As humans, we have a gift. And that gives us an edge over machines. The future war against the machines will most likely be decided on who can lie better. But before that, machines need to learn how to lie first. When DeepMind's AlphaGo AI beat Lee Seedol, it was reacting to Seedol's move on a board that is visible to both the human and AI.

Thank goodness for live chat. If you're anything like me, you look back at the days of corded phones and 1-800 numbers with anything but fondness. But as you're chatting with a customer service agent on Facebook Messenger to see if you can change the shipping address on your recent order, sometimes it's tempting to ask, am I really talking to a human? Or is this kind, speedy agent really just a robot in disguise? Believe it or not, this question is older than you might think.

Three has made its Wi-Fi calling service significantly easier to use, which should help customers cut their monthly mobile bills. Previously, users could only take advantage of the feature through Three's additional inTouch app, which delivered a less-than-pleasant user experience. However, customers can now make calls and send texts over a Wi-Fi connection without the app. It's a handy service, allowing users to both save money and stay in touch with friends and family whenever a Wi-Fi network is available, even when signal is poor or non-existent. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

An AI just claimed another gaming victory over humans by winning a 20-day poker tournament. The AI, called Libratus, took on four of the world's best Heads-Up No-Limit Texas Hold'Em poker players at a Pennsylvania casino. After 120,000 hands, Libratus won with a lead of over $1.7 million in chips. "I'm feeling great," says Tuomas Sandholm, a computer scientist at Carnegie Mellon University who was part of the team that created the AI. "This is a David versus Goliath story, and Libratus was able to throw a pebble."

I write a lot about data-driven algorithms, in particular those informed by Machine Learning. I thought it would be nice to give the low-down on machine learning for the uninitiated. Below, I discuss four essential questions. The answers are based, in part, from a recent discussion with Pedro Domingos, author of The Master Algorithm. Machine learning and AI touch your life every minute of every day, from applications you use at work to how you choose products to buy (Amazon recommendations).

Update: Last time AI took on humans at poker, the flesh-and-blood brigade won comfortably. Libratus has won $1,766,250 worth of chips at no-limit Texas Hold'em, knocking the stuffing out of its four human opponents in the process. "Yeah, this was a beat-down," was all human opponent Jimmy Chou could say after finishing his 30,000th hand on Monday. Libratus' co-creator, PhD student Noam Brown, was delighted with the AI's performance, telling The Guardian, "When I see the bot bluff the humans, I'm like, 'I didn't tell it to do that. I had no idea it was even capable of doing that.' It's satisfying to know I created something that can do that."

The rise of artificially intelligent machines will come at a cost--but with the potential to disrupt and transform society on a scale not seen since the Industrial Revolution. Jobs will be lost, but new fields of innovation will open up. The changes ahead will require us to rethink attitudes and philosophies, not to mention laws and regulations. Some people are already debating the implications of an automated world, giving rise to think tanks and conferences on AI, such as the annual We Robot forum, which takes a scholarly approach to policy issues. A registered patent attorney and board-certified physician, Ryan Abbott writes about the impact of artificial intelligence on intellectual property, health and tort law.

Machine-learning is all the rage in fraud detection, with industry analysts, academics, businesses and technology media examining the advantages of algorithms and big data in the fight against e-commerce fraud. Especially for fraud analysts working in companies with small budgets, machine-learning tools are seen as a cost-effective way to tighten fraud controls while maintaining fast decision times, as Forrester noted in its 2015 cross-channel fraud report. There's no question that machine-learning tools can be an effective component of fraud reduction program, but relying on them to save staffing costs may not be cost-effective in the long run. That's because while machine learning is an invaluable tool in the fight against fraud, it relies on human input and insight to create a comprehensive solution that yields the best results. Algorithms are useful for identifying potential fraud quickly, but due to variability in consumer behavior – such as making online purchases while traveling abroad -- some transactions will be falsely flagged for decline.

Digital Initiatives create new ways of conducting business, which drive the need for increasingly advanced security and regulatory compliance challenges with exponentially more damaging consequences. In the BMC and Forbes Insights Survey in 2016, 97% of executives said they expect a rise in data breach attempts in the next 12 months. Sixty percent said operations and security teams have only a general understanding of each other's requirements, resulting in a "SecOps gap" leaving organizations unable to mobilize to protect themselves. The result: many enterprises face unnecessary risks to data loss and production downtime. In his general session at 18th Cloud Expo, Atwell Williams, Senior Director of Customer Experience at BMC, covered BMC's innovative solution to deliver vigilant compliance, precise threat analytics and relentless remediation in pursuit of security for the digital era.

Hiring managers can spend hours using primitive keyword search tools to sift through half-relevant resumes on job boards, and workers with in-demand skills get bombarded with emails from recruiters offering them jobs they're not particularly interested in, says Ed Donner, cofounder and CEO of New York startup Untapt. "Hiring tech people is an incredible pain point," says Donner, who previously headed a technology team with hundreds of employees at JPMorgan Chase. "It's still impossibly hard to find talent." Untapt is one of a number of companies looking to make it easier to digitally dig through piles of resumes, using machine learning techniques to develop algorithms that predict how well-suited a candidate is for a job. Advocates and industry experts say that adding automation to recruiting can save time and money and can potentially help hiring managers find and consider a more diverse set of applicants.