As Silicon Valley investors and tech giants continue to pour cash into burgeoning artificial intelligence technologies such as machine learning and chatbots, the relatively nascent A.I. industry is emerging as the latest mega-hot new ticket in town--the heir to online delivery apps, anything-hailing services, and virtual reality start-ups. But much like another buzz-worthy predecessor, Big Data, many A.I. cheerleaders and investment check signatories probably don't quite understand it. But in Silicon Valley, when has that ever stopped anyone? The obsession in the Valley with artificial intelligence is almost palpable. Just last week, Twitter announced its acquisition of London-based machine learning start-up Magic Pony Technology.

As yet another deadly attack on Tuesday tore through Turkey's biggest airport, Mark Cuban is demanding action. The billionaire businessman, appearing on Megyn Kelly's Fox Business show the same night, called for both presumptive presidential candidates to do more than just say'this is bad.' Cuban proposed that the country look to technological innovations for a solution. "How do you deal with immigration? How do you deal with radical Islamic terrorists trying to come into the country? You're going to need to use tech," said Cuban, in a Bloomberg interview earlier this week. Both the Republican and Democrat would-be nominees are technologically illiterate, he said to Bloomberg's Cory Johnson, which is the reason they are blind to technological solutions to the country's biggest issues.

We wish we could say you look good for 60 years old, but real talk: You do not. Sure, you've grown--when President Eisenhower authorized you in 1956, you were just a glimmer of asphalt. Look at you now! Fully 47,662 miles of roads, bridges, ramps, and curves, the meshwork that defined American post-war expansion and exceptionalism. The Department of Transportation estimates that by 2030, you might have an annual 86 billion funding gap--and that's just to keep your flabby highways and bridges functioning. Actually improving the darn things could cost up 150 billion per year.

Decades before Google started outfitting Lexus SUVs with sensors and self-driving software, the driverless car du jour was an otherwise ordinary-looking Pontiac. In the 1920s and 1930s, a driverless car was more commonly known as a "phantom auto," and demonstrations of the technology drew thousands of spectators in cities across the United States. These cars weren't computer-driven, as they are today, but remote controlled. It's not clear from newspaper archives and other written accounts how many were ever in existence, anyway, though we do get a general sense of how they worked: The person operating the car would often follow in a second vehicle some distance behind; or, in at least one case, in a low-flying airplane, according to a 1932 account in the Times Recorder of Zanesville, Ohio. The car, which the newspaper called "one of the most amazing products of modern science," could be operated from as far as five miles away, its inventor said.

It's hard to believe, but one of the most important changes in the way people write in the last 50 years has been largely overlooked by historians of literature. The word processor--that is, any computer software or hardware used for writing, a nearly ubiquitous technology adopted by poets, novelists, graduate students, foreign correspondents, and CEOs--has never gotten its own literary history. Perhaps it was just too much under our noses--or, I suppose, in front of them. Now it finally has one. Five years ago, Matthew Kirschenbaum, an English professor at the University of Maryland, realized that no one seemed to know who wrote the first novel with the help of a word processor.

In June of 1975, the Office of the White House Press Secretary announced President Gerald R. Ford's picks for the National Medal of Science. One went to the Austrian-born mathematician and logician Kurt Gödel. Nicknamed Mr. Why by his parents, Gödel was known to a subset of his constituents as, simply, God. He received fan mail from all over the world, archiving it into files of "autograph requests," "inquiries from students and amateurs," "letters of appreciation," and "crank correspondence." A self-described "dunce fool of Mathematics" in West Bengal wrote seeking Gödel's "Guruship," and a svelte math teacher in California confessed that she'd taken the liberty of enlarging a photo of Gödel to make a poster for her classroom.

Towards making systems forget with machine unlearning.

Microsoft's acquisition of LinkedIn is the largest in giant's history and was hardly expectable[1]. Brilliant analysis of the deal may be found in multiple sources. However, one may suggest that the current narrative is too focused on immediate results and current opportunities rather than the future options for the software giant. A dive into one of the Bill Gates' favorite books may add valuable insights and explain the role of LinkedIn in the Microsoft's push into artificial intelligence (AI). However, the deal of that magnitude deserves to be considered from the perspective of the future.

Microsoft has a birthday present for Windows 10 users: more capabilities for its Cortana digital assistant and new ways to ditch passwords. The company is also changing the notices it sends to users of previous versions, following complaints that it was too aggressive in pushing them to get the free Windows 10 upgrade. Microsoft's "Anniversary Update," scheduled for release Aug. 2, will let users activate Cortana with a spoken command ("Hey Cortana") even while their screen has gone into sleep mode. Cortana will be able to recall more types of information, such as frequent flier numbers or parking locations. Users can also ask Cortana to remember specific photos, such as a wine bottle to buy again later.

Professor Soibelman and his research group at the Sonny Astani Department of Civil and Environmental Engineering will have access to Crunchflow's large metadata database that has anonymous performance information from thousands of projects and employees allocated in professional service organizations. The researchers' mission is to find in this data preliminary patterns and results that help to understand how companies can boost efficiency levels. They also want to demonstrate the potential for extracting knowledge from such a database. Crunchflow's CEO Daniel Knijnik believes that the collaboration will place the company in the forefront of a technology that has the potential to revolutionize how artificial intelligence is applied to business. "We will have top researchers entirely dedicated to innovation, using the latest and most modern technology", he said.