Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2027 conference.

Twelve men have been arrested in Vietnam after allegedly confessing to stealing and selling around 2,700 cats, Ho Chi Minh City police have said. Cat traps, fur removal machines and measuring scales were among the items seized during the investigation. The men are suspected of taking the pets to be slaughtered for food. Police allege the suspects roamed through residential areas in small groups on motorbikes at night to steal the cats. The men reportedly used pieces of fish as bait, placing traps outside houses where they knew cats were kept, state media reported.

Model-based clustering integrated with variable selection is a powerful tool for uncovering latent structures within complex data. However, its effectiveness is often hindered by challenges such as identifying relevant variables that define heterogeneous subgroups and handling data that are missing not at random, a prevalent issue in fields like transcriptomics. While several notable methods have been proposed to address these problems, they typically tackle each issue in isolation, thereby limiting their flexibility and adaptability. This paper introduces a unified framework designed to address these challenges simultaneously. Our approach incorporates a data-driven penalty matrix into penalized clustering to enable more flexible variable selection, along with a mechanism that explicitly models the relationship between missingness and latent class membership. We demonstrate that, under certain regularity conditions, the proposed framework achieves both asymptotic consistency and selection consistency, even in the presence of missing data. This unified strategy significantly enhances the capability and efficiency of model-based clustering, advancing methodologies for identifying informative variables that define homogeneous subgroups in the presence of complex missing data patterns. The performance of the framework, including its computational efficiency, is evaluated through simulations and demonstrated using both synthetic and real-world transcriptomic datasets.

Deploying clinical prediction models across healthcare systems often fails when key training covariates are unavailable at deployment and labeled outcomes are limited in the target domain. For example, high-performing models for out-of-hospital cardiac arrest (OHCA) rely on detailed prehospital measurements routinely collected in high-resource settings but unavailable in many international registries. Existing methods either discard missing covariates, sacrificing predictive information, or rely on untestable assumptions about their target distribution. We propose DRUM (\underline{D}istributionally \underline{R}obust \underline{U}nsupervised transfer learning with structurally \underline{M}issing covariates), a framework that transfers prediction models to target populations where certain covariates are structurally absent and outcome labels are unavailable. DRUM partitions covariates into shared components ($X$), observed across all settings, and missing components ($A$), observed only in the source. Rather than imputing missing covariates, DRUM optimizes worst-case predictive performance over the unknown target distribution of $A \mid X$ using a neural network generator, with a robustness parameter controlling allowable deviation from the source conditional. We further develop a bias correction procedure that reduces sensitivity to nuisance estimation error. Simulations show substantial improvements in both mean and worst-case prediction error under distribution shift. Applied to cross-national OHCA prediction, transferring models from a US registry to multiple Asian registries where prehospital variables are unrecorded, DRUM yields better-calibrated predictions and improved clinical classification performance across sites.

John Ternus ascends the throne - but Cook will stay on to manage tech giant's foreign policy as executive chair Tim Cook becomes Apple's elder statesman Apple announced late on Monday that Tim Cook will step down as CEO but will not leave the iPhone maker. Head of hardware engineering John Ternus will succeed him on 1 September. "I love Apple with all of my being," Cook said in a press release announcing his succession. Cook, 65, who succeeded Apple co-founder Steve Jobs, has been CEO since 2011. With a reputation for operational and supply chain management, he has overseen the global expansion of the company and its steady series of new, updated devices, though he never attained the same visionary status as Jobs.

Japanet is expanding its venture capital fund with Pegasus Tech Ventures, after early investments in firms like SpaceX, OpenAI, Anthropic and xAI showed strong growth. Japanese home shopping company Japanet is expanding its venture capital fund with San Jose-based Pegasus Tech Ventures, following the success of early bets in SpaceX, OpenAI, Anthropic and xAI. The Nagasaki-based retailer known for infomercials targeting seniors in aging Japan will allocate $200 million to the fund, up from an initial $50 million in 2021, following significant growth" in investments so far, the companies said in a statement. The fund, of which Pegasus is general partner, will focus on areas such as generative AI, robotics and space technology. Its Japan portfolio includes startup Aillis, which seeks to use artificial intelligence to analyze medical scans. Asian companies have struggled to win stakes in promising startups in Silicon Valley, hampered by a lack of personal connections and reputation for slow decision-making. Pegasus also manages startup investments on behalf of Toyota Motor-affiliate Aisin, Japanese chemical maker Denka, Taiwan's Asustek Computer and Acer and Indonesia's pharma company Kalbe Farma. Everybody wants a piece of the Silicon Valley AI action," Pegasus Chief Executive Officer Anis Uzzaman said on a video call.

Attendees at the Canton Fair in Guangzhou, China, take pictures of various service robots on display. At the world's largest trade show, it's not just the clientele that had a different look this year. Despite the near absence of buyers wearing a traditional Arab headdress and robe at the Canton Fair, a vast showcase that started last week in China's southern metropolis of Guangzhou, a brash new generation of tech companies stood out just as much. Few wanted to dwell on the war. Even as the conflict in the Middle East once more fractures global commerce, interviews with more than a dozen exporters at the fair found many were already eager to look beyond the hostilities blamed for the worst energy disruption in generations.

Anthropic was founded in 2021 by several former employees of OpenAI. Amazon is investing an additional $5 billion in Anthropic, and may inject $20 billion more over time, a deal that deepens the companies' ties in an increasingly competitive artificial intelligence industry. Anthropic, which makes the Claude chatbot and coding tool, plans to spend more than $100 billion over the next 10 years on Amazon's cloud technologies and chips, the companies said in a statement on Monday. Amazon shares gained about 3% on the news in extended trading. Amazon was already one of Anthropic's biggest backers, with prior investments totaling $8 billion.

A TV screen shows the artist database on Nadou Pro, iQIYI's artificial intelligence product for professional film and television production, during the iQIYI World Conference in Beijing on Monday. Beijing - China's equivalent of Netflix, iQIYI, faced backlash on Monday over a new initiative that facilitates the use of actors' likenesses in artificially generated dramas and films. More than 100 celebrities have joined a platform to connect with makers of AI-generated content interested in using their image, a senior executive told a conference in Beijing. China's entertainment industry has rapidly embraced the use of artificial intelligence, with AI-generated films and shows a common feature on video platforms. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Outside of Japan, Google's chatbot is accessible on both desktop and iOS. Google has added a new sidebar to Chrome that allows users to access Gemini from any of their tabs. After debuting in the US, Gemini in Chrome is making its way to more markets. Starting today, Google is rolling out Chrome's built-in chatbot to users in Asia and the Pacific, including Australia, Indonesia, Japan, the Philippines, Singapore, South Korea and Vietnam. The expansion comes after Google earlier this year made Gemini in Chrome available to people in Canada, India and New Zealand .