India vs Pakistan will go ahead at the T20 World Cup, co-hosted by India and Sri Lanka. After a week of uncertainty, quiet talks won out. This wasn't just a fixture under threat, it was a test of power, money and governance in global cricket. AFCON: To walk or not to walk?

LLM Driven text-to-table (T2T) systems often rely on extensive prompt-engineering or iterative event extraction in code-parsable formats, which boosts scores but are computationally expensive and obscure how models actually reason over temporal evolving narratives to summarise key information. We present CMT-Bench, a diagnostic benchmark built from live cricket commentary that requires dynamic table generation across two evolving schemas under a dense, rule-governed policy. CMT-Bench is designed to probe robustness via three semantics-preserving dimensions: (i) extractive-cue ablation to separate extractive shortcuts from state tracking, (ii) temporal prefixing to test long-context stability, and (iii) entity-form perturbations (anonymization, outof-distribution substitutions, role-entangling paraphrases) to assess sensitivity to surface variation. Across diverse long-context stateof-the-art LLMs, we find large drops without extractive summaries, monotonic degradation with input length, and consistent accuracy drop under entity-form changes. Complementary distributional tests confirm significant shifts in numeric error patterns, indicating drift in reasoning rather than mere noise. Our results show that current LLMs are brittle in dynamic Textto-table generation, motivating robustness-first evaluation as a prerequisite for developing efficient and scalable approaches for this task.

This paper presents an automated system for cricket video analysis that leverages deep learning techniques to extract wicket-taking deliveries, detect cricket balls, and model ball trajectories. The system employs the YOLOv8 architecture for pitch and ball detection, combined with optical character recognition (OCR) for scorecard extraction to identify wicket-taking moments. Through comprehensive image preprocessing, including grayscale transformation, power transformation, and morphological operations, the system achieves robust text extraction from video frames. The pitch detection model achieved 99.5% mean Average Precision at 50% IoU (mAP50) with a precision of 0.999, while the ball detection model using transfer learning attained 99.18% mAP50 with 0.968 precision and 0.978 recall. The system enables trajectory modeling on detected pitches, providing data-driven insights for identifying batting weaknesses. Experimental results on multiple cricket match videos demonstrate the effectiveness of this approach for automated cricket analytics, offering significant potential for coaching and strategic decision-making.

'Where on earth do they go from here?' - England's wicket woe This content is not available in your location. England are in big trouble as they lose their first six wickets for just 57 runs against Pakistan at the Women's Cricket World Cup. 'Where on earth do they go from here?' - England's wicket woe. Video, 00:02:11 'Where on earth do they go from here?' - England's wicket woe'The learning curve was too much' - why Callahan was fired by Titans. Video, 00:01:36 'The learning curve was too much' - why Callahan was fired by Titans How to go from backup quarterback to Super Bowl glory.

This content is not available in your location. England's Tammy Beaumont and Amy Jones are bowled by Pakistan's Diana Baig and Fatima Sana in the second and third over respectively at the Cricket World Cup. 'The learning curve was too much' - why Callahan was fired by Titans. Video, 00:01:36 'The learning curve was too much' - why Callahan was fired by Titans How to go from backup quarterback to Super Bowl glory. Kirby reflects on first England call-up and'Mini Messi' nickname.

This content is not available in your location. Nadine de Klerk hits 84 off 54 balls as South Africa recover from 81-5 to chase down their target of 252 with seven balls to spare, securing a famous three wicket win against hosts India at the ICC Women's Cricket World Cup. 'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history. Video, 00:04:27 'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history'We've got mountains to do' - Cavallo on homophobia in football. Video, 00:01:58 'We've got mountains to do' - Cavallo on homophobia in football We have already lost too many games - Mahomes.

Boundaries, drops and missed run-out chances - Ghosh's remarkable innings This content is not available in your location. Richa Ghosh's 94 runs off 77 balls, including 15 boundaries, helps save India's innings as they recover from 102-6 to reach 251-8 against South Africa in their ICC Women's Cricket World Cup match. Boundaries, drops and missed run-out chances - Ghosh's remarkable innings. Video, 00:03:29 Boundaries, drops and missed run-out chances - Ghosh's remarkable innings'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history. Video, 00:04:27 'I was asking ChatGPT is this real?' - Fraser & Tulloch on making black history'We've got mountains to do' - Cavallo on homophobia in football.

We introduce MMCRICBENCH-3K, a benchmark for Visual Question Answering (VQA) on cricket scorecards, designed to evaluate large vision-language models (LVLMs) on complex numerical and cross-lingual reasoning over semi-structured tabular images. MMCRICBENCH-3K comprises 1,463 synthetically generated scorecard images from ODI, T20, and Test formats, accompanied by 1,500 English QA pairs. It includes two subsets: MMCRICBENCH-E-1.5K, featuring English scorecards, and MMCRICBENCH-H-1.5K, containing visually similar Hindi scorecards, with all questions and answers kept in English to enable controlled cross-script evaluation. The task demands reasoning over structured numerical data, multi-image context, and implicit domain knowledge. Empirical results show that even state-of-the-art LVLMs, such as GPT-4o and Qwen2.5VL, struggle on the English subset despite it being their primary training language and exhibit a further drop in performance on the Hindi subset. This reveals key limitations in structure-aware visual text understanding, numerical reasoning, and cross-lingual generalization. The dataset is publicly available via Hugging Face at https://huggingface.co/datasets/DIALab/MMCricBench, to promote LVLM research in this direction.

Breakthroughs, discoveries, and DIY tips sent every weekday. Using advanced imaging techniques, an international research team has reconstructed an ancient extinct fish's heart, brain, and fins from an intricately detailed, fingernail-sized fossil fragment. But cartoon lookalikes aside, the creature may help rewrite one of the earliest chapters in animal evolution. Its details are described in a study published on August 6 in Nature. Earth's first fish arrived about half a billion years ago, but not anywhere near the ocean's surface.