Last week an artificial intelligence won the first Go game against the human. Yesterday, the same software lost because it rated as highly improbable a move by the human player. While machine learning progresses exponentially, it keeps on having trouble coping with rare events. As long as artificial intelligences are used to play games, this issue does not really matter. Ignoring the event is arguably a good strategy in such a context, as it ensures that the majority of games will be won over a large number of games.

Today Silicon Valley chip maker Movidius released the Fathom Neural Compute Stick. It looks like a measly thumb drive, but inside it packs a high-end visual processing unit that can do a bunch of advanced image recognition. That chip, which is called the Myriad 2, is the same one powering the computer vision and autonomous features in DJI's latest drone. The Fathom is basically a plug-and-play version of the Myriad 2, and Movidius hopes engineers will use it to build deep learning features like like pixel-by-pixel imagine labeling and advanced video analytics into their existing products. "It lets you implement machine learning in an ad hoc manner," Cormac Brick, head of machine learning at Movidius, tells The Verge.

Tesla CEO Elon Musk introduces the Model X. I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it's probably that. So we need to be very careful with artificial intelligence...With artificial intelligence, we're summoning the demon. You know those stories where there's the guy with the pentagram, and the holy water, and he's like -- Yeah, he's sure he can control the demon?

Once your business is no longer the innovative upstart and you become the establishment entity, how do you maintain an entrepreneurial and disruptive spirit that gets results? That's the question Apple had to ask itself this week, following an iffy earnings report. This week, Apple posted the earnings results for the second quarter of 2016, and reported a year-over-year decline in quarterly revenue for the first time in 13 years. The company took in 50.6 billion in quarterly revenue and 10.5 billion in quarterly net income. On a call with investors, CEO Tim Cook characterized that 13 percent dip in revenue as a "pause in our growth," that had stemmed from "ongoing macroeconomic headwinds in much of the world." Despite the break in the company's decade plus streak of "record" growth, it's unlikely that the tech giant's standing as one of most valuable and authentic brands in the world will be dinged in any significant way.

Apply now to be an Enterpreneur360 company and let us tell the world your success story. Once your business is no longer the innovative upstart and you become the establishment entity, how do you maintain an entrepreneurial and disruptive spirit that gets results? That's the question Apple had to ask itself this week, following an iffy earnings report. This week, Apple posted the earnings results for the second quarter of 2016, and reported a year-over-year decline in quarterly revenue for the first time in 13 years. The company took in 50.6 billion in quarterly revenue and 10.5 billion in quarterly net income. On a call with investors, CEO Tim Cook characterized that 13 percent dip in revenue as a "pause in our growth," that had stemmed from "ongoing macroeconomic headwinds in much of the world."

In the Internet of Things (IoT), formerly unconnected devices are wirelessly linked to the Internet so that they can report and collect data or automate systems. It's fairly clear that the IoT will soon be a multitrillion-dollar business, with estimates of its size reaching 11 trillion to 19 trillion a year by 2025, according to McKinsey and Cisco. And one of the most important industries for IoT is the automotive market. Connected cars, autonomous driving systems, artificial intelligence, cloud computing, and a host of other technologies are driving huge changes for carmakers, and the IoT has a hand in them all. By 2020, consultancy Gartner estimates that nearly 250 million cars will be connected to the Internet, and PriceWaterhouseCooper forecasts that the connected car market will be worth 149 billion by that year.

Even with bottled oxygen and elite training, there are underwater locations that lie well beyond our physical capabilities. But via haptic feedback technology and artificial intelligence, Stanford University's humanoid diving robot is now putting the ocean's depths within human reach. In its maiden expedition, the OceanOne droid has just scoured an untouched shipwreck off the coast of France and returned with a delicate, 17th century vase in its grip. Researchers are now eyeing future voyages to coral reefs, oil rigs and underwater disaster zones. With our deep sea diving capabilities only taking us so far, we have long sought to send robots down below to do the investigating for us.

A new invention has emerged from the sea as a robotic humanoid capable to explore the ocean while its driver is safe into a boat. This is not a dream but a reality taken off from a science-fiction page. This machine was designed by Oussama Kathib, a professor at Stanford University in the field of computer science in an attempt to develop better ways to study the deepest oceans and all treasures the sea may hide. It was created as the perfect representation of the human being.The machine was named OceanOne and its capability for underwater exploration is incredible. This robot has two hands, a stereo vision and the best of all: the robot driver can feel what the robot is doing without the dangers or time limits associated with diving.

Video Friday is your weekly selection of awesome robotics videos, collected by your non-flexible Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two 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. Friend o' the blog Markus Waibel sent us this video of the craziest ETH Zurich Flying Machine Arena project (so far): the monocopter, which has one prop and nothing else. We're told that Markus bet that this thing could only work in theory, and lost: This video introduces the monospinner, the mechanically simplest controllable flying machine in existence.

Piano Tiles 2 may drive most users up the wall as it becomes increasingly difficult to keep up with the speed, but for a robot, smashing human records is no big deal. The popular game works for smartphone or tablet and requires you'don't tap the white,' pressing only the black tiles as they cascade down the screen. In a recent video posted to YouTube, a homemade robot proves is not only capable of playing the game, but hits a record-breaking 21.079 tiles per second before missing a step. In a recent video posted to YouTube, a robot proves is not only capable of playing the game, but hits a record-breaking 21.079 tiles per second before missing a step. According to the achievement screen which pops up after the robot stops playing, it'beat 100% players globally,' and set a new personal best The first game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952.