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Great, now robots are beating us in physical poker games (even when we cheat)

(TECH NEWS) Know when to hold ‘em, know when to fold ‘em, know when to turn to artificial intelligence slash robots instead.

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Poker (robot) face

Know when to hold ‘em, know when to fold ‘em, know when to turn to artificial intelligence instead. This week concluded a 20-day long poker tournament that was actually an experiment testing out Carnegie Mellon’s AI bot, Libratus.

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Libratus beat out four world class poker pros during a lengthy Heads-up No-Limit Texas Hold’em held in Pittsburgh at the Rivers Casino. On Monday, the last hand of the 120,000 hand game was played, with Libratus leading the pros by over $1.75 million in chips.

Soaking up information

The “Brains Vs. Artificial Intelligence” tournament marks a new milestone for artificial intelligence. Libratus was developed by Professor Tuomas Sandholm and Ph.D. student Noam Brown, both from the university’s computer science department. Sandholm said on CMU’s news site that “the best AI’s ability to do strategic reasoning with imperfect information has now surpassed that of the best humans.”

Four of the best Heads-up No-Limit Texas Hold’em players from around the world were gathered for the experiment.

Together, the humans strategized against the bot, but to no avail.

The bot actually learned from the human players, algorithmically patching up any holes in its own strategy each night.Click To Tweet

Why is Libratus special?

Sandholm notes this is different from previous algorithms since typically researchers develop programs to exploit opponent’s weaknesses. Libratus instead focused on fixing its own strategy, which was computed live for each hand.

This is remarkable because the bot was working with misleading and incomplete information.

The AI’s complex, real-time decisions were powered by Bridges, Pittsburgh Supercomputing Center’s computer. Bridges system surpasses a typical high-end laptop thousands of times in speed and memory.

Implications beyond gambling

Libratus’ victory in this imperfect information game has exciting implications beyond just dominating at poker. Nick Nystrom, PSC’s senior director, said “Bridges is powering new discoveries in the physical sciences, biology, social science, business and even the humanities.”

These discoveries could open up new realms for business negotiations, military strategy, cybersecurity, and medical treatment planning.

Implementing an automated decision-making AI system could potentially provide widespread benefits to public and private entities.

Going forward

Sandholm plans on continuing his research, applying imperfect-information games to real-world problems.

It is unclear whether or not Libratus had a pair of virtual sunglasses aiding its statistically significant defeat of the human pros.

Keep an eye out for Sandholm’s talk at the Association for the Advancement for Artificial Intelligence meeting this week where he’ll be sharing Libratus’ secrets.

And to all you virtual gamblers, don’t worry—the supercomputing powers needed to run Libratus means online poker rooms won’t be flodoed with robots any time soon.

#Libratus

Lindsay is an editor for The American Genius with a Communication Studies degree and English minor from Southwestern University. Lindsay is interested in social interactions across and through various media, particularly television, and will gladly hyper-analyze cartoons and comics with anyone, cats included.

Tech News

Tinder creators launch Ripple, a professional networking app void of pros

(TECH NEWS) Ex-Tinder employees have come together, backed by Match.com, to create a swipe-based professional network, but we don’t plan on giving it a second date.

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In 2015, we discussed briefly the possibilities of taking the dating app’s and repurposing them for professional networking. What if finding professional connections was as easy as finding a date on Tinder? Tinder (executives) literally heard us because they have introduced a solution in their new mobile app called Ripple.

Not to be confused with Ripple the cryptocurrency, Ripple the app is a professional networking tool that literally feels like Tinder.

As it should, the former CTO, Director of Engineering, and Lead Designer of Tinder all make up the founders, along with Mike Presz from Match.com. People who make good dating platforms came together for a professional networking solution that they hope makes networking easier, more natural, and more modern. I took the liberty of signing up for a few days and experimented with the app and I have a few things to say about it…

The good?

Design. Design. Design. The app has a luxuriously simple UI, and is fabulously easy to use. If you even tried Tinder for six minutes, you’ll be able to use this app. The use of symbols, big images, and easy UI is great. The application navigates simply.

It’s fantastic. It’s minimal, it’s content oriented, the interest categories are so good (but they could be better – no interest in process improvements? Go learn about Six Sigma) LinkedIn should look it. The profile set up takes no time at all, about five minutes and you’re ready to go.

But that’s about it.

Everything that’s not good? Everything else.

This is probably because the app is new, but there is nothing going on for the US market. I saw a lot of European professionals and professional groups, but zero people in my area, a major US metropolitan area also called Dallas-Fort Worth. The lack of content and the lack of professionals means the app has nothing.

I can’t rate group experience or say I met the mentor of my professional dreams because no one is on it. Which leads me to ask: What’s next?

The branding, marketing, and advertising for this app are going to have to take off. This is a beautiful product, but the lack of content makes it a pretty dull use. I had to actively remind myself to use it, and I’m in a serial relationship with LinkedIn.

Basically, no second date for me with Ripple until they get… something to happen.

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The cutest part of CES was Sony’s AI robot doggo, Aibo

(TECH NEWS) The Consumer Electronics Show revealed the technologies that are dominating and will dominate the market, with Sony’s AI puppers stealing the show.

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One of the most endearing items to emerge from CES this year was Sony’s revamped robot dog, Aibo.

Aibo’s first unveiling in 1999 featured a blend of emergent Sony technology, such as their Memory Stick and companion operating system. By the time of its demise in 2006, the Aibo was equipped with a large vocabulary (it could speak 1,000 words) and could interact with an owner’s commands and motion. The computerized canine wasn’t limited to just the realm of their traditional counterparts, however – the 2006 model of the Aibo could take pictures from the eye-embedded camera system, play music, and write blogs.

Equipped with more personality and a better interactive capability with its environment, the 2018 Aibo looks more like a real dog as well.

Composed of 4,000 parts and OLED-screen eyes to more authentically mimic movements, Sony says it relies on sensor systems and embedded cameras akin to those in self-driving cars to provide as close to an authentic experience as they can. The cameras, located in nose and tail, allow the robot to learn its way around the house and to deliver it back to its charging station once the two-hour charge runs out.

Reviewers at CES noted that the updated version of the Aibo was very “puppy-likem” barking and scampering with unlimited energy.

The current model is also touch responsive on its head, back and under its chin, allowing the user to give “puppy love” in a way that mimics that of what real dogs like.

Perhaps proving that Aibo is capable of acting more and more like a real dog, the robot canine was unresponsive to commands from Sony CEO Kazuo Hirai on stage at its unveiling, prompting Hirai to return Aibo to Sony staff quickly.

Slated to go on sale in Japan later this year, the dog isn’t cheap, priced at nearly $1,800, but does find itself selling into a dedicated Aibo fanbase from its earlier issue and a consumer market which is hungrier and more accepting for interactive experiences of this type of poo-free pet ownership.

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Tech News

Lyft offers test rides in their autonomous cars – how’d it go?

(TECH NEWS) Lyft let passengers roll around Vegas in their self-driving cars, and surprisingly, no shocking viral videos resulted.

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If you haven’t been paying attention to the progress of self-driving cars, you’re in for a shock – they’re closer to a daily reality than you might think. As part of this year’s CES conference, Lyft offered test rides in a handful of their autonomous cars, and the results were reportedly decent.

Unlike other companies’ public tests in the past, Lyft’s demonstrations consisted of normal passengers taking normal routes in Las Vegas; there was little in the way of preemptive route control, meaning that the tests were as authentic as possible. Passengers were able to board autonomous Lyfts from the Las Vegas convention center, with some testers traveling well over three miles with minimal operator interference.

The cars themselves are designed by Aptiv, which is a technology company heretofore unaffiliated with Lyft.

While both companies are aware of the potential for flaws and the need to iron them out before production begins en masse, test riders reported that the cars were able to anticipate and respond to a myriad of traffic conditions (for example, slowing down to allow a faster vehicle to merge); this bodes well for the 2020 goal that many autonomous car companies have set.

Naturally, there were a few kinks in the cars’ respective operations, including yellow light confusion and some other finessing issues, wherein the cars’ human operators had to intervene.

The technology behind self-driving cars is only part of the equation, however. As autonomous vehicles become more commonplace, cities will have to adapt to accommodate them.

This process will most likely include things like redefining road architecture, legislation regarding car use (at the moment, autonomous cars must always have a driver in them), and implementation of smart technology.

There’s also the matter of public perception. While most of the reports from the Lyft demo in Las Vegas were positive, the fact remains that plenty of people will be skeptical of new technology – as well they should be, since any emerging technology is bound to make a few bad headlines before it evens out.

How Lyft counters this perception will be key in determining the future of its autonomous fleet, and perhaps even the future of autonomous cars as a whole.

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