Supreme Court transgender athletes case could reverse Title IX protections by 50 years, Jennifer Sey argues. The justices review Idaho and West Virginia laws affecting girls' sports.

Entitled son, 21, of top lawyer mows down police with his Mercedes G-Wagen...as he smiles in his mugshot Tupac's humiliating intimate disfigurement revealed... and how his lies to cover it up led to his murder Trump'humiliates' speaker Mike Johnson in private conversation as government shutdown rumbles on'I'm Madeline - and this is what I have to say to Lily Allen': Read world exclusive reveal of mother who had affair with star's husband David Harbour, how it started and how she feels about THOSE texts being exposed Loved up Katy Perry holds hands with Justin Trudeau as they officially confirm romance while celebrating the singer's birthday in Paris Furrow-browed boyfriend'strangled girlfriend and set her house on fire while newborn baby was inside' I've uncovered my husband's filthy Viagra habit: But, warns DEAR JANE, one thing YOU are doing is making it so much worse I've started having heart palpitations. Jackie Kennedy's revenge romance with American political icon: Revealed for first time in titillating love letters, the man who helped her cope with JFK's cheating The night that haunted a Wisconsin town forever... and the little girl whose trick-or-treat next door ended in horror Why going gray may save you from CANCER... as scientists make bombshell breakthrough Brazen demands for flying private REVEALED by the woman paid to fulfill them: 'Answer is always yes' They sneered at Trump's'eagle graveyards' - but now Biden's hated windmills crippling an American legend are haunting the US military Kim Kardashian's just been caught in a despicable lie. She can cry all she wants... there's no hiding the truth now: CAROLINE BULLOCK Tua Tagovailoa's swollen eye sparks concern after Dolphins QB woke up with mystery illness on day of Falcons game JD Vance's wife is given secret role in Trump's deal-making inner circle: 'I'll have Usha look at it' The Biden blunder that allowed an alleged October 7 'monster' to become a restaurant worker in Louisiana How I reversed my hair loss and lost 8 stone aged 45 - without weight-loss jabs. A growing network of at least 5,000 data centers across the US is becoming a hidden public health threat, scientists have warned. That is because the energy-hungry backbone of artificial intelligence pumps out dangerous pollutants that can cause asthma, cancer and even death.

As confidence in the C.D.C. wanes, states are asserting more control over their vaccine policies, creating a fragmented public-health system. Last week, former officials from the Centers for Disease Control and Prevention warned members of Congress that Robert F. Kennedy, Jr., the Secretary of Health and Human Services, was endangering the nation's welfare by dismissing evidence and expertise in favor of his own vaccine skepticism. Kennedy "censored C.D.C. science, politicized its processes, and stripped leaders of independence," Debra Houry, the agency's former chief medical officer, said in a hearing this past Wednesday. The following day, the Advisory Committee on Immunization Practices ()--the scientific panel that influences U.S. vaccine policy more than any other body--began a chaotic and contentious two-day meeting about updating the country's vaccination recommendations. The committee's members had been handpicked by Kennedy, some of them joining just days before. Several of's decisions, which were announced last week, will have limited practical impact.

But can the struggling industry make a comeback? EXCLUSIVE: The House Energy and Commerce Committee is set to revive the National Coal Council and "reinvigorate America's beautiful clean coal industry," as President Donald Trump put it. Committee Chairman Brett Guthrie, R-Ky., told Fox News Digital the National Coal Council legislation will successfully pass out of his committee Wednesday and have a good chance of passing the full House. Michael Rulli, R-Ohio, and Riley Moore, R-W.V., are leading the legislation to reestablish the council, effectively canceled by former President Joe Biden, and support the clean coal industry for a multitude of reasons, including energy security at a time of Middle East uncertainty. Rulli told Fox News Digital the Biden administration's endeavors against the council and the coal industry writ-large were a "deliberate" effort to "wipe out coal, kill jobs, and make America dependent on foreign energy."

West Virginia Gov. Patrick Morrisey tells Fox News Digital he is excited about opportunities to advance American energy dominance and beat China in AI. EXCLUSIVE: 'King Coal' still reigns as one of the most affordable, reliable and transportable sources of energy – and the U.S. still has a lot of it, West Virginia Gov. Patrick Morrisey told Fox News Digital in an interview at the National Governors Association's winter meeting. Morrisey acknowledged America's ongoing race with China to be the most powerful nation in terms of both energy development and AI technology. West Virginia, he said Saturday, seeks to lead the way. "I'm still very hopeful that there's a future for coal," Morrisey said.

Fox News correspondent Alexandria Hoff reports on the impact that presidential candidate RFK Jr., could have on the 2024 race on'Special Report.' Republicans are hammering independent presidential candidate Robert F. Kennedy Jr. over a resurfaced video where he says individuals in red states are more likely to commit heinous crimes and "murder you." In a resurfaced video, posted by former President Donald Trump's MAGA War Room X account Wednesday, RFK Jr. is seen making the disparaging comments about Republicans at a 2005 IdeaCity speech. "Red state people are more likely to murder you, to impregnate your teenage daughter, to commit a violent crime against you, to commit a nonviolent crime against you, to watch Desperate Housewives on TV, to buy pornography, to buy degenerate video games like'Grand Theft Auto,'" RFK Jr. told a crowd. Social media users, including several Republican members of congress, immediately hit back at what they called "divisive attacks."

Large Language Models (LLMs) have recently demonstrated exceptional performance in various Natural Language Processing (NLP) tasks. They have also shown the ability to perform chain-of-thought (CoT) reasoning to solve complex problems. Recent studies have explored CoT reasoning in complex multimodal scenarios, such as the science question answering task, by fine-tuning multimodal models with high-quality human-annotated CoT rationales. However, collecting high-quality COT rationales is usually time-consuming and costly. Besides, the annotated rationales are hardly accurate due to the external essential information missed. To address these issues, we propose a novel method termed T-SciQ that aims at teaching science question answering with LLM signals. The T-SciQ approach generates high-quality CoT rationales as teaching signals and is advanced to train much smaller models to perform CoT reasoning in complex modalities. Additionally, we introduce a novel data mixing strategy to produce more effective teaching data samples for simple and complex science question answer problems. Extensive experimental results show that our T-SciQ method achieves a new state-of-the-art performance on the ScienceQA benchmark, with an accuracy of 96.18%. Moreover, our approach outperforms the most powerful fine-tuned baseline by 4.5%. The code is publicly available at https://github.com/T-SciQ/T-SciQ.

Prediction models can perform poorly when deployed to target distributions different from the training distribution. To understand these operational failure modes, we develop a method, called DIstribution Shift DEcomposition (DISDE), to attribute a drop in performance to different types of distribution shifts. Our approach decomposes the performance drop into terms for 1) an increase in harder but frequently seen examples from training, 2) changes in the relationship between features and outcomes, and 3) poor performance on examples infrequent or unseen during training. These terms are defined by fixing a distribution on $X$ while varying the conditional distribution of $Y \mid X$ between training and target, or by fixing the conditional distribution of $Y \mid X$ while varying the distribution on $X$. In order to do this, we define a hypothetical distribution on $X$ consisting of values common in both training and target, over which it is easy to compare $Y \mid X$ and thus predictive performance. We estimate performance on this hypothetical distribution via reweighting methods. Empirically, we show how our method can 1) inform potential modeling improvements across distribution shifts for employment prediction on tabular census data, and 2) help to explain why certain domain adaptation methods fail to improve model performance for satellite image classification.

This paper tackles the task of legal extractive summarization using a dataset of 430K U.S. court opinions with key passages annotated. According to automated summary quality metrics, the reinforcement-learning-based MemSum model is best and even out-performs transformer-based models. In turn, expert human evaluation shows that MemSum summaries effectively capture the key points of lengthy court opinions. Motivated by these results, we open-source our models to the general public. This represents progress towards democratizing law and making U.S. court opinions more accessible to the general public.

The Robert C. Byrd Green Bank Telescope in West Virginia is one of several helping to search for alien civilizations.Credit: Jim West/Alamy From the hills of West Virginia to the flats of rural Australia, some of the world's largest telescopes are listening for signals from distant alien civilizations. The search for extraterrestrial intelligence, known as SETI, is an effort to find artificial-looking electromagnetic radiation that might have come from a technologically advanced civilization in a far-away solar system. A study published today1 describes one of several efforts to use machine learning, a subset of artificial intelligence (AI), to help astronomers sift quickly through the reams of data such searches yield. As AI reshapes many scientific fields, what promise does it hold for the search for life beyond Earth? "It is a new era for SETI research that is opening up thanks to machine learning technology," says Franck Marchis, a planetary astronomer at the SETI Institute in Mountain View, California.