Right now, a potential peril is at hand: the end of truth. The appointment of Bari Weiss, the former opinion writer who started the heterodox website, to lead venerable CBS News set the media world in a tizzy. Since she had no experience in television broadcast news operations, David Ellison, the CEO of Paramount Skydance, must have selected her for ideological and editorial reasons. Weiss had positioned herself as the scourge of supposedly woke and DEI-driven liberal media, presumably a stance that appealed to Ellison, the son of tech billionaire Larry Ellison, a Trump supporter who put up much of the money that financed his son's recent takeover of Paramount. Weiss' first days at the network yielded worrisome signs.

Jim Harbaugh joins Colin Cowherd to discuss the culture he's created with the Los Angeles Chargers, Justin Herbert's mentality and the'dog-eat-dog' chaos of the AFC West. Los Angeles Chargers head coach Jim Harbaugh was added Friday to a lawsuit against his former employer, the University of Michigan, and a former assistant football coach accused of hacking into computer systems to acquire photos of college athletes. Attorneys claim Harbaugh allowed Matt Weiss to continue working as co-offensive coordinator in a national playoff game after Weiss was seen viewing private information on a computer in December 2022. "The university's delay in taking meaningful protective action until after a high-stakes game sends a clear message: Student welfare was secondary," said Parker Stinar, the lead lawyer in a class-action lawsuit arising from a criminal investigation of Weiss. "Had Harbaugh implemented basic oversight of his staff, plaintiffs and the class would have been protected against predators such as Weiss," the updated lawsuit states.

First son Hunter Biden will be sentenced on Nov. 13, the week after the general election, after he was found guilty on charges in the criminal case focused on his purchase of a handgun in 2018. Judge Maryellen Noreika, in a court order Friday, set the sentencing date for Wednesday, Nov. 13, at 10:00 a.m. at the J. Caleb Boggs Federal Building in Wilmington, Delaware. President Biden's son will learn his fate 8 days after the 2020 presidential election. Hunter Biden was found guilty in June of making a false statement in the purchase of a gun, making a false statement related to information required to be kept by a federally licensed gun dealer, and possession of a gun by a person who is an unlawful user of or addicted to a controlled substance. He faces a total maximum prison time of 25 years for the three charges.

Scientists keep taking their own lives, and no one knows why. That's the central mystery at the start of 3 Body Problem, the new Netflix series based on a trilogy of sci-fi novels by Chinese author Cixin Liu. But it soon unfolds into something far grander: There's a mysterious VR video game, flashbacks to revolutionary China, shady billionaires, and strange cults. Liu's novels are beloved in China and have a smaller but similarly dedicated following among English-language readers, but they are hard science fiction--heavy on concept, light on character. More than once in the series, someone resorts to wheeling out a chalkboard to make their point, and there are scenes in the books that seem impossible to film: multidimensional structures collapsing in on themselves, a computer made up of millions of soldiers, nano-wires cutting through steel, diamond, flesh.

Early in "3 Body Problem," the new Netflix adaptation of Liu Cixin's acclaimed science-fiction trilogy, intelligent life from another corner of the universe decides that a spectacle is required to get humanity's attention. On a cloudless night, the stars brighten, then flicker on and off, as if a kid were playing with a light switch, transmitting a series of numbers. Two physicists--one high and thus mesmerized, the other terrified--watch the phenomenon from a Gothic courtyard in Oxford, England. The next day, the stoner, Saul Durand (Jovan Adepo), chalks the experience up to an elaborate hoax; the rest of the world also saw the stars twinkle in code, but the celestial blinks went undetected by Earth's most powerful telescopes. The otherworldly signal may have been a message just for Saul's companion, a nanomaterials researcher named Auggie Salazar (Eiza González) who's had a glowing countdown emblazoned across her field of vision for days.

The shortest path problem in graphs is fundamental to AI. Nearly all variants of the problem and relevant algorithms that solve them ignore edge-weight computation time and its common relation to weight uncertainty. This implies that taking these factors into consideration can potentially lead to a performance boost in relevant applications. Recently, a generalized framework for weighted directed graphs was suggested, where edge-weight can be computed (estimated) multiple times, at increasing accuracy and run-time expense. We build on this framework to introduce the problem of finding the tightest admissible shortest path (TASP); a path with the tightest suboptimality bound on the optimal cost. This is a generalization of the shortest path problem to bounded uncertainty, where edge-weight uncertainty can be traded for computational cost. We present a complete algorithm for solving TASP, with guarantees on solution quality. Empirical evaluation supports the effectiveness of this approach.

Cardiovascular disease is one of the most deadly diseases. Researchers have found a learning model that can easily predict death probability due to atherosclerotic cardiovascular disease. One of the most common deadly diseases is cardiovascular disease. As per the records released by World Health Organization (WHO) it is estimated that this disease took away 17.9 million lives each year. The increasing death rate created curiosity among the researchers to initiate working towards the development of medication for the prevention.

Researchers developed a deep learning model using artificial intelligence(AI) for the current study. The team used a CXR-CVD system that was "trained" to search more than 147,000 chest X-ray images from almost 41,000 participants in a cancer screening trial and spot patterns associated with cardiovascular disease. Once developed, the system could predict a person's 10-year risk of having a stroke or heart attack from a single chest X-ray. Lead study author Jakob Weiss, Ph.D., a radiologist with the Cardiovascular Imaging Research Center at Massachusetts General Hospital and the AI in Medicine program at the Brigham and Women's Hospital in Boston, explained to MNT: "Current guidelines of the American College of Cardiology and American Heart Association on the primary prevention of cardiovascular disease recommend the use of a risk calculator to estimate the risk of future CVD. This risk calculator is based on the ASCVD risk score, a multivariable regression model requiring nine variables as input, such as age, sex, smoking, lipids, blood pressure, and diabetes. However, these variables are often not available, which makes novel and more practical screening approaches desirable."

Artificial intelligence has infiltrated countless industries -- from AI-powered art to language processing. Now, AI technology might have promising potential for the medical world. At the annual meeting of the Radiological Society of North America, researchers shared preliminary findings on the use of artificial intelligence in predicting the 10-year risk of death from a heart attack or stroke -- all with a single chest X-ray. The researchers used about 150,000 chest X-rays to train AI to recognize risk patterns associated with severe cardiovascular events. They then tested the technology on about 11,000 people and found a "significant association" between real-life cardiovascular events and risks predicted by the AI.

I have never lived in Los Angeles, but I have probably spent more time thinking about L.A. than any other city that I haven't resided in. This is partly the fault of Hollywood, of Ice Cube and The White Album, of Curb Your Enthusiasm and Party Down, of the despised Lakers, but it's mostly the fault of Mike Davis. Davis, the historian and urban theorist who died on Tuesday, was probably my favorite writer about cities that I have ever read. He didn't only write about L.A., not by a long shot, but L.A. was his Beatrice, his Dark Lady. Every time I visit Los Angeles Davis' work floods through my brain, often down to specific words, phrases, and sentences.