Global law firm Baker & McKenzie has paired with Euromoney Thought Leadership to reveal what is driving the global financial services industry towards a rapid embrace of Artificial Intelligence and Machine Learning, and the implications both for the industry and financial markets as a whole. Ghosts in the machine: Artificial intelligence, risks and regulation in financial markets shows an industry rapidly seeing the potential benefits of AI, while being increasingly concerned about risk and the ability of regulators to keep pace. The survey asked 424 senior executives from financial institutions and fintech companies around the world as well as leading experts in the field for their view on how AI will affect the financial sector, what risks and benefits AI will bring to the sector, what the associated regulatory and legal challenges will be and many more questions. Surprisingly similar views emerged from across the globe, with only a few notable variations, such as AI investment seen as lagging slightly in Asia Pacific compared to other regions and Latin American participants seeing AI as a regulatory tool to combat money laundering first rather than market misconduct, the top choice elsewhere. The results provide some insights into the likely future of the financial sector.

Imagine a human being born on the cusp of a robotic revolution. At first, when the machines take over the economy, Bill is stoked. He wakes up late every morning, smokes some 22nd century weed and then watches TV. His degree in accounting has become worthless, because there is nothing he could do that couldn't be done better by a machine. Bill plugs his brain into a virtual world, becomes obsessed with killing dragons and winning digital gold, and dies shriveled and alone as a level 900 paladin.

Here's a scene from our digital future: You sit down to dinner at a restaurant where your server was selected by a "robo-boss" based on an optimized match of personality and interaction profile, and the angle at which he presents your plate, or how quickly he smiles can be evaluated for further review. Or, perhaps you walk into a store to try on clothes and ask the digital customer assistant embedded in the mirror to recommend an outfit in your size, in stock and on sale. Afterwards, you simply tell it to bill you from your mobile and skip the checkout line. These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships. In his session at Gartner Symposium/ITxpo 2016 in Orlando, Daryl Plummer, vice president, distinguished analyst and Gartner Fellow, discussed how Gartner's Top Predictions begin to separate us from the mere notion of technology adoption and draw us more deeply into issues surrounding what it means to be human in a digital world.

Emotionally intelligent computers are already changing how we see ourselves as humans. As we make computers more human, we learn more about us. This has already changed how we see our skills, talents and intelligence. How we see emotional intelligence, personalities and leadership will change too. Computers can now read our emotions by reading our faces.

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

American Academy of Arts and Sciences welcomes Carnegie Mellon's Tom Mitchell On Wednesday, April 20, the American Academy of Arts and Sciences (AAAS) announced its 2016 member class, which included Tom Mitchell, a member of Carnegie Mellon's Machine Learning Department. Mitchell has been with Carnegie Mellon since 1986 and was named Fredkin University Professor of Artificial Intelligence and Machine Learning. Mitchell also served for 10 years as the founding head of the Machine Learning Department. His research focuses on learning algorithms, with particular interest in analyzing MRIs to model brain cognition. In addition to his new membership in the AAAS, he has also been elected fellow of the American Association for the Advancement of Science, and served for two years as President of the Association for the Advancement of Artificial Intelligence.

Dreams are successions of images, ideas, emotions, and sensations that occur usually involuntarily in the mind during certain stages of sleep.[1] The content and purpose of dreams are not definitively understood, though they have been a topic of scientific speculation, as well as a subject of philosophical and religious interest, throughout recorded history. The scientific study of dreams is called oneirology.[2] Dreams mainly occur in the rapid-eye movement (REM) stage of sleep--when brain activity is high and resembles that of being awake. REM sleep is revealed by continuous movements of the eyes during sleep. At times, dreams may occur during other stages of sleep. However, these dreams tend to be much less vivid or memorable.[3] The length of a dream can vary; they may last for a few seconds, or approximately 20–30 minutes.[3] People are more likely to remember the dream if they are awakened during the REM phase. The average person has three to five dreams per night, and some may have up to seven;[4] however, most dreams are immediately or quickly forgotten.[5] Dreams tend to last longer as the night progresses. During a full eight-hour night sleep, most dreams occur in the typical two hours of REM.[6] In modern times, dreams have been seen as a connection to the unconscious mind. They range from normal and ordinary to overly surreal and bizarre. Dreams can have varying natures, such as being frightening, exciting, magical, melancholic, adventurous, or sexual. The events in dreams are generally outside the control of the dreamer, with the exception of lucid dreaming, where the dreamer is self-aware.[7]

Learning better together the background of various Machine Learning topics, their applications, the problems faced in diversified industry use-cases and the work-arounds. Usually, one topic is designated at a time, it may follow a book such as the classical Elements of Statistical Learning book written by the 2 famous Stanford professors Hastie & Tibshirani. Anyone can be up for presenting in the session as long as he/she is prepared and ready, maximum 2 speakers each session, at the end, Q&A as well as panel discussions and everybody votes for the best presenter and chips in 2 bucks to be an assembled prize for the winner. We will pick the majority vote on the interested topics for the following meet-up and pick the people from the 2nd question that can speak on it.

You may have heard the news lately from Guangzhou, China about the firing of robots as waitstaff. Out of three restaurants that used robots to serve customers, two have closed and the third fired its robot workers. The robots couldn't effectively handle soup dishes, often malfunctioned, and had to follow a fixed route that sometimes resulted in clashes. A customer also claimed that robots were unable to do tasks such as topping up water or placing a dish on the table. "The robots weren't able to carry soup or other food steady and they would frequently break down. The boss has decided never to use them again," said one employee.

The premise is simple: Correspondents, editors and producers from our newsroom share the pieces that have kept them reading, using the #NPRreads hashtag. Each weekend, we highlight some of the best stories. The irony was irresistible: The same week NPR went to Greenland to look at high suicide rates, The New York Times Magazine went to Greenland's neighbor, Iceland -- but for a story on high rates of happiness and how that contentedness is partly powered by the country's vulcanic geology. Iceland came in second on a list of world's happiest countries, despite its arctic weather. It has no public plazas or pubs, but it does have public pools, heated geothermically to hot-tub temperatures.