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Games have a long history of serving as a benchmark for progress in artificial intelligence. Recently, approaches using search and learning have shown strong performance across a set of perfect information games, and approaches using game-theoretic reasoning and learning have shown strong performance for specific imperfect information poker variants. We introduce, a general-purpose algorithm that unifies previous approaches, combining guided search, self-play… See more.


Games have a long history of serving as a benchmark for progress in.

Artificial intelligence. Recently, approaches using search and learning have.

Shown strong performance across a set of perfect information games, and.
approaches using game-theoretic reasoning and learning have shown strong.
performance for specific imperfect information poker variants. We introduce.
Player of Games, a general-purpose algorithm that unifies previous approaches.

Combining guided search, self-play learning, and game-theoretic reasoning.
Player of Games is the first algorithm to achieve strong empirical performance.

In large perfect and imperfect information games — an important step towards.

In recent years, computational tools based on reinforcement learning have achieved remarkable results in numerous tasks, including image classification and robotic object manipulation. Meanwhile, computer scientists have also been training reinforcement learning models to play specific human games and videogames.

To challenge research teams working on reinforcement learning techniques, the Neural Information Processing Systems (NeurIPS) annual conference introduced the MineRL competition, a contest in which different algorithms are tested on the same in Minecraft, the renowned computer game developed by Mojang Studios. More specifically, contestants are asked to create algorithms that will need to obtain a diamond from raw pixels in the Minecraft game.

The algorithms can only be trained for four days and on 8,000,000 samples created by the MineRL simulator, using a single GPU machine. In addition to the training dataset, participants are also provided with a large collection of human demonstrations (i.e., video frames in which the task is solved by human players).

“Alder Lake,” Intel’s family of 12th Generation processors, has arrived—and with it, a new CPU paradigm. Intel’s Core i9-12900K desktop CPU ($589) leads the pack of the company’s 12th Generation processors, and brings with it a whole host of upgrades and innovations to the desktops of now and tomorrow. These tick-ups include support for the new, high-speed DDR5 RAM standard, as well as an upgrade to PCI Express 5.0, on the first new motherboard platform to support the latest chips, the Intel Z690. Intel also worked closely with Microsoft to optimize the new CPUs for Windows 11, adding new scheduling features that intelligently load up the Core i9-12900K depending on which cores are being used where, and for what.

Alder Lake and the Core i9-12900K indeed impress, but our relationship with the CPU…is complicated. For all the outright wins we saw in our benchmarks (and there were many), the added cost of upgrading to yet another new motherboard platform won’t outweigh the win percentages for many shoppers. Intel’s older-yet-still-reliable “Comet Lake” Core i9-10900K kept itself in the race during several benchmarks, while the eight-core, rather cheaper AMD Ryzen 7 5800X ($449 list price, but currently snipe-discounted to $386 on Amazon and Newegg) proves itself a worthy contender on performance-versus-price in PC gaming.

The high cost of a new Z690 motherboard (the cheapest are just under $200, per our Z690 motherboard guide) and DDR5 adoption, along with Intel’s insistence on upgrading your system to Windows 11, are all front-facing considerations for anyone who’s considering 12th Generation Core as their next big desktop upgrade. That—and a not-insignificant problem in which our test platform, and several prebuilt Alder Lake PCs, could not launch certain popular games that use specific DRM—temper Alder Lake with a bit of wait-and-see caution. Our initial Alder Lake takeaway is “Intel’s on the upswing, with some caveats.” But read more about our findings below.

Future predictions in 2019 are notoriously hard to make. What will life be like in 2050? Technology does not progress in a steady state, it accelerates.
And usually the technology advances faster than we can imagine it, let alone predict it. But still many predictions that were made in the past have turned out to be true, even though they were unimaginable at the time that the prediction was made.

In 1,865, Jules Verne, the author who wrote 20,000 leagues under the sea, and journey to the center of the earth, predicted that we would send people to the moon, and it would precisely 3 people, from of all places, Florida. And he even described weightlessness in space. He had no way to know 150 year ago how gravity would behave in space.

In 1909, Nikola Tesla, the inventor of the AC electrical system, predicted widespread use of personal wireless devices. This was over 100 years ago!

In 1987, the late Roger Ebert, famous movie critic, predicted video on demand dominating the entertainment industry. You have to remember, this was 30 years ago, a time when video cassette tapes were just getting popular.

What do these predictions have in common – they were all ridiculed at the time as foolish speculation. But of course, we now know that they were pretty much spot-on.

Let’s take a look at what I consider the top 10 most incredible predictions, from some of the world’s most renowned thinkers.

In an effort to see what the brain does during flow, Huskey led research looking at how people experience flow while playing a video game. In a paper, which was published in the Journal of Communication this month, more than 140 participants played a video game. Some took part in an experiment while playing a game and self-reported their experiences. Others also subjected themselves to brain imaging so that researchers could look at how their brain functioned during flow.

Flow happens, Huskey said, when activities are engaging enough to fully involve someone to the point of barely being distracted, but not so difficult that the activity becomes frustrating.

Similarly, a video game designed for a child will probably not keep an adult in flow. There must be a balance, he explained. When there’s a balance, the person experiences an intrinsic reward. Things like getting to the next level or earning points matter, but they become secondary. Simply playing the game and experiencing flow is rewarding in and of itself.

Sports giant Nike has taken a leap into the metaverse.

The Beaverton, Oregon, company announced Thursday that it is partnering with Roblox to create a virtual world called Nikeland on Roblox’s online gaming platform.

The virtual world includes Nike buildings, fields and arenas for players to compete in various mini-games, ranging from tag and dodgeball to “The Floor Is Lava.” It’s modeled after the company’s real-life headquarters. Nikeland will be free (for now).

Move over, Hollywood—science fiction is getting ready to leap off the big screen and enter the real world. While recent science fiction movies have demonstrated the power of artificially intelligent computer programs, such as the fictional character J.A.R.V.I.S. in the Avenger film series, to make independent decisions to carry out a set of actions, these imagined movie scenarios could now be closer to becoming a reality.

In a recent study published in Nature Communications, a journal of Nature, researchers at the University of Missouri and University of Chicago have developed an , called a metamaterial, which can respond to its environment, independently make a decision, and perform an action not directed by a human being. For example, a drone making a delivery might evaluate its environment including , speed or wildlife, and automatically change course in order to complete the delivery safely.

Guoliang Huang, Huber and Helen Croft Chair in Engineering, and co-author on the study, said the mechanical design of their new artificial material incorporates three main functions also displayed by materials found in nature—sensing; information processing; and actuation, or movement.

As part of its recently announced rebranding, Facebook is doubling down on its vision of the metaverse, an immersive virtual-reality environment for gaming, work meetings, and socializing. In promotional materials, Mark Zuckerberg and his friends enter the metaverse via the company’s own Oculus headsets, and are transformed into cartoon-y animated torsos, often while arranged around a virtual boardroom.

According to Zuckerberg, the metaverse promises an at-work reality better than our own, with lush backdrops and infinite personal customization (as long as that customization stops at the waist for humanoid characters). Borrowing elements from world-building games and environments like Second Life and Fortnite, and inspiration from science-fiction referents like Ready Player One and the Matrix, the insinuation is that working within the metaverse will be fun. (This despite the irony that all of these virtual worlds are positioned as dystopias by their creators.)

Full Story:

Artificial Intelligence is starting to surpass humans even in creative works now. A robot has written and directed the first feature movie that was actually released for the public to see. In fact, it’s a lot better than many movies that real humans have made so far. While still surreal and a bit funny in some parts of the AI generated script, it’s still one of the most impressive videos and movies made by AI Bots so far.

Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. Maybe OpenAI GPT-4 or GPT4 will be even better in 2021.

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TIMESTAMPS:
00:00 A real AI Generated Movie.
02:00 How the movie was made.
03:04 How the Artificial Intelligence was made.
04:18 How it was perceived.
06:12 Last Words.

#ai #robot #movie