Sleep is a naturally recurring state of mind and body characterized by altered consciousness, relatively inhibited sensory activity, inhibition of nearly all voluntary muscles, and reduced interactions with surroundings.[1] It is distinguished from wakefulness by a decreased ability to react to stimuli, but is more easily reversed than the state of hibernation or of being comatose. Mammalian sleep occurs in repeating periods, in which the body alternates between two highly distinct modes known as non-REM and REM sleep. REM stands for "rapid eye movement" but involves many other aspects including virtual paralysis of the body. During sleep, most systems in an animal are in an anabolic state, building up the immune, nervous, skeletal, and muscular systems. Sleep in non-human animals is observed in mammals, birds, reptiles, amphibians, and some fish, and, in some form, in insects and even in simpler animals such as nematodes. The internal circadian clock promotes sleep daily at night in diurnal organisms (such as humans) and in the day in nocturnal organisms (such as rodents). However, sleep patterns vary among individual humans and even more widely among other species. In the last century, artificial light has in many areas of the world substantially altered sleep timing among both humans and many other species.[2] The diverse purposes and mechanisms of sleep are the subject of substantial ongoing research.[3] Sleep seems to assist animals with improvements in the body and mind. A well-known feature of sleep in humans is the dream, an experience typically recounted in narrative form, which resembles waking life while in progress, but which usually can later be distinguished as fantasy. Sleep is sometimes confused with unconsciousness, but is quite different in terms of thought process. Humans may suffer from a number of sleep disorders. These include dyssomnias (such as insomnia, hypersomnia, and sleep apnea), parasomnias (such as sleepwalking and REM behavior disorder), bruxism, and the circadian rhythm sleep disorders. In mammals and birds, sleep is divided into two broad types: rapid eye movement (REM sleep) and non-rapid eye movement (NREM or non-REM sleep). Each type has a distinct set of physiological and neurological features associated with it. REM sleep is associated with dreaming, desynchronized and faster brain waves, loss of muscle tone,[4] and suspension of homeostasis[citation needed]. REM and non-REM sleep are so different that physiologists classify them as distinct behavioral states. In this view, REM, non-REM, and waking represent the three major modes of consciousness, neural activity, and physiological regulation.[5] According to the Hobson & McCarley activation-synthesis hypothesis, proposed in 1975–1977, the alternation between REM and non-REM can be explained in terms of cycling, reciprocally influential neurotransmitter systems.[6]

All Tesla cars'from here on out' will be built with full autonomous capability - including the Model 3, Elon Musk announced yesterday. The Tesla CEO said'all of the cars we make are shipping with level five hardware with full self-driving capability.' Now, to demonstrate exactly what the technology will be able to do, Tesla has released an impressive video demonstrating the system. The video shows the vehicle leaving someone's garage, driving on a busy road, navigating through a car park and parallel parking itself. All Tesla car being produced, including the Model 3, are now being built with full autonomous capabilities. Model S and Model X vehicles with the new hardware are'already in production.' System will have eight cameras with 360 degree visibility around the car at up to 250 metres (820 feet) of range.

WhatsApp just got updated, with a huge range of new camera features for people to play with. And they are primarily meant playfully – the new features include tools that let you draw on pictures before they sent, and allow you to add emoji to your pictures. They also include a new way of adding people to group conversations that will come as a saviour for anyone who's used WhatsApp to organise anything. The new camera features were previously announced and work incredibly similarly to Snapchat. The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

The UK government's plans to check whether people are old enough to watch pornography might include creating a database of everyone's viewing habits. The Government has recently been looking to introduce new checks to ensure that adult content can only be viewed by those over 18. To do that, it will introduce age verification schemes, and sites that don't implement them will be rendered inaccessible from within the UK. But the mechanism involved in doing so could create an entire database of the UK's porn viewing habits, according to the Open Rights Group. Doing so will create a vulnerable set of information that could expose anyone, according to the group. The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

RTB House, a technology company specializing in retargeting scenarios, has come up with a brand new model that relies on deep learning (currently the most promising subfield of AI-oriented research) to craft digital features that recognize the attitude, intention and intent of internet users. It allows for accurate estimation of the conversion probability, which in turn makes personalized retargeting more efficient than before. The model can even be applied to users who haven't clicked ads, a long-sought after feature of digital marketers. Users take hundreds of small steps when visiting advertiser's website. The model developed by RTB House uses deep learning to identify every one of these footprints, in order to find patterns in decision-making.

Mouse squeaks may have more in common with human speech than we realised. Tinkering with a gene associated with language in humans has been found to mess up mice's mating calls. The gene, called FOXP2, is one of the most-studied genes involved in human brain evolution. It was discovered in the 1990s in a study of a British family that had 16 relatives who had difficulty making certain mouth movements and complex sounds. The gene turned out to encode a protein that is found in the brain while we develop in the womb, and its shape suggests it works by helping to turn other genes on and off.

Editor's note: At the ISC conference next week in Frankfurt, Andrew Ng, chief scientist at Baidu, will present the keynote address and Bryan Catanzaro, research scientist at Baidu's Silicon Valley AI Lab, will participate in the Analyst Crossfire Panel. Speech recognition has expanded accessibility, natural language processing helps answer user questions, and image recognition offers more intuitive search results. It's not surprising that AI is transforming internet companies. We believe the AI revolution will transform many other industries as well, from transportation to healthcare. AI research has been going on for decades, so you may ask "what has changed to make AI so useful today?"

Memory fills the gaps in information that even todays best AI algorithms can't Google's DeepMind artificial intelligence lab does more than just develop computer programs capable of beating the world's best human players in the ancient game of Go. The DeepMind unit has also been working on the next generation of deep learning software that combines the ability to recognize data patterns with the memory required to decipher more complex relationships within the data. Now, it's at this point where when we say "memory" you might think that we're referring to the type of RAM or some other form of hardware computer memory you stick into servers, but no. After all, say for example we asked you to predict an outcome then it's likely that not only will you draw on the information you have on hand at the time but you'll also – consciously or sub-consciously – draw on past memories that, when accessed and interpreted correctly, will help you create a better, more informed answer – or opinion. It's this "human" type memory – this "external" memory as researchers call it – that we're increasingly seeing being used to augment today's most advanced deep learning AI's – such as DeepMind. Deep learning is the latest buzz word for artificial intelligence algorithms called neural networks that can learn over time by filtering huge amounts of relevant data through many "deep" layers.

On Wednesday, Stephen Hawking spoke at the opening of Cambridge University's new artificial intelligence center, which, in part, will investigate potential problems the technology may pose, reports the Telegraph. In his address, Hawking, a long-time critic of unchecked and poorly considered advances in the area, warned, "The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity." SEE ALSO: Stephen Hawking: 'Human race has no future' without space travel He indicated that while it may, "finally eradicate disease and poverty," it could, "also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many." Further, said Hawking, "...in the future, AI could develop a will of its own -– a will that is in conflict with ours." The astrophysicist applauded the establishment of the Cambridge AI center, noting, "We spend a great deal of time studying history, which, let's face it, is mostly the history of stupidity ... so it is a welcome change that people are studying instead the future of intelligence."

There are a few moments in the history of artificial intelligence (AI) that are considered major breakthroughs – events that showed the power of machine intelligence in matching or surpassing human performance. Two examples are Deep Blue versus Kasparov in 1997 and Watson versus Jennings in 2008. Most recently, AlphaGo versus Lee Sedol became another major victory, this time driven by a fast developing field known as "deep learning." Deep learning–a machine learning technique based on artificial neural networks–is growing in popularity due to a series of developments in the science and business of data mining. Prior to AlphaGo's victory over the currently best Go player Lee Sedol, computer programs that played Go had only been able to beat average players.