Here, the authors use brain data to implicitly pinpoint transitions between thoughts and find thought turnover to be reliably predicted by narrative events during movie-viewing, as well as by greater trait neuroticism at rest.
So, you’ve set aside a chunk of change to build a new gaming PC and are just waiting for AMD and Nvidia to launch their next-gen GPUs, is that it? A solid plan, except for one thing—your next build is already obsolete. That’s because whatever you spec’d out is undoubtedly sitting on an AMD or Intel foundation, and didn’t you hear, x86 computing is basically dead. Finished. Kaput. We’re on the cusp of the end of an era, and all because Apple is dumping Intel for ARM.
Okay, maybe not, but that’s essentially the case made by Jean-Louis Gassée, a former Apple executive who led the development of Mac computers in the late 1980s. In no uncertain terms, he says Apple’s decision to phase out Intel CPUs in favor of its own silicon based on ARM will force “PC OEMs to reconsider their allegiance to x86 silicon…and that will have serious consequences for the old Wintel partnership.”
Ancient Egyptians used hieroglyphs over four millennia ago to engrave and record their stories. Today, only a select group of people know how to read or interpret those inscriptions.
To read and decipher the ancient hieroglyphic writing, researchers and scholars have been using the Rosetta Stone, an irregularly shaped black granite stone.
In 2017, game developer Ubisoft launched an initiative to use AI and machine learning to understand the written language of the Pharoahs.
Queen’s University researchers uncover brain-based marker of new thoughts and discover we have more than 6,000 thoughts each day.
Researchers at Queen’s University have established a method that, for the first time, can detect indirectly when one thought ends and another begins. Dr. Jordan Poppenk (Psychology) and his master’s student, Julie Tseng, devised a way to isolate “thought worms,” consisting of consecutive moments when a person is focused on the same idea. This research was recently published in Nature Communications.
“What we call thought worms are adjacent points in a simplified representation of activity patterns in the brain. The brain occupies a different point in this ‘state space’ at every moment. When a person moves onto a new thought, they create a new thought worm that we can detect with our methods,” explains Dr. Poppenk, who is the Canada Research Chair in Cognitive Neuroscience. “We also noticed that thought worms emerge right as new events do when people are watching movies. Drilling into this helped us validate the idea that the appearance of a new thought worm corresponds to a thought transition.”