Mohammed bin Salman (R) has asked Donald Trump (L) for more military support to counter the Houthis. The U.S.-Iran war has reached crisis point for Saudi Arabia and its de facto leader, Crown Prince Mohammed bin Salman. The kingdom was spared the worst of the Islamic Republic's counterstrikes against the U.S. and Israel early in the conflict, and was even benefiting from higher crude prices as it used a land pipeline to bypass the Strait of Hormuz. That all changed when the Houthis started firing at Saudi Arabia on a near-daily basis this month. The Iran-backed militants have also captured more territory in Yemen, where they are based, tightening their control over Bab el-Mandeb, another vital strait for shipping and energy markets.

For decades, one of Canada's biggest selling points to foreign investors was its access to the world's largest economy next door. Prime Minister Mark Carney is now trying to sell something bigger -- to bet on Canada itself. The invitation-only meeting will bring some of the world's largest pension and sovereign wealth funds and asset managers together with corporate executives, Canadian premiers and federal officials. Carney, a former central banker with deep ties to the global investment world, wants them to put money into everything from mines and pipelines to ports, artificial intelligence and advanced manufacturing. It is part of a much bigger push to catalyse $1 trillion in investment in Canada over the next five years, with about $280bn in public investment and government incentives to help draw in private and institutional capital.

Did Iran capture a US submarine? Iraq has closed some border crossings with Iran while investigating drone attacks on Saudi Arabia's East-West oil pipeline that it confirms were launched from its territory. The Iraqi government temporarily closed three of its crossings into Iran after drone launch sites were discovered in the country, an Iraqi security source told Al Jazeera on Saturday. He said that Iraq had primarily ordered the closure of the crossings over fears that the perpetrators of attacks could flee to Iran. Hewson also said the al-Tayyib border area of the southeastern province of Maysan had been shut after drone launchers were discovered there, and a search operation was under way.

Did Iran capture a US submarine? Saudi Arabia has temporarily closed its critical East-West oil pipeline, a 1,200km (746-mile) conduit stretching across the Arabian Peninsula, after it was attacked by drones on Friday. The drones were reported to have been launched from Iraq, where an investigation is under way. No group has claimed responsibility for the strikes so far. It is understood that equipment used to operate the pipeline was also hit.

Saudi Arabia has closed a critical oil pipeline after it was attacked by drones launched from Iraq, as conflict in the Middle East widens. Iraq said it had fired a military commander and launched an investigation after admitting the drone attack on its neighbour's East-West pipeline had originated in one of its provinces bordering Iran. The 1,200km (745 mile) pipeline has helped Saudi Arabia - the world's largest crude oil exporter - bypass the Strait of Hormuz. The incident comes amid a major advance by the Iranian-backed Houthi rebels in Yemen, putting more pressure on global oil shipping routes as the US-Iran war stretches into its seventh month. Riyadh on Friday said it had shut the pipeline as a precaution, as satellite images of scorched ground and smoke near the site emerged.

Chevron and Williams are big winners in the race to power artificial intelligence as they build out gas-fired power plants and pipelines. It's been a banner year for oil and gas companies. Some of the world's biggest oil giants have announced billions of dollars in quarterly profits over the past two weeks, boosted largely by the soaring price of oil thanks to the conflict in the Middle East. But the artificial intelligence boom is also giving fossil fuel companies a new industry to sell their gas, pipelines, and power plants to: data centers . Two American oil and gas companies, Williams and Chevron, are presenting that demand to investors as a huge win.

Check your subscription status, update your details and more. Drug development must change too. In this New Scientist CoLab podcast, experts from global life sciences leader Cytiva explain the hidden, high-stakes science of purification that is required to close the gap between drug discovery and the pharmacy shelf. Artificial intelligence and big data are flooding discovery pipelines with high-potential drug candidates, but this rapid innovation has created a new challenge. Simply put, our capability to design miracle molecules is vastly outstripping our technology to mass-manufacture them safely for the global public.

Faces synthesized by diffusion models (DMs) with high-quality and controllable attributes pose a significant challenge for Deepfake detection. Most state-of-the-art detectors only yield a binary decision, incapable of forgery localization, attribution of forgery methods, and providing analysis on the cause of forgeries. In this work, we integrate Multimodal Large Language Models (MLLMs) within DMbased face forensics, and propose a fine-grained analysis triad framework called VLForgery, that can 1) predict falsified facial images; 2) locate the falsified face regions subjected to partial synthesis; and 3) attribute the synthesis with specific generators. To achieve the above goals, we introduce VLF (Visual Language Forensics), a novel and diverse synthesis face dataset designed to facilitate rich interactions between'Visual' and'Language' modalities in MLLMs. Additionally, we propose an extrinsic knowledge-guided description method, termed EkCot, which leverages knowledge from the image generation pipeline to enable MLLMs to quickly capture image content. Furthermore, we introduce a low-level vision comparison pipeline designed to identify differential features between real and fake that MLLMs can inherently understand. These features are then incorporated into EkCot, enhancing its ability to analyze forgeries in a structured manner, following the sequence of detection, localization, and attribution. Extensive experiments demonstrate that VLForgery outperforms other state-of-the-art forensic approaches in detection accuracy, with additional potential for falsified region localization and attribution analysis.

We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconstructs scenes that visually resemble reality but also supports key features essential for graphics pipelines--such as object individuality, articulation, high-quality physically based rendering materials. At its core, LiteReality first performs scene understanding and parses the results into a coherent 3D layout and objects, with the help of a structured scene graph.

This paper proposes a novel scene understanding task called Visual Jenga. Drawing inspiration from the game Jenga, the proposed task involves progressively removing objects from a single image until only the background remains. Just as Jenga players must understand structural dependencies to maintain tower stability, our task reveals the intrinsic relationships between scene elements by systematically exploring which objects can be removed while preserving scene coherence in both physical and geometric sense. As a starting point for tackling the Visual Jenga task, we propose a simple, data-driven, training-free approach that is surprisingly effective on a range of real-world images. The principle behind our approach is to utilize the asymmetry in the pairwise relationships between objects within a scene and employ a large inpainting model to generate a set of counterfactuals to quantify the asymmetry.