Urban air quality forecasting is challenging because pollutant concentrations are nonlinear, nonstationary, spatiotemporally dependent, and often affected by anomalous observations caused by traffic congestion, industrial emissions, and seasonal meteorological variability. This study proposes a Graph Convolutional Support Vector Regression (GCSVR) framework for robust spatiotemporal forecasting of urban air pollution. The model combines graph convolutional learning to capture inter-station spatial dependence with support vector regression to model nonlinear temporal dynamics while reducing sensitivity to outlier observations. The proposed framework is evaluated using air quality records from 37 monitoring stations in Delhi and 18 stations in Mumbai, representing inland and coastal metropolitan environments in India. Forecasting performance is assessed across multiple horizons and compared with established temporal and spatiotemporal benchmarks. The results show that GCSVR consistently improves predictive accuracy and maintains stable performance across seasons and outlier-prone pollution episodes. Statistical test further confirms the reliability of the proposed approach across the two cities. Finally, conformal prediction is integrated with GCSVR to generate calibrated prediction intervals, enhancing its practical value for uncertainty-aware air quality monitoring and public health decision-making.

A top Google scientist warned EU antitrust regulators that its proposal requiring the company to share search engine data with rivals risked exposing users' private information. BRUSSELS - A top Google scientist sent a warning to EU antitrust regulators on Tuesday that its proposal requiring the company to share search engine data with rivals such as OpenAI risked exposing users' private information, the sternest rebuke yet in a tussle over Google's lucrative business model. The European Commission, which acts as the EU competition enforcer, has in recent years cracked down on Big Tech via a slew of legislation to ensure that users have more choices and that smaller rivals have room to compete. However, that has triggered the ire of the U.S. government. Sergei Vassilvitskii, with the title of distinguished scientist at Google since 2012 and regarded a leader in his field, will meet EU antitrust officials on Wednesday to voice his concerns and propose a broader approach with better guardrails.

Ukraine strikes multiple sites in Moscow, following Russia's strikes on a Ukrainian gas production facility that killed at least 5 people. This escalation comes after each side announced a ceasefire - but for different days. West Bengal Chief refuses to resign after'dirty' election Hegseth says US'hasn't capitulated on anything' regarding Iran Smotrich says he promised his son'more destruction' in Lebanon Hegseth says US blockade on Iran'gift to the world'

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Cargo documents appear to show Sightline has shipped its technology to Elbit Systems, an Israeli arms manufacturer that provides drones to the country's military. Cargo documents appear to show Sightline has shipped its technology to Elbit Systems, an Israeli arms manufacturer that provides drones to the country's military. A nti-war activists in Portland, Oregon, are pushing city authorities to ensure no local resources, tax breaks or investments support a local company that appears to be supplying artificial intelligence software to the Israeli military. The company, Sightline Intelligence, manufactures AI-supported video technology that is used in drones to interpret target movements and make quick decisions based on the perceived threat level. Cargo documents appear to show Sightline has shipped its technology to Elbit Systems, an Israeli arms manufacturer that provides drones to that country's military and exports to others.

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russian air attacks kill five at Ukraine's Naftogaz gas facilities At least five people have been killed in Russian air strikes on Ukrainian state-run gas facilities in the Poltava and Kharkiv regions, officials said, a day after Kyiv and Moscow announced unilateral ceasefires to take effect later this week. Three employees and two rescue workers were killed and 37 people were wounded in the overnight missile and drone barrage, Serhiy Koretskyi, the CEO of Ukraine's state energy company Naftogaz said on Tuesday. This was a combined strike involving UAVs (unmanned aerial vehicles) and ballistic missiles," said Koretskyi. He added that the attack cut gas supply to nearly 3,500 customers. Ukrainian President Volodymyr Zelenskyy said Russian authorities had shown "utter cynicism" by announcing a ceasefire and then launching missile and drone attacks on his country. "Russia could cease fire at any moment, and this would stop the war and our responses.

How well do you know Iran? The United Arab Emirates has said its air defences intercepted ballistic and cruise missiles fired from Iran, while a fire was reported at an oil facility in Fujairah after a suspected drone attack. Tehran has not officially commented. Qatar, Jordan, Saudi Arabia and Kuwait, along with the Gulf Cooperation Council (GCC) and the European Union, have condemned the suspected Iranian strike on the UAE. The incident comes as tensions rise, with United States President Donald Trump warning Iran would be "blown off the face of the earth" if US Navy ships are targeted in the Strait of Hormuz.

AI's hottest private companies have booming crypto shadow market Crypto platforms are offering trades tied to the most valuable private artificial intelligence companies on earth -- such as Anthropic -- that ordinary investors have almost no other way to access. The race to sell retail investors a piece of the artificial intelligence boom has gone mainstream -- closed-end funds, interval funds, special-purpose vehicles (SPVs). Now, crypto platforms are offering trades tied to the most valuable private AI companies on earth -- ones ordinary investors have almost no other way to access. The result is a new frontier in the financialization of private markets: crypto infrastructure, once the domain of digital token speculation, being redeployed to give traders a way to bet on Anthropic, OpenAI and SpaceX -- in real time, 24 hours a day, with leverage. Ventuals and PreStocks, two crypto venues riding that shift, have seen their trading activity -- measured by open interest and market value combined -- surge more than threefold since the start of the year to last month.

A blast at a fireworks factory in China's Hunan province has killed 21 people and left 61 wounded, according to state media. The explosion at the Changsha Liuyang Huasheng Fireworks plant happened at around 16:40 local time (08:40 GMT) on Monday, in the city of Liuyang, leading rescuers to evacuate everyone within a 3km (1.9mi) radius of the plant. Authorities deployed nearly 500 personnel to conduct search and rescue operations and treat the injured, while robots were used to help find those trapped within the building. Police, who are investigating the cause of the blast, have taken control measures against the person in charge of the fireworks company, Chinese state media reported. Authorities said that two gunpowder warehouses within the factory area posed a high risk amid rescue efforts, state media reported.

We study high-dimensional LASSO under differential privacy via objective perturbation with heterogeneous covariate scales. In practical scenarios, covariates often exhibit diverse scales; however, standard preprocessing is problematic under privacy constraints, as it consumes additional privacy budget. This heterogeneity induces effective anisotropy in the objective perturbation via the inverse Gram matrix of covariates, which can degrade the stability and accuracy of algorithms. To address this, we propose a Gram-based anisotropic objective perturbation, a ``pre-distortion" strategy that counteracts the distortion from the covariate structure to restore isotropy in the estimation process. Using an Approximate Message Passing (AMP) framework and state evolution analysis, we demonstrate that our proposed perturbation significantly stabilizes convergence and improves both statistical efficiency and privacy performance compared to standard uniform noise injection. Our results provide theoretical insights into designing stable and efficient private estimators without relying on data-dependent preprocessing.