A United Nations commission of inquiry says Israel has committed genocide against Palestinians in Gaza. A new report says there are reasonable grounds to conclude that four of the five genocidal acts defined under international law have been carried out since the start of the war with Hamas in 2023: killing members of a group, causing them serious bodily and mental harm, deliberately inflicting conditions calculated to destroy the group, and preventing births. It cites statements by Israeli leaders, and the pattern of conduct by Israeli forces, as evidence of genocidal intent. Israel's foreign ministry said it categorically rejected the report, denouncing it as distorted and false. A spokesperson accused the three experts on the commission of serving as Hamas proxies and relying entirely on Hamas falsehoods, laundered and repeated by others that had already been thoroughly debunked.

Since his release from a Russian prison, Dmytro Khyliuk has barely been off the phone. The Ukrainian journalist was detained by Russian forces in the first days of their full-scale invasion. Three and a half years later he's been released in a prisoner swap, one of eight civilians freed in a surprise move. While Russia and Ukraine have swapped military prisoners of war before, it is very rare for Russia to release Ukrainian civilians. Dmytro has been catching up frantically on all he's missed.

The world's fourth biggest company, Google-owner Alphabet, has announced a new £5bn ($6.8bn) investment in UK artificial intelligence (AI). The money will be used for infrastructure and scientific research over the next two years - the first of several massive US investments being unveiled ahead of US President Donald Trump's state visit. Google's President and Chief Investment Officer Ruth Porat told BBC News in an exclusive interview that there were profound opportunities in the UK for its pioneering work in advanced science. The company will officially open a vast $1bn (£735m) data centre in Waltham Cross, Hertfordshire, with Chancellor Rachel Reeves on Tuesday. The investment will expand this site and also include funding for London-based DeepMind, run by British Nobel Prize winner Sir Demis Hassabis, which deploys AI to revolutionise advanced scientific research.

Is Chicago the violent crime capital of the US? How did India-US relations decline so fast? A Ukrainian drone attack killed two women in the village of Golovchino in Russia's Belgorod region, Russia's state TASS news agency reports. A man who was seriously injured in a Ukrainian drone attack in Russia's Belgorod region in April has died in hospital, TASS reports. TASS also reported that Russian forces shot down 82 Ukrainian drones in a 24-hour period.

Model selection in non-linear models often prioritizes performance metrics over statistical tests, limiting the ability to account for sampling variability. We propose the use of a statistical test to assess the equality of variances in forecasting errors. The test builds upon the classic Morgan-Pitman approach, incorporating enhancements to ensure robustness against data with heavy-tailed distributions or outliers with high variance, plus a strategy to make residuals from machine learning models statistically independent. Through a series of simulations and real-world data applications, we demonstrate the test's effectiveness and practical utility, offering a reliable tool for model evaluation and selection in diverse contexts.

BACKGROUND: Medical large language models (LLMS) have demonstrated remarkable performance in answering medical examinations. However, the extent to which this high performance is transferable to medical questions in Spanish and from a Latin American country remains unexplored. This knowledge is crucial as LLM-based medical applications gain traction in Latin America. AIMS: to build a dataset of questions from medical examinations taken by Peruvian physicians pursuing specialty training; to fine-tune a LLM on this dataset; to evaluate and compare the performance in terms of accuracy between vanilla LLMs and the fine-tuned LLM. METHODS: We curated PeruMedQA, a multiple-choice question-answering (MCQA) datasets containing 8,380 questions spanning 12 medical domains (2018-2025). We selected eight medical LLMs including medgemma-4b-it and medgemma-27b-text-it, and developed zero-shot task-specific prompts to answer the questions appropriately. We employed parameter-efficient fine tuning (PEFT)and low-rant adaptation (LoRA) to fine-tune medgemma-4b-it utilizing all questions except those from 2025 (test set). RESULTS: medgemma-27b-text-it outperformed all other models, achieving a proportion of correct answers exceeding 90% in several instances. LLMs with <10 billion parameters exhibited <60% of correct answers, while some exams yielded results <50%. The fine-tuned version of medgemma-4b-it emerged victorious agains all LLMs with <10 billion parameters and rivaled a LLM with 70 billion parameters across various examinations. CONCLUSIONS: For medical AI application and research that require knowledge bases from Spanish-speaking countries and those exhibiting similar epidemiological profiles to Peru's, interested parties should utilize medgemma-27b-text-it or a fine-tuned version of medgemma-4b-it.

This study explores the integration of Augmented Intelligence (AuI) in Intelligent Tutoring Systems (ITS) to address challenges in Artificial Intelligence in Education (AIED), including teacher involvement, AI reliability, and resource accessibility. We present MathAIde, an ITS that uses computer vision and AI to correct mathematics exercises from student work photos and provide feedback. The system was designed through a collaborative process involving brainstorming with teachers, high-fidelity prototyping, A/B testing, and a real-world case study. Findings emphasize the importance of a teacher-centered, user-driven approach, where AI suggests remediation alternatives while teachers retain decision-making. Results highlight efficiency, usability, and adoption potential in classroom contexts, particularly in resource-limited environments. The study contributes practical insights into designing ITSs that balance user needs and technological feasibility, while advancing AIED research by demonstrating the effectiveness of a mixed-methods, user-centered approach to implementing AuI in educational technologies.

Abstract--This paper presents an agent-based simulation model for coordinating battery recharging in drone swarms, focusing on applications in Internet of Things (IoT) and Industry 4.0 environments. The proposed model includes a detailed description of the simulation methodology, system architecture, and implementation. One practical use case is explored: Smart Farming, highlighting how autonomous coordination strategies can optimize battery usage and mission efficiency in large-scale drone deployments. This work uses a machine learning technique to analyze the agent-based simulation sensitivity analysis output results. Drones have become important tools within the Internet of Things, and can be used in agribusiness, disaster response, logistics, and other usages.

At WIRED's AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society--and where it goes from here. In an increasingly divided world, one thing that everyone seems to agree on is that artificial intelligence is a hugely disruptive--and sometimes downright destructive--phenomenon. At WIRED's AI Power Summit in New York on Monday, leaders from the worlds of tech, politics, and the media came together to discuss how AI is transforming their intertwined worlds. The Summit included voices from the AI industry, a current US senator, a former Trump administration official, and publishers including WIRED's parent company, Condé Nast. You can view a livestream of the event in full below.

The roughly 350-year-old elongated skull is not Incan at all. Breakthroughs, discoveries, and DIY tips sent every weekday. While re-evaluating a centuries' old, elongated skull originally theorized to belong to an Incan "tribal chief," a team of archaeologists in Switzerland came across a startling discovery. The mummified cranium instead likely belonged to a respected member of a separate indigenous community that lived as subjects within the Incan empire. Their findings are published in the and are now helping recontextualize the remains while also addressing the field's longstanding ethical issues.