Personal Perspective: "Normal" isn’t perfection but a statistical range based on population data. Diagnoses compare ...
Watch the teaser trailer for Normal, an upcoming movie starring Bob Odenkirk, Henry Winkler and Lena Headey. For Sheriff Ulysses (Odenkirk), his provisional posting to the quaint Midwestern American ...
EXCLUSIVE: Magnolia Pictures will be opening its Toronto Film Festival acquisition Normal on April 17, 2026 in 2,000 theaters, the distributor’s widest release in its 24-year history. Normal, which we ...
The U.S. health care system primarily focuses on treating illnesses rather than preventing them. Many chronic diseases, like heart disease, develop without obvious symptoms until they are advanced. A ...
The TIFF-premiering neo-Western about an interim sheriff who senses something amiss about a small Minnesota town also stars Henry Winkler and Lena Headey. By Michael Rechtshaffen If there was any ...
TIFF: The jokes are a mixed bag, but the action is consistently pummeling in the latest collaboration between Odenkirk and “Nobody” screenwriter Derek Kolstad, directed by “Free Fire” helmer Ben ...
Not to be confused with Nobody or even Nobody 2 which came out just a few weeks ago, Bob Odenkirk already has his next uber action movie on deck. In fact, Normal premiered at midnight to a rowdy crowd ...
Despite the many talents he’s demonstrated over decades of acting and performing, I’m pretty sure that Bob Odenkirk would not actually be able to save a small town in Minnesota if it were to come ...
Opinions about artificial intelligence tend to fall on a wide spectrum. At one extreme is the utopian view that AI will cause runaway economic growth, accelerate scientific research and perhaps make ...
If the EU-mediated dialogue between Kosovo and Serbia is to achieve anything, it will need legitimacy rooted in citizen engagement. The process of normalisation between Kosovo and Serbia has been ...
def forward(self, image): # normalize image here print("param: ", self.mean, self.std) print("before:", image[0,:,100,100]) image = (image - self.mean) / self.std ...
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