Waymo has announced that it's coming to Singapore, thereby expanding its presence in Asia and in regions outside of the US as a whole. Over the coming months, its first Jaguar I-PACE vehicles will be arriving on the island nation as the company prepares for future operations. Throughout 2027, Waymo's specialists will manually drive its vehicles on Singapore's streets to map them, and the company will make changes to its system to account for the country's road geometry and weather patterns. Waymo expects to start offering rides to the Singaporean public in 2028 through its own app. The company started testing its driverless cars in Tokyo in 2025, making the sprawling Japanese metropolis its first international location.

Google has revealed the new features coming to its Pixel devices this month, including an update to VIPs that will make them easier to reach. On Pixel 6 phones and newer, you can now see expanded widget options that you can use to quickly send a text or call your VIPs or favorite contacts straight from the home screen. You'll also get new notification badges where you can see if you've received an urgent message or if you have an unread one from a VIP in a glance. The company is expanding Scam Detection in-app and inside Messages, as well. In the US, UK, Australia, Canada, Singapore, India, Germany, Mexico, Japan and France, Scam Detection can now alert you if it spots potential fraudulent messages across chat apps in your notifications.

A Singaporean man has lost a court case to claw back hundreds of thousands of dollars that he had lavished on his ex-girlfriend while they were together. The S$468,000 ($369,200; £273,260) that Chander Agarwal attempted to recover from Felicia Lee was money he had willingly spent on her, the Singapore High Court ruled. Agarwal displayed a consistent pattern of showering [Lee] with lavish gifts even before they got together and would reassure her that he did not expect repayment, Senior Judge Lee Seiu Kin said. Agarwal, the CEO of a logistics company, met Felicia Lee, a former flight attendant, during a flight in 2019. They were in a romantic relationship from September 2022 to December 2023, the court heard.

Deepfake scams are becoming harder to spot as criminals use AI to impersonate officials and public figures. In Singapore, one victim lost nearly $4m to a deepfake scam, while researchers warn the technology is becoming easier to create.

Indonesian babies were trafficked to Singapore. What happens to them now? To play this video you need to enable JavaScript in your browser. Figure caption, Watch: A baby trafficking ring has been convicted - but what now for the babies? On Tuesday an Indonesian court convicted 19 people for baby trafficking, wrapping up a high-profile case - but leaving a key question unanswered.

Prime Minister Sanae Takaichi meets her Singaporean counterpart Lawrence Wong at a bilateral meeting in Tokyo in March. Singapore - Japan and Singapore have signed a memorandum on cooperation to promote the peaceful use of space. The move came after Japanese Prime Minister Sanae Takaichi and her Singaporean counterpart, Lawrence Wong, agreed at a meeting in Tokyo in March to upgrade the two countries' relations to a strategic partnership, and identified the space sector as a pillar of the partnership. The Japan Aerospace Exploration Agency (JAXA) and the National Space Agency of Singapore signed the memorandum Monday on the sidelines of the Spacetide 2026 international space business conference in Tokyo. The pact is the first bilateral agreement for NSAS.

Swarms of cyborg insects controlled remotely via electrical implants can now operate underwater, thanks to tiny diving suits supplying them with oxygen - which could one day enable them to explore Mars. Hirotaka Sato at Nanyang Technological University in Singapore and his colleagues first demonstrated in 2021 that Madagascar hissing cockroaches () could be remotely controlled with electrodes embedded in sensory organs known as cerci. In 2024, they demonstrated that a swarm of 20 of these cyborg insects could coordinate. The aim was to develop biological robots equipped with infrared sensors that could be released in large numbers after natural disasters to search for survivors. Cockroaches represent a ready-made platform for such applications with a working fuel source, efficient locomotion and in-built reflexes to dodge obstacles - capabilities that engineers still struggle to replicate mechanically at such a small scale.

Multimodal large language models (MLLMs) remain vulnerable to transferable adversarial examples. While existing methods typically achieve targeted attacks by aligning global features--such as CLIP's [CLS] token--between adversarial and target samples, they often overlook the rich local information encoded in patch tokens. This leads to suboptimal alignment and limited transferability, particularly for closed-source models. To address this limitation, we propose a targeted transferable adversarial attack method based on feature optimal alignment, called FOA-Attack, to improve adversarial transfer capability. Specifically, at the global level, we introduce a global feature loss based on cosine similarity to align the coarse-grained features of adversarial samples with those of target samples. At the local level, given the rich local representations within Transformers, we leverage clustering techniques to extract compact local patterns to alleviate redundant local features. We then formulate local feature alignment between adversarial and target samples as an optimal transport (OT) problem and propose a local clustering optimal transport loss to refine fine-grained feature alignment. Additionally, we propose a dynamic ensemble model weighting strategy to adaptively balance the influence of multiple models during adversarial example generation, thereby further improving transferability. Extensive experiments across various models demonstrate the superiority of the proposed method, outperforming state-of-the-art methods, especially in transferring to closed-source MLLMs.

Hemodynamics has a substantial influence on normal cardiovascular growth and disease formation, but requires time-consuming simulations to obtain. Deep Learning algorithms to rapidly predict hemodynamics parameters can be very useful, but their development is hindered by the lack of large dataset on anatomic geometries and associated fluid dynamics. This paper presents a new large-scale dataset of intracranial aneurysm (IA) geometries and hemodynamics to support the development of neural operators to solve geometry-dependent flow governing partial differential equations. The dataset includes 14,000 steady-flow cases and 730 pulsatile-flow cases simulated with computational fluid dynamics. All cases are computed using a laminar flow setup with more than 3 million cells.

Large language models (LLMs) have emerged as a dominant AI paradigm due to their exceptional text understanding and generation capabilities. However, their tendency to generate inconsistent or erroneous outputs challenges their reliability, especially in high-stakes domains requiring accuracy and trustworthiness. Existing research primarily focuses on detecting and mitigating model misbehavior in general-purpose scenarios, often overlooking the potential of integrating domain-specific knowledge. In this work, we advance misbehavior detection by incorporating domain knowledge. The core idea is to design a general specification language that enables domain experts to customize domain-specific constraints in a lightweight and intuitive manner, supporting later runtime monitoring of LLM outputs.