Devastating impact of Minneapolis shooting on Trump is worse than expected: Poll reveals America's crushing verdict... and what he must do next Bodies are STILL in wreckage of private jet that crashed in Maine on Sunday, killing six including powerful lawyer's attorney wife School principal accused of shoplifting from Walmart using'stacking' method at self-checkout Melania's shock role in Trump's showdown with Kristi Noem revealed: MARK HALPERIN's fly-on-wall account of Oval Office meeting... and who is ACTUALLY taking the fall for Alex Pretti shooting I was barely eating but kept gaining weight. Then I discovered the'taboo' cancer doctors NEVER talk about. Now sex will never be the same... don't ignore these signs Harper Beckham, 14, puts on a stylish display in a fluffy coat and vintage Chanel bag in Paris with her family - after Nicola Peltz's heartbreaking comments about sister-in-law Devastating truth about Blind Side actor Quinton Aaron: More to this'than everyone is letting on', friends reveal... as co-star Sandra Bullock'monitors' situation The wild truth about my influencer sons, their psycho dad and how lawsuits nearly left them bankrupt - by Jake and Logan Paul's MOM Trump knifes'little Napoleon' Border Patrol commander over Minnesota mayhem as he declares: 'We'll de-escalate' Lost tomb of the mysterious'cloud people' unearthed after 1,400 years in'discovery of the decade' Yet another reason to use the air fryer! If you're cooking this evening, a new study may encourage you to reach for the air fryer . Researchers from the University of Birmingham say that cooking even very fatty food in an air fryer produces far fewer air-pollution particles than other forms of frying.

Maciej Ceg?owski's (previously) speech at the Library of Congress, "Deep-Fried Data," describes the way that data begs to be analyzed and how machine learning is like a deep-fat fryer -- a fryer makes anything you put in it "kind of" delicious, and machine learning "kind of" finds insights in your data-set. But unless you know what your food is being fried in, you have no idea what's actually happening to it. And unless you know what data is used to train your machine-learning system, you can't know if it's finding real insight or just serving as a "money-laundry for bias." Ceg?owski does a great job on the structural limits and seductive appeal of machine learning, but then moves on to how archivists and librarian can use large data-sets, and the weird problems of providing data to strangers who use it in ways you may find disturbing or frivolous, or just inexplicable. From here, Ceg?owski talks about where data-sets to analyze can come from -- whether you can work with companies addicted to the surveillance business-model and keep your ethics intact -- and what good archiving practice should be in an era of dynamic documents served to rapidly obsoleted technologies.