This CH-4 drone is carrying two satellite guided bombs on its inner pylons, and two Blue Arrow 7/9 anti-tank missiles on the outer pylons. The CH-4's electro-optical sensor turret is retracted in flight, under the fuselage, to reduce drag. Chinese drones such as the CH-3 and CH-4 have become a key part of the proliferation of the technology, joining China's air force as well as being sold to a wide range of foreign partners, from Myanmar to Saudi Arabia. They have even recently used in battlefields that range from Nigeria to Iraq. However some have argued that the significance of these systems is overblown, as unlike their satellite link equipped American counterparts, Chinese made armed drones could not truly conduct what is known as a "remote split operation."

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient wish to forge the gods."[1] The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain. The Turing test was proposed by British mathematician Alan Turing in his 1950 paper Computing Machinery and Intelligence, which opens with the words: "I propose to consider the question, 'Can machines think?'" The term'Artificial Intelligence' was created at a conference held at Dartmouth College in 1956.[2] Allen Newell, J. C. Shaw, and Herbert A. Simon pioneered the newly created artificial intelligence field with the Logic Theory Machine (1956), and the General Problem Solver in 1957.[3] In 1958, John McCarthy and Marvin Minsky started the MIT Artificial Intelligence lab with 50,000.[4] John McCarthy also created LISP in the summer of 1958, a programming language still important in artificial intelligence research.[5] In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. McCorduck (2004) writes "artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized," expressed in humanity's myths, legends, stories, speculation and clockwork automatons.[6] Mechanical men and artificial beings appear in Greek myths, such as the golden robots of Hephaestus and Pygmalion's Galatea.[7] In the Middle Ages, there were rumors of secret mystical or alchemical means of placing mind into matter, such as J?bir ibn Hayy?n's Takwin, Paracelsus' homunculus and Rabbi Judah Loew's Golem.[8] By the 19th century, ideas about artificial men and thinking machines were developed in fiction, as in Mary Shelley's Frankenstein or Karel?apek's

Two decades on from artificial intelligence beating chess grandmaster Garry Kasparov, AI is proving it can do some conventionally human jobs. One UK-based health app now hopes its AI can take over some tasks that would usually only be trusted to a doctor or nurse. In a swish new office in London's Chelsea on Tuesday, health technology firm Babylon pitted its app against a junior doctor and a nurse with 20 years of accident and emergency experience. The machine and the medical professionals were tasked with deciding the priority of treatment for an ailment, a process known in the medical profession as triage. Irwin Nazareth, professor of primary care and population sciences at UCL and a committee chairman at Health Education England, moderated the challenge and ruled the artificial intelligence was as accurate as the nurse and doctor in its assessments.

KANDAHAR, AFGHANISTAN – When U.S. drones obliterated a car carrying Taliban leader Mullah Akhtar Mansour last month, it was the kind of targeted killing that unmanned aircraft are best known for. But 15 years after a drone first fired missiles in combat, the U.S. military's drone program has expanded far beyond specific strikes to become an everyday part of the war machine. Now, from control booths in the United States and bases around the Middle East, Afghanistan and parts of Africa, drone crews are flying surveillance missions and providing close air support for troops on the ground. "In the wars we fight, this is the future," said drone pilot Lieutenant Shaw, as he stood in a hangar at the air force's drone base in the southern Afghan city of Kandahar. Crews spoke to Reuters on condition that only their first names and rank be used to identify them.

There are huge advancements in information and communications technology and these have changed how we work and live. Technologies such as blockchains are shaping the future of banking with potential applications in the health and other sectors. Books like the Augmented have predicted what the future societies will be like considering the Internet of things (IOT), our cars will not need drivers, the computers might not need keyboards anymore as it would recognise our voices and obey our commands, we may be selective in the kind of friends we keep as we can have meaningful conversations with chat bots considering the huge gains made in Artificial Intelligence (AI). It is with fascination that we watch these advancements in technologies and a huge shift from the socio-cultural norms which is being experienced in every sphere of our life, we do not need physical presence to open bank accounts anymore, we have apps that track our spending, apps that prepare our shopping list based on our shopping patterns, tell us the best deals and even place orders, we anticipate a time when wearable health devices will alert us about something happening to our body before we even know; devices will alert doctors and carers before a patient have a heart attack. What a beautiful future – "life in the smart lane" Brett King (2016), but how evenly distributed is the anticipation for the augmented?

"Alexa, ask Pebble how the Kickstarter campaign is doing." Today, we're very excited to announce that integrated Amazon Alexa support is coming Pebble Core! Core will be the first truly independent 3G wearable to give you the magic of Alexa on the go. Ask for your latest workout summary, catch up on current news, check the weather, or change your tunes--Alexa has you covered with its ever improving set of skills. Pebble Core streams music from Spotify, tracks your workouts with GPS, and now gives you the power of Alexa--all from the palm of your hand. Back the first truly connected ultra-wearable on Kickstarter, starting at 69.

This summer, the picturesque Birchcliffe Centre, a converted baptist church in the West Yorkshire village of Hebden Bridge, hosted an unusual festival. Guests danced across the sunlit floor to the music of Johann Sebastian Bach; they drank mugs of tea and watched talks. Outside, there was an "art walk" where attendees trudged up and down the muddy slopes, breathing in the scent of early summer flowers. There were nice places to eat, the village was welcoming. Everyone felt safe and included.

We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling country--country interaction event data. These data consist of interaction events of the form "country $i$ took action $a$ toward country $j$ at time $t$." BPTD discovers overlapping country--community memberships, including the number of latent communities. In addition, it discovers directed community--community interaction networks that are specific to "topics" of action types and temporal "regimes." We show that BPTD yields an efficient MCMC inference algorithm and achieves better predictive performance than related models. We also demonstrate that it discovers interpretable latent structure that agrees with our knowledge of international relations.

FUTURE PREDICTIONS: In 1998, Kodak had 170,000 employees and sold 85% of all photo paper worldwide. Within just a few years, their business model disappeared and they went bankrupt. What happened to Kodak will happen in a lot of industries in the next 10 years - and most people don't see it coming. Did you think in 1998 that 3 years later you would never take pictures on paper film again? Yet digital cameras were invented in 1975.

The beloved trio of Top Gear presenters is long gone, but another pillar of the BBC's most popular show endures: spectacular stunts in exotic locales, with cars that drill dimples into your cheeks. That explains why even in the, let's just say mixed reviews of the new crew's first episode, no one complained about the American's star turn. In a 10-minute segment, new host Matt LeBlanc took the dirt-spitting Ariel Nomad for a run through the Moroccan desert, dodging "villains" riding motorcycles, flying drones, and doing whatever it is you do with a paramotor. The 47,000 Nomad is the off-road sibling to the bonkers Atom, so it obviously struck the Top Gear guys as something "we can have a lot of fun with," says series producer Alex Renton. He's been with the show for 11 years and got the top job for this, its 23rd season. Putting LeBlanc behind the wheel brought a dose of comedy to an already silly car and the 30-person "traveling circus" that descended on Northern Africa for three days in February.