In the future, will artificial intelligence be so sophisticated that it will be able to tell when someone is trying to deceive it? A Carnegie Mellon University professor and his team is working on technology that could move this idea from the realm of science fiction to reality. Their work -- rooted in game theory and machine learning -- is part of a larger push for more advanced AI. As AI becomes more commonplace in the technology we use every day, detractors and supporters are becoming more vocal about its potential risks and benefits. For some, smarter AI sets up a dangerous precedent for a future too reliant on machines to make decisions about everything from medical diagnoses to the operation of self-driving cars.

Most people have occasionally experienced an awkward hug/handshake combination where one person goes in for a hug while the other extends a hand to shake. Still, more often, humans are able to anticipate how to meet another person's greeting, thanks to years of experience with human interaction. But can a machine develop the same kind of intuition? Researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) in Cambridge set out to train a computer to be able to predict how people will greet each other. And their algorithm can do just that.

Swarm intelligence has made some impressive predictions on horse racing this season, by correctly placing the top four Kentucky Derby finishers last month. This might affect bookies but what about horses? If an "artificial" intelligence can benefit betting, can it help keep a horse healthy and performing well? A French startup called Arionea thinks so. The company is betting big that artificial intelligence (AI) and the Internet of Things (IoT) will revolutionize the racetrack -- with the help of a new device dubbed the Equimetre.

This week, the Federal Aviation Administration announced new rules regarding drone operation. Here are 5 things you need to know. A man flies a small drone presented by Japan's toy company Nikko Kyosho EGG at the International Tokyo Toy Show on June 9, 2016. WASHINGTON – New drone rules from the Federal Aviation Administration limit most small commercial drone operations to daylight hours and require operators to get certified every two years. The rules, made public Tuesday, mark the FAA's first attempt at a comprehensive plan to ensure the popular remote-controlled aircraft can safely share the skies with commercial craft.

In the not-too-distant future, Amazon could use a drone to deliver a package from a country warehouse all the way to … a nearby farm. And that, the government said on Tuesday, is about it. The Obama administration green-lit commercial drone flights but said it wasn't ready to let Google and Amazon launch automated drone delivery fleets out across urban areas. The regulations mark the government's first explicit efforts to define the commercial uses for the horde of small, plastic, buzzing aircraft that are invading America's skies. The Federal Aviation Administration said commercial drones are OK so long as the drone and its payload weigh less than 55lb, stay within unaided sight of the pilot and operators pass a test every two years.

Ed. Note: this post is in my voice, but it was co-written with Kevin Jamieson. Kevin provided the awesome plots too. It's all the rage in machine learning these days to build complex, deep pipelines with thousands of tunable parameters. Now, I don't mean parameters that we learn by stochastic gradient descent. But I mean architectural concerns, like the value of the regularization parameter, the size of a convolutional window, or the breadth of a spatio-temporal tower of attention.

A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. This research is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. Levine will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods.

Artificial intelligence has gained serious traction within the technology community as a solution for complex problems, though in January 2015, Bill Gates observed robotics and artificial intelligence are entering a period of rapid advances. For example, Google, Apple, and Microsoft are competing to transform vehicle transport with self-driving vehicles. In manufacturing, autonomous production enables companies to adapt products to diverse consumer markets and many more. Unmanned drones provide sustained surveillance and swift attacks on targets, and small robots are used to disarm improvised explosive devices. The military is currently funding research to produce more autonomous and self-aware robots to diminish the need for human soldiers to risk their lives.

Diagnosing cancer is about to get more accurate, with the help of artificial intelligence. Pathologists have diagnosed diseases in more or less the same way for the past 100 years, by laboring over a microscope reviewing biopsy samples on little glass slides. Working almost robotically, they sift through millions of normal cells to identify just a few diseased ones. The task is tedious and prone to human error. But now, scientists and engineers have created a technique that uses artificial intelligence (AI) and can differentiate cancer cells from normal cells almost as well as a top-notch pathologist.

Yahoo has launched an application to make it easier for people to plan their next trip. Called Yahoo Radar, it brings the company's search, communication, and content areas together to help you research your destination. With elements that you'd find in Kayak, TripIt, and TripAdvisor, this iOS app pulls from a variety of sources, including your inbox, to curate information about any U.S. city. Billed as a virtual travel guide assistant, Yahoo Radar adds artificial intelligence and machine learning to bring you the best recommendations for restaurants, activities, and attractions on your trip. As it's just been released, the first version of the app only lets you do research -- you can't book flights or accommodations or make other reservations, or even deep-link into third-party apps.