Artificial intelligence has beaten Q*bert, the iconic Atari video game

Image: aaron ontiveroz/ the Denver Post via Getty Images

Nothing is off-limits to artificial intelligence — even your favorite old video games. 

An artificial intelligence, developed by researchers from the University of Freiburg in Germany, has beaten the Q*bert arcade game by exploiting glitches in its design. 

In the game, players take the role of cartoon character Q*bert, who hops around a pyramid of 28 cubes. Every time Q*bert lands on a cube, it changes color. Players are tasked with changing every cube’s color without being captured by enemies that also roam around the pyramid. 

The AI found two sleazy ways to beat the game. First, it baited an enemy to follow it, then committed suicide by jumping off its pyramid. Though Q*bert lost a life, killing the opponent in the process left the player with enough points to reincarnate and repeat the cycle. 

Additionally, by jumping around the pyramid in a (seemingly) random fashion, the AI caused the pyramid’s tiles to begin to blink, and was granted more than one million points.  

The researchers believe that no human has ever uncovered these loopholes before, but this may not be entirely fair. The researchers tested their AI with an updated version of Q*bert — and the game’s developer claims the original version didn’t have such bugs. 

So it’s possible that humans could have found these loopholes as well. Nonetheless, the AI was able to find them after only five hours of training, which is probably less time than it would take most humans to beat the game. 

The researchers used sets of algorithms called “evolution strategies.” As the name implies, evolution strategies involve generating many algorithms and identifying those that perform the best through trial and error.  

In the paper, researchers suggest that evolution strategies can be considered “a potentially competitive approach to modern deep reinforcement learning algorithms.” Deep reinforcement learning algorithms mimic human neural networks and teach themselves effective strategy. A number of well known artificial agents fall into this category, including Alphabet Inc.’s DeepMind, which recently became one of the world’s most dominant Go players

It’s also possible that these algorithms could end up working together. “Since evolution strategies have different strengths and weaknesses than traditional deep reinforcement learning strategies, we also expect rich opportunities for combining the strength of both,” the researchers wrote. 

This study is a good sign for our robot overlords, which grow more dominant every day. In a recent study, AI outperformed lawyers in interpreting legal contracts. A Google-trained algorithm has trained itself to recognize patients at risk of heart disease — it doesn’t yet outperform existing medical approaches, but it’s on its way. 

It’s a serious, but exciting reminder to all humans. When it comes to skilled AI, nothing is out of reach — not even your childhood arcade games. 

Read more: https://mashable.com/2018/03/01/ai-beats-qbert/

New Google-powered AI scans eyes to detect heart disease, stroke risk

Image: ben brain/Digital Camera Magazine via getty images

The secret to identifying certain health conditions may be hidden in our eyes. 

Researchers from Google and its health-tech subsidiary Verily announced on Monday that they have successfully created algorithms to predict whether someone has high blood pressure or is at risk of a heart attack or stroke simply by scanning a person’s eyes, the Washington Post reports

Google’s researchers trained the algorithm with images of scanned retinas from more than 280,000 patients. By reviewing this massive database, Google’s algorithm trained itself to recognize the patterns that designated people as at-risk. 

This algorithm’s success is a sign of exciting developments in healthcare on the horizon. As Google fine-tunes the technology, it could one day help patients quickly and cheaply identify health risks. 

But don’t get too excited yet. The algorithm didn’t outperform existing medical approaches, such as blood tests according to the Washington Post report. The algorithms were able to pick out the patient at risk 70 percent of the time. That’s impressive, but it’s far from perfect. 

The procedure also hasn’t been replicated or validated to the point where it can be broadly accepted in the scientific community. 

And experts don’t think it will be necessary for Google’s technology to replace conventional, human-powered care in the near future. 

Maulik Majmudar, associate director of the Healthcare Transformation Lab at Massachusetts General Hospital, told the Post that age and gender are already good predictors of risk for such disease. While Google’s algorithm is an improvement, its improvement to current healthcare practices would be marginal at best. 

That said, it’s clear that artificial intelligence and machine learning have the potential to bring added convenience and affordability to the healthcare industry, even in areas as small as our eyes. 

Read more: https://mashable.com/2018/02/20/google-ai-detects-heart-disease-risk/