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#AQuietPlacePart2 – #Movie Trailer w/ Emily Blunt & Produced by #MichaelBay. Following the deadly events at home, the Abbott family (Emily Blunt, Millicent Simmonds, Noah Jupe) must now face the terrors of the outside world as they continue their fight for survival in silence. Forced to venture into the unknown, they quickly realize that the creatures that hunt by sound are not the only threats that lurk beyond the sand path. Starring Emily Blunt, Cillian Murphy, Millicent Simmonds, Noah Jupe, Djimon Hounsou Directed By John Krasinski Produced By Michael Bay, Andrew Form, Brad Fuller, John Krasinski Executive Produced By Allyson Seeger, Joann Perritano, Aaron Janus Watch epicheroes You Tube Channel for the Latest Movie Trailers Exclusive Access to Hollywood Celebrities & Custom Made Video edits. source Comic Book Movies Videos Trailer, Interviews

One of the more memorable segments of last month’s Pokémon Direct was the reveal of a mighty expansion pass for the latest entries, Pokémon Sword and Shield. Rather than a third entry or ‘Ultra’ version, this two-part DLC add-on will allow players to continue to their adventure within the Galar Region and uses the same save data from the base game. How many existing players actually plan to buy and play this expansion pass, though? Over in Japan, Weekly Famitsu ran a survey and published the results inside the latest issue (No. 1630). It turns out 88% of the 900 respondents intend to purchase the DLC. According to Japanese Nintendo, another 10% said they are currently undecided, and the remaining 2% have no intention of buying the expansion pass. The expansion pass, as mentioned, is broken up into two different segments. The Isle of Armor, taking on the form of a giant island filled with beaches, forests, bogs, caves and sand dunes is scheduled to be released by June 2020. The Crown Tundra – a snow-swept realm – will follow, and is expected to launch in Fall 2020. The expansion pass will set Sword and Shield players back £26.99 / $29.99 and can be pre-purchased directly from the Switch eShop right now. Do you plan to buy the expansion pass for Sword and Shield? Have you already purchased it? Tell us below. Source link More Gaming Stories

1. Bart With Muscles Most of the characters on The Simpsons have the same undifferentiated yellow, rubbery body, but sure Bart could probably get swole if he worked at it. Special mention to the confused, slightly horny looking Sideshow Bob in the background. 2. CGI Simpsons Remember that one episode where Homer went into the computer-generated 3D world? This is the Azerbaijani bootleg of that. 3. Linkin Park Duel The two major pairings the Internet loves for Bart Simpson are Sideshow Bob (what’s known as “Bort” in the fandom) and Fry from Futurama. Here’s a piece depicting the two suitors dueling to the strains of Linkin Park 4. Black Veins I can’t do this one justice, so I’m just going to quote from its DeviantArt description: “The scars in Lisa’s heart becomes infected with a plague of trauma. It Eats away at her heart and begins to move through her veins, infecting them with the blackened agony that plagued her heart. Her veins become blackened as her body and soul begins to degrade from the inside out. The infected blood attacks her wings and rots away her freedom. As the sickness reaches her mind, it distorts all of her senses, including her sense of judgement. She is forever changed by the horrid experiences she has had over the 8 years of her life. And no amount of therapy can treat this plague that has taken over our dear Lisa Simpson. (I can be quite dark sometimes, why do you think …

Regina Barzilay’s office at MIT affords a clear view of the Novartis Institutes for Biomedical Research. Amgen’s drug discovery group is a few blocks beyond that. Until recently, Barzilay, one of the world’s leading researchers in artificial intelligence, hadn’t given much thought to these nearby buildings full of chemists and biologists. But as AI and machine learning began to perform ever more impressive feats in image recognition and language comprehension, she began to wonder: could it also transform the task of finding new drugs? This story is part of our March/April 2019 issue See the rest of the issueSubscribe The problem is that human researchers can explore only a tiny slice of what is possible. It’s estimated that there are as many as 1060 potentially drug-like molecules—more than the number of atoms in the solar system. But traversing seemingly unlimited possibilities is what machine learning is good at. Trained on large databases of existing molecules and their properties, the programs can explore all possible related molecules. Drug discovery is a hugely expensive and often frustrating process. Medicinal chemists must guess which compounds might make good medicines, using their knowledge of how a molecule’s structure affects its properties. They synthesize and test countless variants, and most are failures. “Coming up with new molecules is still an art, because you have such a huge space of possibilities,” says Barzilay. “It takes a long time to find good drug candidates.” Sign up for The Algorithm — artificial intelligence, demystified By speeding up this …