Put simply, today's machine-learning programs can't tell whether a crowing rooster makes the sun rise, or the other way around. Whatever volumes of data a machine analyzes, it cannot understand what a human gets intuitively. From the time we are infants, we organize our experiences into causes and effects. The questions "Why did this happen?" Suppose, for example, that a drugstore decides to entrust its pricing to a machine learning program that we'll call Charlie.

How much of what we consider to be fundamentally human can be reduced to an algorithm? Can we create something sufficiently advanced that people can no longer distinguish between the two? This, after all, is the idea behind the Turing Test, which has yet to be passed. At first glance, you might think music is beyond the realm of algorithms. Birds can sing, and people can compose symphonies.

Over the past five years, artificial intelligence has gone from perennial vaporware to one of the technology industry's brightest hopes. Computers have learned to recognize faces and objects, understand the spoken word, and translate scores of languages. Apple, Facebook, and Microsoft--have bet their futures largely on AI, racing to see who's fastest at building smarter machines. That's fueled the perception that AI has come out of nowhere, what with Tesla's self-driving cars and Alexa chatting up your child. But this was no overnight hit, nor was it the brainchild of a single Silicon Valley entrepreneur. The ideas behind modern AI--neural networks and machine learning--have roots you can trace to the last stages of World War II. Back then, academics were beginning to build computing systems meant to store and process information in ways similar to the human brain. Over the decades, the technology had its ups and downs, but it failed to capture the attention of computer scientists broadly until around 2012, thanks to a handful of stubborn researchers who weren't afraid to look foolish. They remained convinced that neural nets would light up the world and alter humanity's destiny.

Machine learning and artificial intelligence (AI) have long been heralded as the future of transformative technologies. From diagnostic and imaging technologies to therapeutic applications and robotics, the potential for machine learning and AI technologies reaches almost every corner of the medtech world. So, what does that mean for the development and application of next-gen medical devices? Dave Saunders is the chief technology officer of Galen Robotics, an emerging surgical robotics company that specializes in a new line of robotic technologies that provide a cooperatively controlled surgical platform. The company aims to provide robot-assisted technologies that can extend increased precision and unprecedented tool stabilization to microsurgery procedures.

Given a group of publications, we investigate the prob- lem of identifying the papers with the most impact on others. We refer to these papers as influential in the sense that they introduce new concepts and language that will affect how future articles are written. In this pa- per we propose weighted PageRank algorithm that uses textual information from articles and information from citation graph to rank the impact of publications, then we automatically summarize these publications and ex- tract important keywords. We show that using our algo- rithm outperforms default citation-based techniques in ranking influential papers (those which won best paper award) with no less than 2% in F1-score and NDCG. We also show that our algorithm outperforms previous graph-based keyword extraction techniques with no less than 1.5% in F1-score.

When he's not fielding reporters' questions about Nvida's latest AI chips at a conference or educating a congressional committee in Washington about the importance of investing in AI research, Ian Buck is in the AI-infrastructure trenches, pushing the limits of chip design to make data centers capable of handling ever more powerful AI applications. Riding the wave of AI enthusiasm, Nvidia's stock reached a record high last week ahead of the release of its first-quarter earnings announcement. Expectations that its data center business, which Buck leads as VP and general manager, would once again report a stellar quarter drove the surge. And the group didn't disappoint, reporting 71 percent more revenue than last year. Data Center Knowledge recently caught up with Buck to ask him about the latest trends in deployment of computing infrastructure that underpins AI applications in data centers.

Have you ever wondered what AI or Artificial Intelligence is all about? It's the deliberate reprogramming of the human race to think and to act according to controllers who want to have absolute control over every aspect of our abilities to think and to act other than the way they approve and program us to act! Is that happening already with some of the counter-culture crimes in order to steer humans into a'mental slave corral'? Following are excerpts taken from the source link below, which indicates certain aspects of where the NWO controllers are directing the future of humankind into becoming technological slaves to Artificial Intelligence, which most tech-addicted humans are not aware of, in my opinion. CG are the initials for Corey Goode, a person who worked with high tech and had extremely highly classified credentials, as I understand, which included interactions with extraterrestrial beings of higher intelligence than we, who are working with the U.S. tech companies and government agencies on ET projects.

While only a handful of researchers currently have the experience and skills to work on machine learning, it is imperative that the general public understand the role AI will play in our society and learn to adapt with it. Economists argue on exact figures of unemployment, but there is no doubt that AI will alter, if not eliminate, most unskilled labor jobs. There is not enough mainstream media coverage depicting this, leaving far too many people in the dark. The "Today" show should bring in computer scientists and engineers to discuss AI instead of a fashion designer to cover an awards show.

"My take is that pretty much all the food and beverage products on the market today are awful," Jason Cohen tells me, with fierce conviction. "There are literally no products engineered for me." Cohen is the founder and CEO of Analytic Flavor Systems, an NYC-dobased start-up that aims to usher in a new era of hyper-personalized food. We are meeting at a swank Australian coffee shop near the company's office in the financial district--the kind of place that offers multiple single-origin pour-over options--so he can tell me about his artificial intelligence (A.I.) platform, Gastrograph, which he says can be used to map taste preferences with unprecedented ease and precision. Cohen is lanky and self-possessed, with hair the color of damp straw. He drinks his coffee with the studied concentration of someone who takes flavor extremely seriously. Like many start-up CEOs, Cohen interprets his own dissatisfaction as a sign of a more general problem. They're also aimed at the lowest common denominator: There's nothing out there truly designed for you. The world of food and beverage manufacturing, Cohen says, is still oriented around "the predominant demographic," the flavors of things tailored to please a coarse approximation of majority appetites. Endless shelves of products that most people like, but few people really love.

A Northern California teen was arrested Wednesday for hacking a school district's computer system and changing the grades of up to 15 students. Authorities said they arrested David Rotaro, a sophomore at Ygnacio Valley High School in Concord, California, for infiltrating the school district's computer system. Rotaro, 16, said it was like "stealing candy from a baby," according to KGO-TV, an ABC affiliate in San Francisco. It took him five minutes to design a "phishing email," that he sent out to swipe login information from school faculty. Authorities didn't release Rotaro's name, however, he confessed to having committed the crime during an interview with KGO-TV.