AlphaGo, a largely self-taught Go-playing AI, last night won the fifth and final game in a match held in Seoul, South Korea, against that country's Lee Sedol. Sedol is one of the greatest modern players of the ancient Chinese game. The final score was 4 games to 1. Thus falls the last and computationally hardest game that programmers have taken as a test of machine intelligence. Chess, AI's original touchstone, fell to the machines 19 years ago, but Go had been expected to last for many years to come. The sweeping victory means far more than the US 1 million prize, which Google's London-based acquisition, DeepMind, says it will give to charity.

This is a guest post. The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE. What is AI and what is not AI is, to some extent, a matter of definition. There is no denying that AlphaGo, the Go-playing artificial intelligence designed by Google DeepMind that recently beat world champion Lee Sedol, and similar deep learning approaches have managed to solve quite hard computational problems in recent years. But is it going to get us to full AI, in the sense of an artificial general intelligence, or AGI, machine? Not quite, and here is why.

Editors Note: This week IEEE Spectrum is covering CeBIT, the enormous information and communications technology show that takes place annually in Hanover, Germany. For up-to-the-second updates, you can follow our CeBIT Ninja, Stephen Cass, on Twitter (@stephencass), or catch daily highlights throughout the week here. Once upon a time there was a very odd British television show called The Prisoner, which featured a secret agent repeatedly attempting to escape from a mysterious village. One of the biggest threats the agent faced was a giant balloon called Rover, which would pursue and subdue rule-breaking villagers. Now Rover has been brought to reality, albeit in a much more adorable version, thanks to the engineers at Aerotain and their Skye inflatable drone.

Morgan Pope is a Ph.D student investigating robots that live at the boundary of airborne and surface locomotion at Stanford's Biomimetics and Dextrous Manipulation Lab. He's the lead author on a paper about SCAMP that is in review for IEEE Transactions on Robotics, and enjoys reading, Star Wars, and trying to keep up with his three small children. What goes up must come down--unless it can perch on something first. Quadrotors have limited endurance because of restrictions on battery capacity and the physics of small-scale flight, but perching can allow them to operate for hours or even days, gathering data or performing communication tasks while stationary. Perching can be tricky, because the odds of your drone landing in just the right place are low.

Video Friday is your weekly selection of awesome robotics videos, collected by your starving Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. Domino's in New Zealand (or Australia, we're not sure) has developed this pizza-delivery robot and I can't tell if they're serious or not: The New Zealand government at least, is taking them seriously, according to Stuff.co.nz: Transport Minister Simon Bridges said Domino's had made contact "a few weeks ago" to inform the Government about DRU and see if New Zealand was interested in hosting trials.

The other day, I was in one of my student's homes. Noticing the lack of dust--really, the house is always clean--I joked to her, "Is it you or your parents vacuuming these floors so well?" She told me that they actually have a central vacuum system installed in the house. As someone who lives in a rather modest townhouse, she might as well have been speaking Latvian. Thus, as I usually do, I began the rabbit hole internet search about central vacuum systems.

Recently I looked a project being undertaken by a British team from Lancaster and Manchester universities respectively. The team were looking at how robotics could be better deployed to help in the aftermath of a nuclear accident. It's part of a growing trend that is seeing robots deployed in extremely hazardous environments, such as this German project that is using robots in bomb detection and disposal situations. A common feature of most of these projects is that human beings remain in control of the robots, which can create issues regarding the agility of the robots and their responsiveness to circumstances on the ground. A British team are attempting to rectify this with a new system that uses telepresence to allow for a more adaptive means of controlling the robot.

"This is one more incident that could have brought down an airliner, and it's completely unacceptable," she said in a statement. Operators also must keep their drones away from other aircraft and groups of people. The FAA has received at least 42 reports of drones flying unsafely near LAX, the nation's second-busiest airport, since April 2014, according to a Los Angeles Times analysis last fall of federal data released by Feinstein. The data shows nearly 200 pilot reports of close encounters involving drones in California alone during the past two years, the most of any state, according to the Times. In a 2014 letter to the FAA, Feinstein cited three instances in which drones flew dangerously close to passenger planes near major airports -- two on the same day in May of that year at New York City's LaGuardia Airport and LAX, and another at John F. Kennedy International Airport in New York in March 2013.

Perhaps the home of the future will be filled with robots. Or maybe that home itself will be a robot. That's the vision some technologists have for the future of domestic living, and a startup called Brain of Things announced Thursday that it is developing what the company's founder refers to as "robot homes" in three locations in California. These apartments come with a stunning array of sensors and automated fixtures and appliances. They also have the ability to learn and adapt to residents' habits and preferences to an almost creepy degree, thanks to computer servers that collect data and use it to build models of behavior using machine-learning algorithms.

AlphaGo, the artificial intelligence that has mastered one of our oldest and most complex games – Go – is the toast of Silicon Valley. But in South Korea, where Go is considered a form of expression akin to martial arts, the mood is different. Here, the game pulls in television contracts and corporate sponsors. Now, after 2500 years of tradition in the region, South Korea's top player has been bested by a cyborg, its culture shaken by technology. Watching Google's AlphaGo AI eviscerate Korean grandmaster Lee Sedol put the nation into shock, especially after the national hero confidently predicted that he would sweep AlphaGo aside.