Tesla founder Elon Musk believes he can rebuild Puerto Rico's power grid. Tesla CEO Elon Musk speaks during a news conference at the Adelaide Oval in Adelaide, Australia on July 7, 2017. Tesla will partner with French renewable energy developer Neoen to build the world's biggest Lithium IIon Battery, a 100MW battery that will be built in James Town, the South Australian government announced on the day. SAN FRANCISCO -- Elon Musk has so many irons in the fire, you can't see the fire. The Tesla and SpaceX CEO tweeted Friday that he is delaying the unveiling of a self-driving truck in order to focus his attention on smoothing out Model 3 production issues and helping devastated Puerto Rico switch over to solar power. "Tesla Semi unveil now Nov 16," Musk tweeted, pushing it back around three weeks from the original Oct. 26 event.

Real-world complex networks describe connections between objects; in reality, those objects are often endowed with some kind of features. How does the presence or absence of such features interplay with the network link structure? Although the situation here described is truly ubiquitous, there is a limited body of research dealing with large graphs of this kind. Many previous works considered homophily as the only possible transmission mechanism translating node features into links. Other authors, instead, developed more sophisticated models, that are able to handle complex feature interactions, but are unfit to scale to very large networks. We expand on the MGJ model, where interactions between pairs of features can foster or discourage link formation. In this work, we will investigate how to estimate the latent feature-feature interactions in this model. We shall propose two solutions: the first one assumes feature independence and it is essentially based on Naive Bayes; the second one, which relaxes the independence assumption assumption, is based on perceptrons. In fact, we show it is possible to cast the model equation in order to see it as the prediction rule of a perceptron. We analyze how classical results for the perceptrons can be interpreted in this context; then, we define a fast and simple perceptron-like algorithm for this task, which can process $10^8$ links in minutes. We then compare these two techniques, first with synthetic datasets that follows our model, gaining evidence that the Naive independence assumptions are detrimental in practice. Secondly, we consider a real, large-scale citation network where each node (i.e., paper) can be described by different types of characteristics; there, our algorithm can assess how well each set of features can explain the links, and thus finding meaningful latent feature-feature interactions.

After an intense two-day search, local military forces Friday recovered the body of a U.S. Army commando who was inadvertently left behind after a daylight ambush by militants killed three other Green Berets in a rugged border region in Niger. Pentagon officials had not previously announced that a Green Beret was missing in action after the surprise attack on a joint patrol of U.S. commandos and Nigerien troops Wednesday. Six of the 12 Americans on the patrol were killed or wounded. Officials hoped the missing U.S. Army Special Forces operative might still be hiding in the dense brush, rather than taken captive, and launched a massive search-and-rescue mission with aerial drones and other aircraft, as well as Nigerien ground forces. The death of four Green Berets in remote West Africa marks the worst single loss of U.S. forces under fire since President Trump took office.

One of the biggest problems we face today is the impact we're having on the natural world. Covering 70% of our planet we still know so little about our oceans and how we can protect them from further destruction. We can see the devastation around us like deforestation and mass urbanisation etc., but the destruction of the oceans is so easily ignored as it remains largely unseen beneath the waves. It's so vital to keep our oceans healthy; they are home to millions of species of plant and animal, provide food, financial resources, and even produce half of the oxygen we breathe. Climate change and coral bleaching, pollution, and over fishing are just a few issues that need urgent attention in order to save our oceans.

Can artificial intelligence put a stop to fake content? CNBC's Josh Lipton reports the latest on tech giants again front and center following the shooting in Las Vegas for potentially facilitating fake news. Can artificial intelligence put a stop to fake content? CNBC Health insurer drops OxyContin coverage to fight opioid crisis Newsy Elon Musk says Tesla can rebuild the Puerto Rico's power grid CNBC Is a big market correction coming? Fox Business Nintendo to make more switches Wochit Tech Inside the last Concorde to fly BBC News There are 50,000 more gun shops than McDonald's in the US Wochit News Apparently'love' is not an FDA-approved ingredient Veuer Netflix's prices are inching upward again Wochit Business Meet the Mexicans working the jobs Americans don't want The Washington Post What to do if your Yahoo account was one of the 3 billion hacked Business Insider Americans who love eating salmon may be funding North Korea's nukes Veuer Trump's prototype Mexico walls appear BBC News New details about Las Vegas shooter's finances CNN This $28 million Dallas mansion has a haunted water park CNBC Solar energy keeps Puerto Rican greenhouse running Reuters America Cars increasingly crammed with distracting tech Associated Press Sofia Vergara shares how she makes business decisions Entrepreneur Is the tech stock rally justified?

Everyday, we are inching closer to some kind of artificial intelligence. Advances in big data, machine learning and robotics are all poised to give us a world in which computers are effectively intelligent in terms of how we deal with them. Should you be scared by this proposition? Based on a lecture I just attended, my answer is: "absolutely, but not in the usual'robot overlords' kind of way." Instead, the real fear should be about getting human beings wrong, not getting AI right. The lecture I attended was given by Rana el Kaliouby.

The Trump administration officially issued a new rule Friday that weakens the Affordable Care Act's mandate requiring employers to provide free birth control as part of health insurance plans. The final rule resembles a draft that was leaked back in May. It vastly expands the types of employers that can opt out of birth control coverage and eliminates some of the hoops those employers have had to jump through to do so. "With this rule in place, any employer could decide that their employees no longer have health insurance coverage for birth control," Cecile Richards, president of the Planned Parenthood Federation of America, said in an emailed statement. "The Trump administration just took direct aim at birth control coverage for 62 million women." Under the Obamacare provision, some employers with religious affiliations could opt out of the birth control mandate, citing their religious beliefs.

Boeing has announced that it's buying Aurora Flight Sciences, a company that is developing autonomous flying vehicles. Aurora's strengths are in creating aircraft that take off and land vertically, and is looking to eliminate pilots from the equation entirely. The company has been working on such technology for the better part of three decades, and also worked with Uber on its own flying taxi project. Aurora's main business is in advancing the world of military aircraft, and has won several contracts from NASA and DARPA. Most famously, the company won funding to build phase two of the VTOL X-Plane -- beating out both Boeing and Lockheed Martin. The VTOL X-Plane (codenamed LightningStrike) promises to achieve top flight speeds of up to 400 knots with a more efficient hover and lift-to-drag ratio.

Michigan's struggles have played out on the world's stage. Just after the turn of the century began what's referred to as the state's lost decade, the economy faltered, oil prices skyrocketed and the housing market crashed. Nearly a million jobs left the state between 2000 and 2013, many of them in manufacturing and the automotive industry. For a state of just under 10 million people, the impact was devastating: Unemployment was higher than the national average by more than four percent. Bailouts for Chrysler and General Motors were followed by Detroit's record-setting municipal bankruptcy, but through grit and determination, Michigan started clawing its way back from the brink. Now multimillion-dollar investments in the city from tech titans like Amazon, Facebook and LG make headlines with startling frequency, and a host of tech startups have begun to fill the gaps left by plant closures. On the state's west side lies Grand Rapids, where 20 percent of the area's residents are employed in manufacturing jobs, twice the national average, according to a recent report from the Los Angeles Times. About $30,000 per year -- enough for a single person but hardly enough to raise a family. A recent wage survey found machinists in the region averaged $41,710 per year, around half that of software and application developers. Where humans were once doing the physical labor themselves, they're now supervising several machines at a time or operating as quality control. As time goes on, more areas of low-skill labor will be taken over by artificial intelligence, machine learning and automation in what's being labeled the fourth industrial revolution. "When you walk through a plant, there are going to be very few humans on the floor, but there's going to be hundreds of people that are high-tech [trained], maintaining all those systems, because they're not stupid systems that are just stamping out metal parts," said Tom Kelly, executive director of the Michigan-based nonprofit Automation Alley.

It's such a simple question Rachael (Sean Young) asks Rick Deckard (Harrison Ford) in Ridley Scott's 1982 film Blade Runner: "Have you ever retired a human by mistake?" They've just met in Eldon Tyrell's opulent offices, and Deckard, a replicant bounty hunter, has come to interview Rachael as a means of testing the LAPD's replicant-detecting Voight-Kampff device. Deckard's equally simple response-- "no"--comes without hesitation; he nonchalantly shrugs it off as though he's never bothered questioning the supposed difference between humans and the androids he's contracted to kill. The entire exchange takes about five seconds, yet it encapsulates everything that has fueled the public's decades-long love affair with Blade Runner's existential dread: What are humans? What myths do they take for granted? What have they been missing?