Sequences of events, such as crashes in the stock market or outages in a network, contain strong temporal dependencies, whose understanding is crucial to react to and influence future events. In this paper, we study the problem of discovering the underlying causal structure from event sequences. To this end, we introduce a new causal model, where individual events of the cause trigger events of the effect with dynamic delays. We show that in contrast to existing methods based on Granger causality, our model is identifiable for both instant and delayed effects. We base our approach on the Algorithmic Markov Condition, by which we identify the true causal network as the one that minimizes the Kolmogorov complexity. As the Kolmogorov complexity is not computable, we instantiate our model using Minimum Description Length and show that the resulting score identifies the causal direction.

Recent Convolutional Neural Networks (CNNs) have achieved significant success by stacking multiple convolutional blocks, named procedures in this paper, to extract semantic features. However, they use the same procedure sequence for all inputs, regardless of the intermediate features.

Research on video generation has recently made tremendous progress, enabling high-quality videos to be generated from text prompts or images. Adding control to the video generation process is an important goal moving forward and recent approaches that condition video generation models on camera trajectories make strides towards it. Yet, it remains challenging to generate a video of the same scene from multiple different camera trajectories. Solutions to this multi-video generation problem could enable large-scale 3D scene generation with editable camera trajectories, among other applications. We introduce collaborative video diffusion (CVD) as an important step towards this vision. The CVD framework includes a novel cross-video synchronization module that promotes consistency between corresponding frames of the same video rendered from different camera poses using an epipolar attention mechanism. Trained on top of a state-of-the-art camera-control module for video generation, CVD generates multiple videos rendered from different camera trajectories with significantly better consistency than baselines, as shown in extensive experiments.

If you're on haircare TikTok, there's a good chance you've heard of head spas. Popular in Japan, these relaxing treatments not only involve massaging and cleaning your scalp, but can also involve a scalp analysis to provide personalised tips on caring for your hair. Now French haircare brand Kérastase has launched the K-SCAN, an AI-powered scalp and hair analysis tool helping professionals provide such insights during your regular hair appointment. Offered as a complimentary add-on to any service in participating Kérastase-affiliated salons, a K-SCAN scalp analysis simply requires a hairdresser to snap a photo of your scalp using the handheld device. Taken with a microscopic camera under white LED light, cross-polarised white light, and UV light, the picture is then analysed by Kérastase's AI algorithm with results immediately displayed on a tablet.

Amid a serious truck driver shortage, convenience store chain Seven-Eleven Japan began a trial delivery service using robots on public roads in a western Tokyo suburb on Monday. In the experimental project involving two stores in the city of Hachioji, two robots at each outlet carry items ordered through the 7NOW delivery service app. The four-wheeled box-type robots, which can travel up to 6 kph, are designed to run on sidewalks while following traffic lights and dodging obstacles. After conducting the tests until February next year, Seven-Eleven Japan will consider the feasibility of the robot delivery service, which is expected to help the company cope with a driver shortage and better serve older customers who have difficulty going out shopping.

Uber Technologies plans to launch a self-driving mobility service in Japan, a company executive said Wednesday. The U.S. ride-hailing service provider plans to introduce autonomous rides in Japan once partner firms are ready, the executive said. Uber Technologies CEO Dara Khosrowshahi said at an event in New York that autonomous rides will make streets safer. The company offers driverless rides in some cities in countries, including the United States, in partnerships with Waymo, a unit of Google parent Alphabet, and other companies.

SoftBank reported a 124% jump in quarterly profit on resilient AI demand that's supporting startup valuations and chip unit sales, a boost to its aggressive data center investment plans. The Tokyo-based company reported net income of 517.18 billion ( 3.5 billion) in its fiscal fourth quarter. It was helped by the Vision Fund, which swung to a profit of 26.1 billion mainly on a surge in the value of TikTok owner ByteDance and its strong international sales. The earnings come at a critical juncture for SoftBank as it plans to invest 30 billion in OpenAI while leading a 100 billion foray into building AI hardware in the United States. Maintaining a healthy cash flow and balance sheet is key to securing the billions of dollars needed at minimum cost.

With the administration of U.S. President Donald Trump pursuing its "America First" policy, Japan needs to produce its own artificial intelligence technology for defense purposes as cutting-edge AI could become a tool for political leverage, the CEO of a much-hyped Japanese AI startup said Tuesday. Speaking at a news conference in Tokyo, Sakana AI CEO David Ha said that as U.S. foreign policy becomes more U.S.-centric, AI services could serve as "a bargaining chip for countries." "Especially in defense and cybersecurity, AI is becoming a core part of this technology. So Japan should have its own know-how and capabilities to produce the AI systems it needs to run them," said Ha, who founded Sakana AI in 2023 and has raised some 30 billion ( 203 million) from investors including Nvidia.

SoftBank Group reported a 124% jump in quarterly profit on resilient AI demand that's supporting startup valuations and chip unit sales, a boost to its aggressive data center investment plans. The Tokyo-based company reported net income of 517.18 billion ( 3.5 billion) in its fiscal fourth quarter. It was helped by the Vision Fund, which swung to a profit of 26.1 billion. The earnings come at a critical juncture for SoftBank as it plans to invest 30 billion in OpenAI while leading a 100 billion foray into building AI hardware in the U.S. Maintaining a healthy cash flow and balance sheet is key to securing the billions of dollars needed at minimum cost.