The Autopilot software built into Tesla's electric cars already offers a glimpse of the future, with what feels like autonomous driving on the freeway. Today the company announced a suite of upgrades to the system, to be pushed over-the-air to existing cars over the next couple of weeks. "This is quite a massive enhancement," said Elon Musk, Tesla's CEO, at a press confernce. "I wish we could have done it earlier." Chief among the improvements in Autopilot Version 8.0 is increased reliance on the radar system in the company's Model S and Model X.

Over the past century, we have made massive strides in the rights revolution. These include rights for women, children, the LGBT community, animals, and so much more. Exploring the future, we must ask ourselves: what next? Will we ever fight for the rights of artificial intelligence? If so, when will this AI rights revolution occur, and what will it look like? We talk about protecting ourselves from AI, but what about protecting AI from us?

Where did the "cyber" in "cyberspace" come from? Most people, when asked, will probably credit William Gibson, who famously introduced the term in his celebrated 1984 novel, Neuromancer. It came to him while watching some kids play early video games. Searching for a name for the virtual space in which they seemed immersed, he wrote "cyberspace" in his notepad. "As I stared at it in red Sharpie on a yellow legal pad," he later recalled, "my whole delight was that it meant absolutely nothing."

When we see two people meet, we can often predict what happens next: A handshake, a hug, or maybe even a kiss. Our ability to anticipate actions is thanks to intuitions born out of a lifetime of experiences. Machines, on the other hand, have trouble making use of complex knowledge like that. Computer systems that predict actions would open up new possibilities ranging from robots that can better navigate human environments, to emergency response systems that predict falls, to Google Glass-style headsets that feed you suggestions for what to do in different situations. This week researchers from MIT's Computer Science and Artificial Intelligence Laboratory(CSAIL) have made an important new breakthrough in predictive vision, developing an algorithm that can anticipate interactions more accurately than ever before.

Experts believe that cyborg prostitution will help'clean up the industry' by reducing sexually transmitted diseases and ending sex slavery. The trafficking of women and children for sexual exploitation is one of the fastest growing criminal enterprises in the world. Every year, approximately 21 million adults and children are bought and sold into commercial sexual servitude. As you might imagine, life as a sexual slave is anything but enjoyable or safe for one's health. For this reason, the prospect that robots are likely to take over the prostitution industry by 2025 is, though controversial, heartening news.

When we see two people meet, we can often predict what happens next: A handshake, a hug, or maybe even a kiss. Our ability to anticipate actions is thanks to intuitions born out of a lifetime of experiences. Machines, on the other hand, have trouble making use of complex knowledge like that. Computer systems that predict actions would open up new possibilities ranging from robots that can better navigate human environments, to emergency response systems that predict falls, to Google Glass-style headsets that feed you suggestions for what to do in different situations. This week researchers from MIT's Computer Science and Artificial Intelligence Laboratory(CSAIL) have made an important new breakthrough in predictive vision, developing an algorithm that can anticipate interactions more accurately than ever before.

Dubai: Dubai Municipality has launched robots to help save lives on public beaches in Dubai, a first such initiative in the Middle East. The robot, which can reach a speed of 35kmph or approximately 12 times the speed of a human lifeguard, works by using remote control technology, said Dubai Municipality. The robot is about 125cm tall and can cover a distance of more than 130km. The robots are designed to withstand the worst climatic conditions. They can be used in the event of high waves or heavy ocean currents that are difficult for the human lifeguard to conduct rescue operations.

A cybersecurity startup is applying the same "deep learning" techniques that are used in modern image and voice recognition to detect malware. Deep Instinct launched late last year with a system that it says can go beyond typical antivirus programs by not only detecting known malware but also flagging dangerous software it's never encountered before. The company doesn't need to have security experts create digital rules specifying what kind of characteristics should trigger alerts, says Maya Schirmann, Deep Instinct's chief marketing officer. Instead, the system essentially trains itself by studying enormous numbers of applications, documents, images, and other common types of files, labeled simply for whether they contain malware or not. "The training phase happens on our own premises, at Deep Instinct," Schirmann says.

Blockchain technology brings security structures and incentives in line with the way we share information in the 21st century. Lloyd's of London knows a thing or two about business losses--for three centuries, the world's oldest insurance market has been paying out damages triggered by wars, natural disasters, and countless acts of human error and fraud. So, it's worth paying attention when Lloyds estimates that cybercrime caused businesses to lose 400 billion between stolen funds and disruption to their operations in 2015. If that number seems weighty--and it ought to--try this one for size: 2.1 trillion. That's Juniper Research's total cybercrime loss forecast for the even more digitally interconnected world projected for 2019. To put that figure in perspective, at current economic growth rates, it would represent more than 2% of total world GDP.