G7 Leaders issue a call to governments and digital service providers to prioritize minors’ online safety, including safe-by-design measures, age assurance, parental controls, and risk management for digital services and conversational AI.
Prime Minister Carney announced Canada is imposing new sanctions targeting Russia’s shadow fleet, energy revenues, defence industrial, and disinformation actors, targeting 162 individuals, entities, and vessels.
G7 Leaders reaffirm commitments on global economic resilience and call for further discussions on opportunities and risks from frontier AI, including in the financial sector, and enhanced cyber information sharing. The statement also encourages dialogue on quantum preparedness.
The European Commission publishes the State of the Digital Decade 2026 report assessing progress toward the 2030 Digital Decade targets and highlighting gaps in areas such as computing capacity, cybersecurity, skills, and advanced digital take-up. It calls on Member States to use the next adjustment of national roadmaps to address gaps and strengthen EU-level coordination.
Bill C-36 is introduced in Canada and would implement privacy reforms, including changes to enforcement. The record is based on reporting and does not provide the bill text or official publication details.
Reliable pixel-level uncertainty quantification holds the potential to transform clinical workflows by enabling high-fidelity longitudinal monitoring and distinguishing true pathological changes from artifacts. Ideally, these models provide the stability required for critical treatment planning and surgical intervention. However, standard deep learning models often suffer from miscalibration, yiel
While recent advances in machine learning have equipped Weather Foundation Models (WFMs) with substantial generalization capabilities across diverse downstream tasks, the escalating computational requirements associated with their expanding scale increasingly hinder practical deployment. Current Parameter-Efficient Fine-Tuning (PEFT) methods, designed for vision or language tasks, fail to address
We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly flexible input-output configurations, Cosmos 3 seamlessly unifies critical modalities for Physical AI -- effectively subsuming vision-language models, video generators, worl
The automated analysis of heterogeneous natural textures is frequently hindered by physical damage and data loss, presenting a significant challenge to computer vision. While deep learning has shown success in controlled environments, its application to complex geological materials under conditions of incomplete information remains underexplored. This study presents an integrated framework for the
Time series forecasting plays a vital role in supporting decision-making across a wide range of critical applications, including energy, healthcare, and finance. Despite recent advances, forecasting accuracy remains limited due to the challenge of integrating historical numerical sequences with contextual features, which often comprise unstructured textual data. To address this challenge, we propo
Capital is concentrating in one place: repeated IPO entries around SpaceX overwhelm the rest of the cycle. That makes the funding desk less about breadth than about how public-market pricing is absorbing a single large infrastructure story.
Capital is concentrating in one place: repeated IPO entries around SpaceX overwhelm the rest of the cycle. That makes the funding desk less about breadth than about how public-market pricing is absorbing a single large infrastructure story.
Capital is concentrating in one place: repeated IPO entries around SpaceX overwhelm the rest of the cycle. That makes the funding desk less about breadth than about how public-market pricing is absorbing a single large infrastructure story.
Named moves are sparse but directional: a CEO departure, plus two founder launches, signal both churn and formation at the top of the stack. The desk matters here because leadership changes and new founding teams can reset product and research priorities quickly.
Named moves are sparse but directional: a CEO departure, plus two founder launches, signal both churn and formation at the top of the stack. The desk matters here because leadership changes and new founding teams can reset product and research priorities quickly.
Named moves are sparse but directional: a CEO departure, plus two founder launches, signal both churn and formation at the top of the stack. The desk matters here because leadership changes and new founding teams can reset product and research priorities quickly.
Fresh scores cluster around a single model family across math and reasoning tasks, giving a narrow but useful read on current evaluation surfaces. The significance is less a leaderboard shake-up than a reminder that benchmark tracking is still being used to map incremental gains.
Fresh scores cluster around a single model family across math and reasoning tasks, giving a narrow but useful read on current evaluation surfaces. The significance is less a leaderboard shake-up than a reminder that benchmark tracking is still being used to map incremental gains.
Fresh scores cluster around a single model family across math and reasoning tasks, giving a narrow but useful read on current evaluation surfaces. The significance is less a leaderboard shake-up than a reminder that benchmark tracking is still being used to map incremental gains.