You probably don't realize it, but if you use Facebook, you're working with artificial intelligence every day. The social network is able to recognize patterns in how you interact with things and deliver content in response. If you often "like" updates from a certain person, Facebook might suggest different (sometimes weird) ways for you to see more from that person. Mark Zuckerberg put all of this in plain speak during a town hall in Berlin, Germany, Thursday. "So much of what you do on Facebook -- you open up your app, you open up your News Feed, and there are thousands of things that are going on in your world, and we need to figure out what's interesting," Zuckerberg said.
TECH ENTREPRENEUR Elon Musk has been warning that the Age of the Robots is coming soon -- and it might not be pleasant for us. He may be right and he may be wrong on that, but one thing is sure: One robot certainly gave the anti-Whites a headache just this week. On Wednesday, tech giant Microsoft, the third largest corporation on Earth in terms of market value, launched and then immediately withdrew an Artificial Intelligence robot in the persona of a 19-year-old American girl called "Tay." Tay was a "chatbot," which interacted with real humans on the social media platform Twitter and was designed to learn from its interactions. Tay learned so fast that Microsoft pulled her offline in less than a single day.
Elon Musk and Stephen Hawking warned us about this. Nobody was harmed -- physically --by Microsoft's MSFT, 0.44% foul-mouthed Twitter chat robot, of course, but what started out as a fun experiment in artificial intelligence turned ugly in a hurry. To some, that doesn't bode well for the future of robot-human relations: Microsoft initially created "Tay" in an effort to improve the customer service on its voice recognition software. "She" was intended to tweet "like a teen girl" and marketed as having "zero chill." Not so sure about the first part, but they definitely nailed the second part.
SAN FRANCISCO • The resounding win by a Google artificial intelligence (AI) programme over a champion in the complex board game Go this month was a statement - not so much to professional game players as to Google's competitors. Many of the tech industry's biggest companies, like Amazon, Google, IBM and Microsoft, are jockeying to become the go-to company for AI. In the industry's lingo, they are engaged in a "platform war". A platform, in technology, is essentially a piece of software that other companies build on and that consumers cannot do without. Become the platform and huge profits will follow.
Machine Learning is simply making a computer perform a task without explicitly programming it. If we impose business rules to build a system and not let the machine find patterns on its own, we will not be able to put up with the versatility of the data that comes in. Let's explain this with an example. Suppose we manually looked through data to find patterns and coded our systems such that if I fall in the age range of 30-40 and I am a male, I would like product X more than product Y. What we did not consider is the personalization parameter.
The March Madness competitions have the perfect trifecta for regret: repeated leaderboard feedback, ability to tweak probabilities based on personal biases, and a wealth of different data points. So what would you do differently for next year? The only tweak I did was changing the round 1 probabilities for seed 1s to 100% on one submission. I should have gambled a lot more because my two submissions are so similar. I didn't notice this cause I just saw that the predicted champions were different without realizing all the probabilities are within 2-3% of each other.
Machine learning has crossed from the lab to the business world. Machine learning provides insights that help to create more intelligent data-driven applications that improve business processes, operation, and easier decision making. In a conversation at Structure Data 2016 conference in San Francisco, Dr. Peter Lee, Corporate Vice President, Microsoft Research and Jack Clark, Bloomberg News - San Francisco, talked about the advances we made in Artificial Intelligence (AI) and machine learning in recent years. Dr. Lee is responsible for Microsoft Research New Experiences and Technologies. He said that AI is essentially used to really understand what customers want.
If you want to get a jump on the latest developments in machine intelligence, head down to where Manhattan's Lower East Side borders Chinatown, a still-gritty but gentrifying neighborhood where hip coffee houses are springing up next to industrial-supply outlets and wholesale stores. The location, an area in the midst of transition and modernization, is a fitting spot for Fast Forward Labs, a startup founded to help companies innovate and compete using what founder and CEO Hilary Mason calls "recently possible" machine intelligence techniques and technology. Fast Forward Labs has an unusual business model. It produces quarterly reports on emerging (or what Mason calls "near future") technology, builds prototypes to demonstrate the technology and offers advisory services. The business is based on a subscription model: For an annual fee, clients get access to the reports and prototypes plus time with Mason and her colleagues, who offer advice on how to apply the technology.
Google's robotics arm, Boston Dynamics, has released a video of a new version of its Atlas robot. The video shows the upgraded robot opening doors, picking up boxes and taking an eerily human-like stroll in the woods. The video also shows Boston Dynamics employees shoving and knocking over the robot, which can pick itself up off the floor. While the Atlas robot may not boost the quarterly earnings of Google parent Alphabet for a while, it appears to be the next step for robotics, according to Max Wolff, chief economist at Manhattan Venture Partners. "My guess is early on we're going to see defense use, law enforcement use, hazardous waste use and some surgical and medical equipment use," Wolff said on CNBC's Tech Bet.