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DAN GAINOR: Leftist MSNBC changes its name, but it's still the same embarrassment

FOX News

MSNBC's "Morning Joe" reacted to the networks upcoming name change, "My Source News Opinion World," or MS NOW, on Monday. But don't shed a tear (not that you would, anyway), it's turning into MS NOW. Or, as the New York Times put it, "Goodbye, MSNBC. The far-left network lost its tie to the newsy term "NBC" and looks more like some feminist retread site. Or, as MSNBC President Rebecca Kutler put it, "While our name will be changing, who we are and what we do will not." So, maybe my viewership assessment is correct. Sure, the ship might have made a career of hitting icebergs, but it's got a new name. The fallout from the change was swift. The Times even took a swipe with the follow-up headline: "MSNBC's Rebrand Invites Bemusement and Ridicule." The name switch reflects marketing nonsense as part of the corporate split. It also eliminates the long-standing comparison to MSDNC. The rationalization for the new name is: "My Source for News, Opinion, and the World." CNBC is going to keep its name, according to the Wall Street Journal, but the initials mean something else โ€“ "Consumer News and Business Channel," another marketing nuance. The new company will include, "NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel" along with a few other properties, including the formerly useful Rotten Tomatoes movie site. Nobody sane wants MSNBC/MS NOW connected in any way to NBC. It's been a corporate embarrassment for years. They're OK with it looking like the rational folks at CNBC are still connected, but the lunacy of MSNBC gets rebranded. It removes the stain for NBC. The more things change, the more they remain the same. This is the same network where they repeatedly compare President Donald Trump to monsters like Hitler and Stalin. Hosts regularly throw around charges of dictatorship like we are living in 1930s Germany โ€“ although somehow they are allowed to say it. Host Tiffany Cross recently claimed the government was grabbing people and "transporting them to concentration camps." And the face of the franchise, MSNBC host Rachel Maddow, told viewers, "We have a consolidating dictatorship in our country." Remember, "Morning Joe" host Joe Scarborough made the most-embarrassing quote of the entire failed Joe Biden presidency: "I've said it for years now, he's cogent.


Great white shark lurking near Northeast vacation spot, drone video shows

FOX News

A great white shark was spotted this week swimming in the area of Scarborough, Maine. A drone video captured a great white shark lurking in the waters of a vacation spot in the Northeast. Police in Scarborough, Maine, which is located just south of Portland, confirmed this week that the shark was spotted off the state's coastline. "On Monday, August 11, 2025, Scarborough's Marine Resource Officer received a report of what appeared to be a large shark near Richmond Island and Scarborough Beach," the town wrote on its Facebook page. "Follow-up observations were conducted, and on Tuesday, August 12, 2025, the Marine Resource Officer obtained drone video footage showing a possible great white shark, estimated to be 10โ€“12 feet in length, off the southern end of Richmond Island in the vicinity of Higgins Beach and Scarborough Beach," it added.


Recently widowed otters find love on dating app

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Even otters are finding love on the Internet. It's becoming more and more common for couples to meet each other through online dating apps, especially during the pandemic. Such services have apparently become so successful at making love connections that even otters are getting set up online.


New technique based on artificial intelligence finds 6,000 new craters on Moon - Republic World

#artificialintelligence

Scientists have mapped 6,000 new craters on the Moon with the help of a newly developed technique based on artificial intelligence (AI). "When it comes to counting craters on the Moon, it's a pretty archaic method," said Mohamad Ali-Dib from the University of Toronto, Scarborough in Canada. "Basically we need to manually look at an image, locate and count the craters and then calculate how large they are based off the size of the image. Here we've developed a technique from artificial intelligence that can automate this entire process that saves significant time and effort," Ali-Dib said. Researchers have tried in the past to develop algorithms that could identify and count lunar craters but when they were used on new, previously unseen patches of craters they tended to perform poorly.


Do you see what I see? Researchers harness brain waves to reconstruct images of what we perceive

#artificialintelligence

A new technique developed by neuroscientists at U of T Scarborough can, for the first time, reconstruct images of what people perceive based on their brain activity gathered by EEG. The technique developed by Dan Nemrodov, a postdoctoral fellow in Assistant Professor Adrian Nestor's lab at U of T Scarborough, is able to digitally reconstruct images seen by test subjects based on electroencephalography (EEG) data. "When we see something, our brain creates a mental percept, which is essentially a mental impression of that thing. We were able to capture this percept using EEG to get a direct illustration of what's happening in the brain during this process," says Nemrodov. For the study, test subjects hooked up to EEG equipment were shown images of faces.


What do Netflix, Google and planetary systems have in common?

#artificialintelligence

Machine learning is a powerful tool used for a variety of tasks in modern life, from fraud detection and sorting spam in Google, to making movie recommendations on Netflix. Now a team of researchers from the University of Toronto Scarborough have developed a novel approach in using it to determine whether planetary systems are stable or not. "Machine learning offers a powerful way to tackle a problem in astrophysics, and that's predicting whether planetary systems are stable," says Dan Tamayo, lead author of the research and a postdoctoral fellow in the Centre for Planetary Science at U of T Scarborough. Machine learning is a form of artificial intelligence that gives computers the ability to learn without having to be constantly programmed for a specific task. The benefit is that it can teach computers to learn and change when exposed to new data, not to mention it's also very efficient.