Brief

Taiwanese authorities have conducted raids across 12 locations in their first formal crackdown on the smuggling of Nvidia AI chips. The operation targets three individuals accused of forging documents to illicitly export Super Micro Computer Inc. servers, containing restricted Nvidia hardware, to mainland China, Hong Kong, and Macau. This action signifies a policy shift in Taiwan to comply with US trade restrictions and secure the global AI supply chain, making it more difficult to obtain banned chips for Chinese data centers. AI

Researchers have developed new methods for 'Learning-to-Defer' (L2D) systems, which decide whether to make a prediction or consult an expert. The latest advancements address limitations in existing frameworks by allowing systems to not only select an expert but also to provide that expert with additional, context-specific information. New approaches also extend L2D to utilize multiple experts simultaneously, enabling systems to query the top-k most cost-effective entities or adapt the number of experts based on input difficulty. AI

The U.S. government is acquiring $2 billion in equity stakes across nine quantum computing companies, including major players like IBM and D-Wave Quantum. This initiative, part of the CHIPS R&D investments, aims to bolster domestic quantum capabilities and create jobs. Notably, one of the recipient companies, PsiQuantum, has ties to Donald Trump Jr.'s investment firm, while D-Wave Quantum was taken public by a current Pentagon official. AI

Tsinghua University and Dreame Robot Vacuum have established a joint university-level graduate social practice base. This collaboration aims to cultivate the next generation of engineers by integrating academic learning with real-world product development and testing. Students will work on cutting-edge projects under the guidance of senior engineers, applying their research to practical challenges and industrial constraints. AI

Researchers have introduced a new framework called $L^2$ over Wasserstein space to address statistical uncertainty in optimal transport. This framework extends the classical theory to random probability measures, preserving the Riemannian structure of Wasserstein space and enabling random gradient flow dynamics. The approach offers a unified method for random optimal transport, benefiting principled inference and generative modeling, and can incorporate theories like random token sampling in transformer models. AI

The UK's Education Committee has called for a ban on social media for children, citing concerns over their mental health and the failure of tech companies to self-regulate. The committee believes that technology firms cannot be trusted to protect young users. This recommendation comes amidst broader discussions about AI adoption and its associated security challenges. AI

The global smart building market is experiencing rapid growth as smart infrastructure transforms city and building operations. Investments are increasing in areas such as energy efficiency, AI-driven automation, and intelligent security systems. Businesses are adopting connected buildings to enhance operational efficiency and meet sustainability targets. AI

Researchers have analyzed the training dynamics of simplified linear transformer models, specifically focusing on how large learning rates affect convergence. Their study reveals that beyond certain stability thresholds, high learning rates can lead to training attractors that result in cycles, bounded chaos, or divergence, rather than a direct solution. The findings suggest that large constant learning rates can fundamentally alter the learned transformer's behavior, impacting convergence outcomes. AI

SpaceX has outlined an ambitious plan to conduct 10,000 launches annually within the next five years. However, the Federal Aviation Administration (FAA) has expressed reservations, stating that reliability improvements are necessary before such expansion can be approved. Concurrently, SpaceX's broader vision includes a 1-million satellite constellation intended to power AI data centers using solar energy. AI

Meituan's low-altitude drone network has officially begun regular operations, marking a significant step in its low-altitude logistics capabilities. The company is now recruiting authorized service providers nationwide, offering its self-developed hardware and software products to the industry. This expansion aims to open up Meituan's drone delivery services to a broader market. AI

Lu Yu Technology, a startup founded by individuals with no prior agricultural experience, has invested over 30 million yuan in developing an AI-driven system for aquaculture. After two significant failures, the company has created a comprehensive AI solution that addresses the inherent uncertainties in fish farming. Their system focuses on data collection, AI-powered decision-making, and automated execution to bring predictability to the 1.38 trillion yuan aquaculture market, which currently has less than 5% digital penetration. AI

Airbnb CEO Brian Chesky is facing scrutiny from U.S. lawmakers regarding the company's use of Chinese AI models, specifically Alibaba's Qwen. Chesky defended the practice, stating that Airbnb primarily uses open-source models and does not share data with Chinese companies, arguing that concerns about data access are a misunderstanding of the technology. This situation highlights the growing tension between U.S. national security interests and the availability of cost-effective AI solutions from China, as evidenced by a recent bipartisan bill aimed at promoting American technology procurement among allies. AI

Kingsoft Office is rebuilding its distribution channels to better serve the private enterprise market. Under new leadership, the company is shifting from a relationship-based model to one focused on partner capabilities and customer value. This involves introducing a new distribution network with a general agent, establishing clear rules to prevent channel conflict, and emphasizing service and customer success to drive long-term growth. AI

Researchers have developed a new projection-based algorithm for Constrained Online Convex Optimization (COCO) that significantly improves performance. The algorithm achieves logarithmic regret and cumulative constraint violation (CCV) for strongly convex losses, an exponential improvement in CCV. For general convex losses, it maintains optimal regret while reducing CCV. AI

Vipshop reported first-quarter net revenue of 26.6 billion yuan, with a Non-GAAP net profit of 2.3 billion yuan. The company saw an 8.6% year-over-year increase in Gross Merchandise Volume (GMV) to 56.9 billion yuan and a 3.2% rise in order volume to 173 million. Vipshop is focusing on enhancing its product offerings, particularly in outdoor and sports categories, and improving user operations through its VIP membership program, which now contributes over 50% of online sales. The company is also integrating AI across various functions, including virtual try-on, intelligent customer service, and personalized marketing, to optimize user experience and operational efficiency. AI

Researchers have developed a new, mathematically sound, and computationally efficient method for measuring model complexity. This approach, based on analyzing similarities in model gradients across different inputs, is applicable to a wide range of models, including parametric, non-parametric, and kernel-based types. The proposed measure unifies and generalizes existing complexity metrics for various models like decision trees and neural networks, offering new insights into phenomena such as double descent. AI

SpaceX is planning to establish manufacturing infrastructure on the Moon and Mars, with initial deployments of orbital AI computing satellites anticipated as early as 2028. The company believes these space exploration endeavors will spur transformative advancements that could reshape terrestrial industries and create new markets worth trillions of dollars on celestial bodies. This initiative highlights a long-term vision for extraterrestrial industrialization and resource utilization. AI

Meituan's drone delivery service has surpassed 900,000 commercial orders, positioning it as the second-largest globally in this sector. This milestone highlights the rapid growth and adoption of drone-based logistics. The company's progress is notable, especially when compared to other major players in the field. AI

SpaceX has outlined an ambitious plan to conduct 10,000 launches annually within five years, according to the head of the FAA. The agency, however, requires improved reliability before approving such a significant expansion. This initiative follows SpaceX's earlier announcement of a 1-million satellite constellation intended to power AI data centers using solar energy. AI

South Korea has unveiled a plan to become a global AI hub, aiming to consolidate international AI capabilities to address global challenges like disease control and climate change. The government intends to establish a global AI center to foster cross-border collaboration with nine international organizations and five multilateral development banks. AI

A coalition of technology researchers is suing the Trump administration, challenging a policy that restricts visas for individuals involved in censoring online content. The Coalition for Independent Technology Research (CITR) argues this policy, initiated by Secretary of State Marco Rubio, infringes upon free speech and due process rights of foreign-born researchers working on content moderation and online safety. The lawsuit seeks to strike down the policy, which the researchers' legal team contends uses immigration law to punish dissenting views and has a chilling effect on vital research into technology's societal impact. AI

Researchers have conducted a "Counter Turing Test" to evaluate the effectiveness of AI-generated content detection methods. For text, top systems achieved perfect scores in distinguishing AI from human writing but struggled to identify the specific model. In image detection, AI-generated visuals were identified with high accuracy, though pinpointing the exact generative model proved significantly more difficult. AI

Researchers have developed a new method to improve the reliability of random forest classification models by analyzing the decision paths within individual trees. This approach reweights trees based on the patterns of class label flips along their root-to-leaf paths, addressing the limitation of treating all trees equally. The proposed class-conditional ratio weighting scheme demonstrated statistically significant accuracy improvements over standard random forests on 30 binary classification benchmarks, while avoiding common regressions in recall. AI

SpaceX has filed its IPO prospectus, revealing plans to raise between $75-80 billion at a valuation exceeding $1.5 trillion. The filing highlights significant revenue streams from Starlink and xAI, which are reportedly subsidizing rocket operations. However, the prospectus also details a substantial net loss of $1.3 billion on $4.7 billion in revenue last quarter, contrasting sharply with profitable companies like Saudi Aramco. Investor concerns are also raised regarding Elon Musk's leadership style, drawing parallels to his tenure at Tesla, including past SEC disputes and public controversies. AI

Researchers have developed a new method called LLM-assisted Feature Discovery (LFD) to create more interpretable text representations. LFD focuses on conceptual clarity and label disentanglement, ensuring that features are meaningful and distinct from the prediction target. Human audits with 232 raters demonstrated that LFD features achieve higher agreement and are perceived as less prone to label leakage compared to existing methods. AI

A new research paper introduces the "localization method," a general machine learning framework built on localization kernels and local means. This framework provides a unified theoretical foundation and demonstrates connections to various existing methods like kernel methods, MeanShift, and denoising autoencoders. Notably, the paper shows how Transformers can be derived from this framework, offering a new perspective on unifying and designing flexible learning systems. AI

Researchers have developed a new method called SURF (Sampling Uniformly along the PaReto Front) to address challenges in multi-objective optimization. SURF aims to generate diverse solutions with uniform coverage of the Pareto front, a goal often unmet by standard weight sampling techniques. The method analyzes the geometric relationship between scalarization weights and solution coverage, proposing a principled rule for selecting weights that ensure uniform distribution. SURF has demonstrated empirical success in improving Pareto front coverage across various applications, including multi-objective LLM alignment. AI

Researchers have developed new bandit algorithms designed for scenarios where payoffs are smooth across graph-connected data. These algorithms are particularly applicable to online learning problems like content-based recommendation, where items are nodes and their expected ratings are influenced by neighbors. The proposed methods aim to minimize cumulative regret by introducing an 'effective dimension' concept, showing that user preferences for thousands of items can be estimated from just tens of evaluations. AI

Researchers have theoretically analyzed the benefits of transfer learning using an optimal transport framework. Their findings suggest that for data dimensions greater than three, transfer learning offers improved sample efficiency compared to direct learning, particularly for complex models with non-smooth activation functions. This theoretical advantage was numerically demonstrated using image classification tasks, showing significant performance gains in data-scarce scenarios. AI

Two new benchmarks, WikiVQABench and VISTAQA, have been introduced to evaluate visual question answering (VQA) models. WikiVQABench focuses on knowledge-grounded VQA, requiring models to use external information from Wikipedia and Wikidata to answer questions based on images. VISTAQA, on the other hand, emphasizes the alignment between a model's textual answer and the specific visual evidence supporting it, introducing a new metric called GROVE for joint evaluation. AI

A new wave of philanthropy, fueled by the AI boom, is poised to significantly boost federal research and development funding. Philanthropic sources, including those from AI companies like OpenAI and Anthropic, could contribute billions annually. The National Science Foundation (NSF) is exploring ways to leverage these funds, such as creating a non-profit foundation to facilitate partnerships and maximize the impact of federal investments in science and technology. AI

SpaceX has officially filed for its initial public offering, revealing significant financial details and ambitious future plans. The company generated $18.7 billion in revenue in 2025, primarily from its Starlink satellite internet service, though it reported a $2.6 billion operational loss due to heavy investment in its Starship program. SpaceX's filing outlines a staggering total addressable market of $28.5 trillion, with a substantial portion attributed to artificial intelligence, alongside its space and connectivity ventures. AI

Venture capital firm Antler, founded by Magnus Grimeland, is expanding its global reach, opening its first office in Silicon Valley nearly a decade after its inception. Despite Silicon Valley's prominence, Grimeland believes innovation can occur anywhere, a philosophy reflected in Antler's presence across 27 cities on six continents. The firm, which invests in founders before they even start companies, has made over 1,500 investments and manages more than $1 billion in assets, with two portfolio companies achieving unicorn status last year. AI

Companies are developing contingency plans due to stricter U.S. visa policies that risk stranding foreign workers overseas. These new H-1B visa application criteria, including social media reviews, have caused significant processing delays and separations. Experts advise businesses to create 'plan C' strategies to retain skilled immigrant talent, who hold critical leadership roles in many organizations. AI

SpaceX's IPO filing revealed significant financial losses in its artificial intelligence endeavors. Despite these current losses, the company is positioning itself as a future leader in AI, aiming to transform its identity from a rocket manufacturer to an AI powerhouse. AI

Singapore is initiating trials for weaponized unmanned systems in the coming months, according to Coordinating Minister for National Security K. Shanmugam. This move reflects a broader trend in Southeast Asia where militaries are rapidly adopting inexpensive and lethal drone technologies. Experts emphasize the urgent need for regulations and transparency to mitigate the risks of accidents or miscalculations that could escalate regional tensions. AI

Despite the rise of pay transparency laws, many companies struggle to justify their salary decisions, leading to persistent pay gaps. Experts at a Fortune summit highlighted that the core issue is not a lack of shared pay information, but an inability to explain the rationale behind compensation. This inconsistency, often stemming from daily hiring and retention decisions that override strategic pay philosophies, results in employees not understanding their pay, and a widening gender pay gap. AI

Two open-source AI projects are making strides in multimedia generation. Fasterliveportrait-mlx is integrating MLX for real-time human synthesis and audio-video creation, focusing on Apple Silicon. Utopai's PAI aims to be an AI film studio for feature-length stories, covering scriptwriting, character design, storyboarding, and full film generation with an emphasis on human-like storytelling. AI

The AI platform eSusFarm is broadening its reach in African smallholder finance, leveraging Microsoft's AI and cloud data. This initiative aims to provide bundled credit, insurance, and climate-risk tools to farmers, particularly those using feature phones. The platform's model is significant for Africa as it addresses the challenge of scaling financial services in rural areas where traditional institutions have faced difficulties. AI

Tmall's 618 shopping festival, beginning May 21st, is offering its largest discounts in five years, with official reductions and coupons bringing prices down to 7.3折 (approximately 73% of original price). Consumers can also benefit from an expanded national subsidy program covering 32 categories of home appliances and digital products, potentially reducing prices by up to 50%. This year's event also introduces an AI shopping assistant within the Taobao app to help users navigate deals and generate savings plans. AI

The United Arab Emirates is prioritizing artificial intelligence as a national infrastructure, akin to roads and power grids, according to a new report. This strategic approach, detailed by INSEAD and Yango, highlights how Abu Dhabi and Dubai are integrating AI as a foundational element of their economies. This initiative marks a global first in treating AI as a state-level infrastructure project. AI

The Pentagon is reportedly preparing to integrate advanced AI models capable of cyber warfare into its operations. This move aims to enhance the military's offensive and defensive cyber capabilities. The adoption of these AI systems is expected to significantly alter the landscape of digital conflict. AI

China and the United States have reached several positive agreements to address non-tariff barriers and market access issues for agricultural products. Both sides have committed to creating favorable conditions for bilateral trade, aiming to restore and expand cooperation in this sector. This development is part of the broader economic and trade relationship between the two nations. AI

Xbox has appointed Matthew Ball, a prominent industry analyst and author, as its new Chief Strategy Officer to revitalize the console segment. This move follows recent leadership changes and significant layoffs within Microsoft's gaming division. Additionally, Scott Van Vliet, formerly of Microsoft's Azure OpenAI and AI Core infrastructure, has joined Xbox as Chief Technology Officer. AI

In the first four months of this year, China-Russia trade reached $85.2 billion, marking a 19.7% increase year-over-year. Both countries are committed to strengthening economic and trade policy communication and leveraging new productive forces to drive growth in both goods and services trade. This follows a trend where China-Russia trade has exceeded $200 billion for three consecutive years. AI

Researchers have introduced a new theoretical framework called the Pursuit of Subspaces (PoS) hypothesis to better understand the inner workings of deep neural networks. This axiomatic approach uses geometric postulates to explain representation, computation, and generalization in neural network architectures. The PoS hypothesis aims to bridge the gap between the empirical success of neural networks and the current lack of theoretical understanding, offering a principled foundation for deep learning. AI

Researchers have introduced a novel method using contradiction graphs to determine the VC dimension of binary concept classes. This approach establishes that the order-m contradiction graph, G_m(H), can ascertain if the VC dimension of H is at least m. The full sequence of these graphs, (G_m(H)) for m >= 1, precisely determines the exact VC dimension, resolving a long-standing question in the field. AI

A FEMA reform plan proposes a significant shift towards a more state-centered disaster response system. The plan, developed by the FEMA Review Council appointed by President Trump, aims to make FEMA less of an operator and more of a funder and coordinator. This would involve raising the threshold for federal disaster declarations, potentially leading to fewer federal involvements in moderate disasters and placing more responsibility on states and local governments for recovery efforts. AI

Researchers have developed novel score-based methods for discovering causal structures that include latent variables. These methods aim to overcome limitations of existing constraint-based approaches, such as order dependency and error propagation. The new techniques offer identifiability guarantees and provide a unified view of various constraint-based methods by characterizing degrees of freedom for observed variables. AI

Researchers have developed a new method for training neural networks that is more robust to errors in labeled data. This approach, called symmetrization of loss functions, theoretically guarantees better performance when dealing with noisy labels. The study introduces specific multi-class loss functions, including SGCE and alpha-MAE, which interpolate between existing methods and offer control over smoothness, showing competitive results on benchmarks. AI