Browns pick Deshaun Watson as their starting QB despite home crowd booing and his '17 away games' comments Why Wyndham Clark deserves PGA Tour Player of the Year, LIV Golf's final hoorah, and Scottie Scheffler's money Sam Burns is one of America's best golfers, but faith, family and the USA matter more to him than golf Donald Trump waves a patriotic green flag and the liberals are furious, Bubba Wallace locks up & 'F-K HIM!' Scottie Scheffler reveals he played through'pretty painful' illness during the BMW Championship Fever coach dismisses Enes Kanter Freedom's women's sports fight as a'social media thing' Harrison Butker's 69-yard field goal demonstrates the NFL's latest big scoring controversy Nationals outfielder does his best Spider-Man impression for one of baseball's best catches of the year US'entering the endgame' with Iran as economy targeted New York City taxpayers could pay twice under Mamdani's grocery plan US announces'Economic D-Day' against Iran Steve Doocy explores the US Air Force Academy's elite military training Dr. Marc Siegel analyzes new study suggesting GLP-1 may slow down aging Humanoid robot beats Usain Bolt's 100m dash record at Beijing games Bessent SENDS WARNING to Iran: 'We are entering the ENDGAME' South Carolina Sen. Darline Graham makes her case ahead of GOP runoff Ali's mind games included stealing a stuffed animal from Jason Hotch's daughter before pinning him for his second reign TNA Wrestling's newest signee Gabby Forza explains to OutKick why she decided to join the company. Mustafa Ali and Jason Hotch went above and beyond to inflict damage on each other during their match at Total Nonstop Action Wrestling's (TNA) Lockdown for the International Championship. Ali and Hotch's feud got personal after Hotch initially dethroned Ali as the international champion. Hotch held the title for a few days before Ali got his revenge at Lockdown. As the match moved beyond the cage, Ali stole a stuffed animal that Hotch's daughter was holding in the stands.

In a place denied access to basic forensic technology--and where people disappear into Israeli detention--the fate of thousands remains unknown. One of them is an autistic teenager. In the early morning dark, Abeer Skaik turned to her husband, Ali Al-Qatta, and said that today would be the day they would find their son. Ali nodded in silence, and she handed him the stack of flyers. Each bore a photograph of 16-year-old Hassan smiling widely, his shoulders loose, wearing a plain red T-shirt. He is looking directly at the camera, unguarded. On top of the page, in large letters, Abeer had written a single word in bold red ink: --an appeal. Abeer watched as Ali stepped into a car with a few close friends and drove away. They started the 30-kilometer trip south, from al-Tuffah, east of Gaza City, to the European Hospital in Khan Younis. They had heard that a group of people detained by Israel, including children, would be released there. The gate was already crowded. Families stood shoulder to shoulder, wrapped in blankets against the cold, clutching photographs and ID cards. Ali distributed the flyers among his friends. When the buses of released detainees arrived, he and the others moved slowly through the narrow gaps between clusters of people. Some of those who had just been released were being pulled into embraces. Ali waited at the edge of each reunion. "Have you seen my son?" he asked. One after another, people shook their heads.

In this work, we propose novel methods to overcome these challenges.

Neural Information Processing Systems http://nips.cc/

GibbsNet is the best of both worlds both in theory and in practice.

Karen Price was just 15 when she vanished in 1981 and, had it not been for a chance discovery by two builders, her body might never have been found. Because no-one was looking for her. Dubbed Little Miss Nobody, Karen had not been seen for eight years when her skeletal remains, wrapped in a carpet, were uncovered by two unsuspecting builders in Cardiff city centre on 7 December 1989. Her body, found in a shallow grave outside a basement flat on Fitzhamon Embankment, was so badly decomposed it was impossible to establish the cause of her death. Now, more than 40 years on and after the release of her killer, a new documentary has examined how police put together the jigsaw to solve the killing of a teenager known to no-one and how it involved groundbreaking methods to bring two men to justice.

Genomic sequence analysis plays a crucial role in various scientific and medical domains. Traditional machine-learning approaches often struggle to capture the complex relationships and hierarchical structures of sequence data when working in high-dimensional Euclidean spaces. This limitation hinders accurate sequence classification and similarity measurement. To address these challenges, this research proposes a method to transform the feature representation of biological sequences into the hyperboloid space. By applying a transformation, the sequences are mapped onto the hyperboloid, preserving their inherent structural information. Once the sequences are represented in the hyperboloid space, a kernel matrix is computed based on the hyperboloid features. The kernel matrix captures the pairwise similarities between sequences, enabling more effective analysis of biological sequence relationships. This approach leverages the inner product of the hyperboloid feature vectors to measure the similarity between pairs of sequences. The experimental evaluation of the proposed approach demonstrates its efficacy in capturing important sequence correlations and improving classification accuracy.

The advancement of open-source text-to-image (T2I) models has been hindered by the absence of large-scale, reasoning-focused datasets and comprehensive evaluation benchmarks, resulting in a performance gap compared to leading closed-source systems. To address this challenge, We introduce FLUX-Reason-6M and PRISM-Bench (Precise and Robust Image Synthesis Measurement Benchmark). FLUX-Reason-6M is a massive dataset consisting of 6 million high-quality FLUX-generated images and 20 million bilingual (English and Chinese) descriptions specifically designed to teach complex reasoning. The image are organized according to six key characteristics: Imagination, Entity, Text rendering, Style, Affection, and Composition, and design explicit Generation Chain-of-Thought (GCoT) to provide detailed breakdowns of image generation steps. The whole data curation takes 15,000 A100 GPU days, providing the community with a resource previously unattainable outside of large industrial labs. PRISM-Bench offers a novel evaluation standard with seven distinct tracks, including a formidable Long Text challenge using GCoT. Through carefully designed prompts, it utilizes advanced vision-language models for nuanced human-aligned assessment of prompt-image alignment and image aesthetics. Our extensive evaluation of 19 leading models on PRISM-Bench reveals critical performance gaps and highlights specific areas requiring improvement. Our dataset, benchmark, and evaluation code are released to catalyze the next wave of reasoning-oriented T2I generation. Project page: https://flux-reason-6m.github.io/ .