After days and weeks of gloomy skies and relentless rain for some, there has finally been a change to our weather in the United Kingdom. Arctic air across the UK means the weekend starts cold and frosty with some snow and ice, especially in northern parts. But, there will be lots of sunshine for most throughout Saturday. However, it will be temporary as rain with more snow and ice spreads overnight into Sunday. Further Met Office yellow warnings for ice and snow have been issued across Scotland and northern England from 21:00 GMT to 10:00 on Sunday.

You would be forgiven for thinking the rain this year has been relentless - because in some parts of the UK, it actually has been. Here at BBC Weather we have been watching computer models closely for signs of when that pattern will change. These computer-generated forecasts go out about two weeks into the future - and models have often been hinting at a change to colder and drier weather on that timescale. However, they have then reverted to the familiar wet pattern as we have got closer to the time. Now though, there are stronger signals of a change for some of us - albeit perhaps only a temporary one.

'Ridiculous amount of games' - has Haaland played too much football? The robot is malfunctioning and in need of a reset. Erling Haaland made a blistering start to the season but that prolific run of form has suffered a glitch. Though the Manchester City and Norway striker has scored a remarkable 39 goals in just 36 games for club and country this season, he has hit a sticky patch of form with only one goal in his past eight games. This has coincided with Pep Guardiola's men falling off the pace in the Premier League title race and suffering a monumental shock at Bodo/Glimt in the Champions League.

Over the years, state-of-the-art (SoTA) image captioning methods have achieved promising results on some evaluation metrics (e.g., CIDEr). However, recent findings show that the captions generated by these methods tend to be biased toward the average caption that only captures the most general mode (a.k.a, language pattern) in the training corpus, i.e., the so-called mode collapse problem. Affected by it, the generated captions are limited in diversity and usually less informative than natural image descriptions made by humans. In this paper, we seek to avoid this problem by proposing a Discrete Mode Learning (DML) paradigm for image captioning. Our innovative idea is to explore the rich modes in the training caption corpus to learn a set of mode embeddings, and further use them to control the mode of the generated captions for existing image captioning models. Specifically, the proposed DML optimizes a dual architecture that consists of an image-conditioned discrete variational autoencoder (CdVAE) branch and a mode-conditioned image captioning (MIC) branch.

Pots, quadrants, confederation constraints, group position grids... the 2026 World Cup finals draw on Friday is not going to be a straightforward affair. There's a lot to unpack so we're going to explain it as simply as we can. Luckily, Fifa will have a computer to do most of the heavy lifting and make sure everything runs smoothly. Though as Uefa found out in 2021, sometimes technology does go wrong. Let's hope there will be no gremlins in Washington once the draw ceremony kicks off.

Team GB Olympic and Paralympic athletes are being offered a new form of artificial intelligence-based protection from online abuse. UK Sport, the body that funds Olympic and Paralympic sports, has signed a contract worth more than £300,000 to give thousands of athletes access to an app that detects and hides abusive posts sent by other users on social media. Athletes are able to sign up for free and can protect their accounts throughout the Games cycle up to Los Angeles 2028. The level of abuse our athletes are facing online is unacceptable - to do nothing about this is not an option, UK Sport director of performance Kate Baker said about a deal that is the first of its kind in British sport. The app, called Social Protect, uses AI to try to ensure athletes see as few abusive messages sent their way as possible.

However, we observe significant limitations in the diversity of questions and breadth of subjects covered by these benchmarks.

However, recent findings show that the captions generated by these methods tend to be biased toward the "average" caption that only captures the most general mode ( a.k.a,

VRSBench consists of 29,614 remote sensing images with detailed captions, 52,472 object refers, 123,221 visual question-answer pairs. This section documents the dataset in accordance with best practices to ensure transparency, reproducibility, and ethical usage. Images_val.zip contains all raw images in the validation split. Model Evaluation: The dataset can serve as a benchmark for comparing different vision-language models' performance on a standardized set of tasks. These annotations undergo a manual review by human annotators.