On March 15, in a nondescript room in the Four Seasons Hotel in Seoul, the human race was handed...

Sleep is a naturally recurring state of mind 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 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 species (such as humans) and in the day in nocturnal organisms (such as rodents). However, sleep patterns vary widely among animals and among different individual humans. Industrialization and artificial light have substantially altered human sleep habits in the last 100 years.[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]

Artificial Intelligence promises to benefit humankind in unprecedented ways. But small states are especially vulnerable to the technology's downside short of strengthening social cohesion and resilience. Artificial intelligence or AI, broadly defined as human-like intelligence and qualities exhibited by machines, has made a huge technological leap since 1956 when the term was first coined. Tech giants like Google and IBM believe that AI will benefit mankind in unprecedented ways. For example, autonomous vehicles are expected to enhance both traffic safety and flow whereas care-bots will aid in areas such as elderly and patient care.

"I never thought that I would be accepted into a human school," the robot said upon hearing of his successful enrollment at Hisashi High School in Waseda, Fukushima Prefecture. He also promised to "try my best," TASS reported. Pepper comes to the school with an impressive array of language skills, speaking both Japanese and English. He will mostly take part in English classes, though the school has told Pepper than he can also visit other classes and activities. Teachers believe learning alongside Pepper will be a positive experience for students, encouraging their desire to learn new information.

When viewed on a cosmic scale, humanity lives on a tiny grain of sand floating in an unimaginably-deep ocean. Huge expanses of space separate even the closest stars, ensuring that, should any sufficiently intelligent life form want to spread across the galaxy, it would take a momentous effort to launch across the interstellar seas. As we look toward the stars, hoping that we may visit them some day, many would argue that interstellar travel is impossible. After all, the nearest-known star system is over 4 light-years away. Let's think about that for a moment: It takes light 8 minutes and 20 seconds to travel from the sun's surface to our planet's atmosphere.

This paper addresses the problem of localizing audio sources using binaural measurements. We propose a supervised formulation that simultaneously localizes multiple sources at different locations. The approach is intrinsically efficient because, contrary to prior work, it relies neither on source separation, nor on monaural segregation. The method starts with a training stage that establishes a locally-linear Gaussian regression model between the directional coordinates of all the sources and the auditory features extracted from binaural measurements. While fixed-length wide-spectrum sounds (white noise) are used for training to reliably estimate the model parameters, we show that the testing (localization) can be extended to variable-length sparse-spectrum sounds (such as speech), thus enabling a wide range of realistic applications. Indeed, we demonstrate that the method can be used for audio-visual fusion, namely to map speech signals onto images and hence to spatially align the audio and visual modalities, thus enabling to discriminate between speaking and non-speaking faces. We release a novel corpus of real-room recordings that allow quantitative evaluation of the co-localization method in the presence of one or two sound sources. Experiments demonstrate increased accuracy and speed relative to several state-of-the-art methods.

New lip-reading technology developed at the University of East Anglia could help in solving crimes and provide communication assistance for people with hearing and speech impairments. The visual speech recognition technology, created by Helen L. Bear, PhD, and Prof Richard Harvey of UEA's School of Computing Sciences, can be applied "any place where the audio isn't good enough to determine what people are saying," Bear said. Those include criminal investigations, entertainment, and especially where are there are high levels of noise, such as in cars or aircraft cockpits, she said. Bear said unique problems with determining speech arise when sound isn't available -- such as on video footage -- or if the audio is inadequate and there aren't clues to give the context of a conversation. The sounds '/p/,' '/b/,' and '/m/' all look similar on the lips, but now the machine lip-reading classification technology can differentiate between the sounds for a more accurate translation.

R2-D2 may have played a part in defeating the Empire in Star Wars, but it didn't have a phone and its dance skills were terrible. However, soon you could call your friends on your very own droid that's small enough to fit in a backpack. Sharp showed off the prototype earlier this year - but today confirmed it will start selling it in Japan - for 1800. The gadget is an alternative to a conventional smartphone and has its own SIM card to make calls without having to be linked to a mainstream device. Sharp's robot contains a SIM card so it can make calls.

Mark Zuckerberg wants to overtake Elon Musk to become the real-world version of Marvel superhero Tony Stark. The billionaire Facebook founder has expressed his desire (in a Facebook post, of course) to spend 2016 building an artificially intelligent assistant to help run his life at home and work – and directly compared it to Jarvis, the AI companion developed by Stark in the Iron Man films. Previous aims have included spending a year eating only meat from animals he killed himself in 2011, to read two books a month in 2015, and to learn Mandarin in a year in 2010. And when he declares one of the challenges, he goes hard on it: in October last year, he showed off his language abilities, delivering a 20-minute speech to students at Beijing's Tsinghua University entirely in Mandarin. Zuckerberg will start the project by "exploring what technology is already out there". Existing home-automation tools from companies such as Google's Nest, Phillips and Samsung all allow a fairly high level of control of a "smart home", and can be paired with voice control software, including that from Apple, Amazon and Massachusetts-based specialists Nuance.

Unexpected convergent consequences…this is what happens when eight different exponential technologies all explode onto the scene at once. This post (the second of seven) is a look at artificial intelligence. Future posts will look at other tech areas. An expert might be reasonably good at predicting the growth of a single exponential technology (e.g., the Internet of Things), but try to predict the future when A.I., robotics, VR, synthetic biology and computation are all doubling, morphing and recombining. You have a very exciting (read: unpredictable) future. This year at my Abundance 360 Summit I decided to explore this concept in sessions I called "Convergence Catalyzers." For each technology, I brought in an industry expert to identify their Top 5 Recent Breakthroughs (2012-2015) and their Top 5 Anticipated Breakthroughs (2016-2018). Then, we explored the patterns that emerged. At A360 this year, my expert on AI was Stephen Gold, the CMO and VP of Business Development and Partner Programs at IBM Watson.