Human beings right now:
Microsoft’s AI has achieved what was apparently impossible for humans, an ideal score on the classic arcade game Ms. Pac-Man, joining Google’s AlphaGo AI who recently beat the world’s best Go player.
It all starts with Maluuba, a deep learning startup that Microsoft acquired earlier this year. Using the company’s reinforcement learning algorithms, it was able to teach its AI how to thoroughly master the Atari 2600 version of Ms. Pac-Man (Which was a much harder game than the original Pac-Man). I am not talking about “just” getting a few hundred thousand points, instead, Maluuba’s AI was able to achieve the highest score possible in the game: 999,990.
HOW DOES THIS AFFECT ME?
I am sure some of you are probably having this thought:
Even though beating a game like Ms. Pac-Man might seem silly to a lot of you, the actual real-world implications are quite broader in scope:
Rahul Mehrotra, a program manager at Maluuba, said the method they developed to beat Ms. Pac-Man could be used to help a company’s sales organization make precise predictions about which potential customers to target at a particular time or on a particular day. The system could use multiple agents, each representing one client, with a top agent weighing factors such as which clients are up for contract renewal, which contracts are worth the most to the company and whether the potential customer is typically in the office that day or available at that time.