The world's oceans are under heat stress, with average sea surface temperatures hitting 21 C, surpassing the record highs of 2023 and 2024. They're expected to rise further as El Niño, a natural climate pattern that warms the tropical Pacific for months, develops. How AI is being weaponised against India's Muslim women

Gojek co-founder and former Education Minister Nadiem Makarim has been sentenced to 10 years in prison after being convicted of corruption. Makarim, a former billionaire and symbol of Indonesia's tech boom, says the verdict is politically motivated and plans to appeal. Why is MAGA in meltdown over the Supreme Court birthright ruling? Supreme Court's divided ruling on birthright citizenship may be revisited Iran says it couldn't export a'single barrel of oil' during US blockade Mexican fans keep Ecuador's team awake before World Cup showdown

Game Theory: Why did Africa boycott the 1966 World Cup? Game Theory Why did Africa boycott the 1966 World Cup? A record 10 African teams are competing at the 2026 World Cup. But 60 years ago, not one African nation played in the 1966 World Cup. Al Jazeera's Samantha Johnson looks at the 1966 boycott that helped reshape the tournament for generations to come. Why are World Cup tickets so expensive?

Apple CEO warns price rises'unavoidable' amid AI boom The prices of Apple products will have to increase due to the new demand for memory chips from the artificial intelligence boom, outgoing Apple CEO Tim Cook has told The Wall Street Journal. "Unfortunately, price increases are unavoidable," he told the newspaper on Wednesday, adding that his company has been "trying to shield customers from the increases" but that it had become "unsustainable." It is also unclear, for instance, how much the price of Apple's iPhone 18, which is expected to launch in September, will be affected. "There's less supply at a time when consumers want devices and the memory guys are passing along huge price increases," Cook said. Citing an estimate from research firm TechInsights, the Journal reported that Apple would need to increase the price of its iPhone Pro model by $270 to maintain its current profit margin .

Why do AI models struggle with online hate speech detection? Hate speech that once circulated in person now travels farther and faster via anonymous online accounts behind a screen. As the United Nations marks the International Day for Countering Hate Speech on June 18, UN Secretary-General Antonio Guterres has warned that social platforms are amplifying the threat. With artificial intelligence (AI) increasingly tasked with detecting and removing hate speech online, Al Jazeera looks at where these systems fall short compared with human judgement. How is hate speech defined?

FIFA's discrimination monitor at the World Cup has called for a VAR official to be removed for appearing to make a hand gesture resembling a white supremacist sign. When the official broadcast of Germany's opening game against Curacao on Sunday cut pre-game to show the team of video review analysts, Shaun Evans from Australia made an "OK" symbol with his right hand in front of his right leg. Though the game was played in Houston, video officials work in Dallas at the World Cup broadcast centre. "Advice from our experts is that the gesture used clearly resembles an upside down'OK' hand symbol used as a'white power' symbol in global far-right circles," the Fare network, a long-time partner of FIFA and European football body UEFA to monitor racist and discriminatory chants, flags and symbols at international games, said in a statement. "Clearly this official should have no further role to play in this World Cup," Fare said in a statement, describing the gesture as "neo-Nazi".

We asked four AI models to predict the winner of the 2026 FIFA World Cup. This is what Grok, ChatGPT, Claude, and Gemini had to say. Australian man charged with murder after Thai girl's body found in suitcase

Recent weeks have seen a significant escalation of military tensions in and around the Baltics. Lithuania, Latvia and Estonia, which are all NATO members, now experience regular incursions into their airspace by Ukrainian drones. According to both Kyiv and the Baltic capitals, those drones, en route to hit targets in western Russia, get diverted by Russian electronic jamming and end up entering these countries' territories. In early May, several stray unmanned aircraft crashed in Latvia, one of them damaging an oil storage facility. Those developments triggered a political crisis in Latvia and led to the collapse of its government.

Background Childhood Anemia affects an estimated 40% of children aged 6-59 months globally and arises from heterogeneous nutritional, infectious, and socioeconomic factors that vary substantially across settings. This variability challenges the generalizability of predictive machine learning models, which often degrade under cross-population or temporal shifts. We investigated the utility a modern transformer-based tabular foundation model (TabPFN) as a complementatry framework with respect to supervised classical machine learning methods across diverse country contexts, with particular attention to data-scarce settings where surveillance capacity is most limited. Methods We conducted a multi-country prediction study using Demographic and Health Surveys (DHS) children's recode data from 16 countries spanning Africa, Asia, Latin America, the Caucasus, and the Middle East. The harmonized analytic cohort comprised of (n = 68,856)children aged 6-59 months with valid hemoglobin measurements. Anemia was defined using WHO age and altitude-adjusted thresholds and treated as a binary outcome. We trained Logistic Regression, XGBoost, and LightGBM models using standard supervised learning, and evaluated TabPFN v2.6 in an in-context learning setting. Performance was assessed using Area Under the Receiver Operating Characteristic Curve (AUC-ROC) and other standard classification metrics, with calibration evaluated via Brier score and expected calibration error (ECE). Uncertainty in performance estimates was quantified using bootstrap resampling to derive 95% confidence intervals. Robustness was assessed in a few-shot learning setting. Cross-population generalization was examined using leave-one-country-out (LOCO) validation and reverse-LOCO experiments to assess directional transferability. Subgroup analyses were conducted across five demographic strata: child age group, sex, maternal education, residence type, and household wealth quintile. Feature importance was assessed using standard linear and tree-based explainer SHAP values for the three supervised models and an adapted version of SHAP for TabPFN, aggregated across countries and examined at the country level. TabPFN also yielded the best probabilistic calibration across all 16 countries, achieving the lowest mean Brier score (0.203) and Expected Calibration Error (ECE = 0.042) of all models evaluated; LightGBM and Logistic Regression exhibited the greatest miscalibration, particularly at higher predicted probabilities. Under full-data conditions, within-country discrimination was moderate across all models (AUC-ROC 0.59-0.76) Under LOCO validation, performance declined modestly (AUC-ROC 0.58-0.69) Reverse-LOCO analyses revealed asymmetric and directional transferability, with epidemiologically diverse populations serving as more informative training sources and certain target populations remaining persistently difficult to predict regardless of model or training data.

Latvia's Prime Minister Evika Silina resigned following criticism of her government's handling of stray drones, believed to be Ukrainian, crossing into Latvian territory. The controversy deepened divisions within the ruling coalition, causing it to lose its parliamentary majority. Trump, Xi speak ahead of talks to make relations'better than ever'