The idea of a dystopia in which intelligent machines learn human tasks and resolve to put an end to our existence, so common in literature and science fiction cinema, seems to be only a matter of time. More proof of this comes from DeepLoco, a computer program created at the University of British Columbia in the United States, which has learned a number of activities by itself. The intelligent software uses machine learning and was created just to develop skills on its own. In this way, it discovered how to walk and run in the open or between obstacles, just as it learned to play football – or at least carries it with the feet. The video below shows some of the capabilities of DeepLoco.

The issue of Artificial Intelligence (AI), which will replace human employees, has become one of the hottest topics in the news, and studies continue to praise the growth and wealth potential of the AI due to increased productivity. At the same time, other reports warn of threats to employment and worsening wage inequality between skilled and less skilled workers. Despite these alerts, nothing seems to stop technological progress. According to the latest study published by the prestigious Yale and Oxford universities, AI should surpass humans in all areas in less than 50 years. To arrive at this prediction, The two universities turned to specialists in artificial intelligence from around the world.

Security strategies must undergo a radical revolution. Tomorrow's security devices will need to see and operate internally among them to recognize changes in the interconnected environments and thus automatically be able to anticipate risks, update and enforce policies. Devices must have the ability to monitor and share critical information and synchronize their responses to detect threats. A new technology that has recently grabbed attention lays the foundation for such an automation approach. This has been called Intent-Based Network Security (IBNS).

If you are a veterinarian or have ever had to take (or even find) your pet to a clinic because you suspected that it was in pain or discomfort, you know how difficult this can be in some cases. However, this may change soon, as researchers at the University of Cambridge have a new tool in hand. Incredibly, the new facial recognition software called the Sheep Pain Facial Expression (SPFES) has achieved a pretty incredible mark: just by looking at a sheep's face, it can determine how much pain it is suffering. It may seem like a pure kick or something technically inaccurate, but it's not quite like that. Briefly, sheep have specific facial expressions for each level of pain they feel, something that can be very subtle and interpretive to the human eye or simply too laborious for those who can understand.

In order to be at the forefront of the race for self-propelled vehicles, South Korea is building a huge test track: the K-City is as big as a small town, simulates the real traffic and is scheduled to go into operation in autumn. Not only the USA and Germany but also South Korea is working on the self-propelled car. The South Korean government is now taking a further step to advance the technology in their own country faster. In October, the K-City will be opened. It is a 360,000 square meter site near the city of Hwaseong, on a giant test track for autonomous vehicles, narrow streets, traffic lights, roundabouts, even more, traffic lights, parking lots, bus lanes and an expressway.