Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment. The test comes as experts warm AI could wipe out a tenth of the global population in five years. The ability to identify and zone in on a specific target will be crucial for any useful robotic technology like driverless cars, the researchers at the University of Zurich in Switzerland believe. And despite the chilling prospect of allowing a robot to mark up a target, they believe their research will prove more useful than deadly. Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment.

Suppose a driverless car is headed towards five pedestrians - it can stay on course and kill them or swerve into a concrete wall, killing its passenger. This ethical dilemma is a difficult one - and it appears that people cannot decide which outcome is better. New research shows that people generally approve of cars programmed to sacrifice their passengers to save others, but these same people would not want to be in the car themselves. Autonomous vehicles (AVs), have the potential to benefit the world by eliminating up to 90 per cent of traffic accidents. However, not all crashes will be avoided, and some crash scenarios will require AVs to make difficult ethical decisions.

Last year, Chinese tech firm Alibaba paired with the country's largest automaker to connect their cars to the internet. Now, in an attempt to keep up with emerging technology, the companies will soon be implementing self-driving features into their vehicles. The car company's CEO Wang Jian told Reuters on Wednesday the new internet technology will allow the joint venture to quickly adapt its cars to become self-driving. Chinese auto maker SAIC Motor Corp Ltd joined forces with e-commerce giant Alibaba Group Holding Ltd to invest 1 billion yuan ($160 million/£123 million) in a fund to develop internet-connected cars. Chinese auto maker SAIC Motor joined forces with e-commerce giant Alibaba last year.

It is every Top Gun's worst nightmare - an AI can can outmanoeuvre them in the air. Now researchers have tested their AI on a retired top gun - and left him stunned. Retired United States Air Force Colonel Gene Lee took on the AI in a simulator - and lost. An AI has beated Air Force pilots in simulated showdowns for the first time. Retired United States Air Force Colonel Gene Lee took on the AI in a simulator.

Artificial intelligence can spot your face in a crowd of thousands with near-perfect accuracy, surpassing the ability of humans to do the same – but when confronted with a larger set of images, it's not quite up to par. In the MegaFace Challenge launched by the University of Washington, researchers are working to improve the capabilities of facial recognition algorithms at the million person scale. It's hoped that the competition will help to solve crucial problems in facial recognition, including the identification of a single person across different ages and poses. Artificial intelligence can spot your face in a crowd of thousands with near-perfect accuracy, surpassing the ability of humans to do the same – but when confronted with a larger set of images, it's not quite up to par Recently, facial recognition algorithms have proven their abilities to perform with near-perfect accuracy. But, these algorithms were trained on a dataset of just 13,000 images, and when confronted with a larger collection, accuracy dropped.

A new algorithm developed by MIT researchers could soon help astronomers generate the first image of a black hole. The system would stitch together data collected at stations around the world and fill in gaps in the information, using the entire planet as one'large radio telescope dish.' The project is part of an international collaboration called the Event Horizon Telescope, and has already recruited six observatories to join their efforts. A new algorithm could soon help astronomers generate the first image of a black hole. The system would stitch together data collected at stations around the world and fill in gaps, using the entire planet as one'large radio telescope dish.' Artist's concept above shows matter swirling into a supermassive black hole The Chirp model can be likened to a rubber sheet draped over regularly spaced cones of varying heights, each with a base of the same diameter, the researchers explain.

It's the question asked by a group of scientists in Amsterdam, whose radical new project aims to create smarter, more advanced robots through a process similar to sexual reproduction. While the idea may sound far-fetched, they've already demonstrated a proof of concept – in February, two robot parents came together to'mate,' and the first'robot baby' was born. What if robots could evolve? It's the question asked by a group of scientists in Amsterdam, whose radical new project aims to create smarter, more advanced robots through a process similar to sexual reproduction. On the right, the two parent robots can be seen near their'baby,' which is pictured left Robots are put into an arena where they live, work, and reproduce.

While most of us know how old we are from our birthday, there are some - like those who are orphaned at a young age - who have no idea when they were born. But now a new technique may make it possible to determine a person's age with a simple blood test. A team from Insilico Medicine in Baltimore, USA, have used artificial intelligence to create programmes that can predict a person's age from chemicals in their blood. In research published in the journal Aging, they explain how deep learning algorithms have allowed them to estimate someones age within a 10 year time frame with 83.5 per cent accuracy. By looking at biomarkers in the blood, such as glucose, urea, red blood cell count and the protein albumin, the Deep Neural Network was able to work out the age of who it came from.

The personal data of nearly 70,000 OKCupid users has been put online for anyone to see – not by hackers, but researchers. The group scraped information from the dating site and uploaded a paper discussing their findings to an online forum that encourages researchers to share raw social science data. Although no first names were released, other information such as sexual turn-ons, orientation, user names and location were - giving enough clues to figure out their real identities. Personal data of nearly 70,000 OKCupid users has been leaked – not by hackers, but researchers. The information scraped about the site's members was username, age, gender, religious astrology, number of photos and more – a total of 36 variables.

Some neuroscientists argue regardless of what details a person notes, the eyes still captured everything in front of them much like a camera. But a team of researchers has concluded that our eyes in fact only reflect the gist of the scenes before us. Experts believe our eyes in fact only reflect the gist of what we see, according to researchers. One of the experiments mentioned in the study to demonstrate flaws in perception is shown above. Snatch a glance out of a window and you may notice if it is raining and if a person is carrying an umbrella – but you may not recall the colour of the umbrella as well as other finer details. The team from Massachusetts Technology Institute (MIT) reviewed various studies about vision to come to their conclusion, published in the journal Trends in Cognitive Sciences as well as gathering visual tests together.