Opening a cognitive computing center in Romania is on the list of upcoming activities of the American IT company – IBM. The Ministry of Communications and Information Society has recently informed the public about the ongoing negotiations with IBM on setting up a specialized center for cognitive technology in Romania, as reported by Business Review. According to their statement, the Romanian government has already signed a memorandum of understanding with IBM. Both the Ministry of Education and Research and the Ministry of Communications and Information Society have emphasized the importance of cognitive computing technology as a prosperous growth area for Romania. They have identified it as a high potential for the country to become a leader in the industry.

Since the dawn of manufacturing, designers and engineers have repeatedly run up against limitations to making things. Their ability to execute and capacity to afford bringing their ideas to market were once constrained by the manufacturing facility they had to find--either local or offshore--to build the things they wanted to build. But in a new world of enhanced robotics, factory automation, 3D printing, generative design, and design-make-use convergence, engineers' project limitations will fade away. And it's all because machine learning, computing power, and robots in the workforce are increasingly capable and intelligent. Soon, engineers will be able to design the best thing possible and then hand it to robots to dissect and turn into a series of assembled 3D-printed components.

Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] As machines become increasingly capable, facilities once thought to require intelligence are removed from the definition. For example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence" having become a routine technology.[3] Capabilities still classified as AI include advanced Chess and Go systems and self-driving cars. AI research is divided into subfields[4] that focus on specific problems or on specific approaches or on the use of a particular tool or towards satisfying particular applications. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[5] General intelligence is among the field's long-term goals.[6] Approaches include statistical methods, computational intelligence, soft computing (e.g. machine learning), and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience and artificial psychology. The field was founded on the claim that human intelligence "can be so precisely described that a machine can be made to simulate it."[7] This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by myth, fiction and philosophy since antiquity.[8] Attempts to create artificial intelligence has experienced many setbacks, including the ALPAC report of 1966, the abandonment of perceptrons in 1970, the Lighthill Report of 1973 and the collapse of the Lisp machine market in 1987. In the twenty-first century AI techniques became an essential part of the technology industry, helping to solve many challenging problems in computer science.[9]

The human eye is considered to be a wonder of evolution, yet despite decades of study, scientists have been unable to pinpoint just how good people are at seeing in the dark. But now a new study has revealed that our eyes may be far better than we could possibly have imagined in dark conditions. It found that the human eye is capable of detecting as little as a single photon - the subatomic particles that make up light - hitting the retina in a dark room. The study found that the human eye (pictured) is able to detect single photons - tiny particles of light - suggesting that people's night vision may be much more advanced than previously thought More than 30,000 trials were carried out by three men in their 20s, with one wearing contact lenses. For each test, the men sat in a completely dark room while wearing headphones with their heads kept motionless using a headrest.

As the sun rose over the Sonora Desert in late June, Mark Zuckerberg stood beside a runway not far from the Mexican border. Next to him stood Facebook vice president of engineering Jay Parikh and a few other colleagues, all eyes on the strip of asphalt that stretched toward the horizon. They had arrived a little before dawn, and they were the latecomers. A team of Facebook technicians began prepping the launch at midnight the day before. Among them was Martin Gomez, who sat inside a trailer at the other end of this Army airfield near Yuma, Arizona, taking the crew through its "go"-"no go" checklist.

When Mary Wollstonecraft Shelley penned the cult classic Frankenstein, she referred to the story's ill-fated protagonist as "The Modern Prometheus," directly referencing the Greek Titan known for creating mankind. Prometheus loved humans, so much so that he stole the gift of fire from Mount Olympus and passed it on to the lowly humans who were neglected by the Gods. His generosity, however, was to undue him and curse him for the rest of his existence. Frankenstein would also share this fate after taking on the role as creator, a responsibility that ended up being too much to bear. And now, after centuries of reiterating the same theme, we too are becoming the modern Prometheus.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

This will be the definitive forum on the shape of the next economy. Be part of the discussion and understand how the technological revolution will shape the future of work and business. "Could a machine do your job?" ask Michael Chui, James Manyika, and Mehdi Miremadi in a recent McKinsey Quarterly article, "Where Machines Could Replace Humans and Where They Can't Yet." "As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail."

Researchers from Delft University of Technology in the Netherlands have created a rewritable data-storage device capable of storing information at the level of single atoms representing single bits of information. The technology, which is described in the current issue of Nature Nanotechnology, is capable of packing data as dense as 500 terabytes per square inch. Theoretically, the device could store the entire contents of the US Library of Congress within a 0.1-mm-wide cube--though the proof-of-concept demonstrated by the group topped out at 1 kilobyte. On Tuesday, DigitalGlobe, a satellite-imagery company, announced that it will provide high-resolution pictures of the planet's surface to Uber. DigitalGlobe is the primary provider of satellite imagery to Google, Apple, and the U.S. government.

As artificial intelligence (AI) makes deeper inroads to improve our daily life, a group of Land Rover engineers have helped the British Land Rover BAR team by building a faster boat so that they could win the sailing competition America's Cup. Using AI, the engineers worked for more than a year to find patterns in the boat's performance data which could be used to make it go faster, the company said in a statement on Thursday. Land Rover BAR is second in America's Cup World Series rankings, following a podium finish in Chicago in the US recently. The next leg is in the island city of Portsmouth from July 21-24 when the team will try to close the 10-point gap to series leader Emirates Team New Zealand. "Land Rover's AI could prove the difference in its bid to win the America's Cup for the first time for Britain," said Sir Ben Ainslie, Land Rover BAR Team's principal and skipper.