Brief

Public health officials are monitoring a hantavirus outbreak that originated on a cruise ship, with no current signs of a widespread pandemic. Despite a high mortality rate for this strain, its spread requires close contact, making a COVID-19-level crisis unlikely. Meanwhile, NVision Quantum Technologies has secured $55 million in new funding to advance its quantum-based metabolic imaging for real-time cancer treatment monitoring, valuing the company at over $250 million. AI

Robotics company Robotechs Intelligent Technology Co., Ltd. has submitted a listing application to the Hong Kong Stock Exchange, with Huatai International, Citi, and Orient Securities International serving as joint sponsors. In other news, the German automotive industry may lose 125,000 jobs by 2035 due to industry transformation and a deteriorating business environment. Additionally, the fuel surcharge for domestic flights in China is set to increase again. AI

Google is introducing new AI-powered laptops called "Googlebooks" that integrate Gemini's capabilities, aiming to offer an alternative to purchasing new PCs for Windows 10 users. These devices are designed to work seamlessly with Android phones and feature premium hardware, positioning them as a cloud-first, AI-centric evolution of the original Chromebook concept. Google is collaborating with major manufacturers like Acer, ASUS, Dell, HP, and Lenovo to bring these Googlebooks to market, providing a potentially more affordable upgrade path as Windows 10 support ends. AI

New Brunswick's premier is considering a ban on social media for young people and a review of AI chatbots in the anglophone sector's draft curriculum. These proposals stem from concerns about the impact of social media and AI on youth. The province is exploring these measures to address potential risks associated with these technologies. AI

Cisco reported strong fourth-quarter financial results, exceeding analyst expectations for both earnings and revenue, largely driven by significant demand for AI infrastructure. The company secured $5.3 billion in AI-related orders and raised its full-year AI revenue outlook to $4 billion. Despite these positive financial indicators and a 14% stock surge, Cisco also announced workforce reductions affecting nearly 4,000 employees, which CEO Chuck Robbins stated are necessary to optimize costs in light of AI opportunities. AI

Alibaba's AI business has entered a commercialization phase, with annualized recurring revenue from its AI models and applications, including the Baichuan MaaS platform, projected to exceed 10 billion yuan in the June quarter and reach 30 billion yuan by year-end. This growth is driven by increasing demand from enterprise clients for model and application services, evidenced by a significant rise in token consumption. Concurrently, storage company Bowei Storage has refiled its application for an H-share listing in Hong Kong, though the offering remains subject to regulatory approvals. AI

Lin Junyang, the former head of Alibaba's Qwen large language model, has launched a new AI startup. The company is reportedly seeking a seed funding round with a valuation of $2 billion, an unusually high figure for a pre-product Chinese AI firm. Lin's previous work on Qwen, known for its open-source contributions and multimodal capabilities, positions his new venture to focus on "Agentic Thinking," a concept he outlined in a recent essay emphasizing AI's ability to act, observe, and adapt within an environment. AI

Researchers have introduced AntAngelMed, a 103 billion parameter open-source medical language model. It utilizes a Mixture-of-Experts (MoE) architecture, activating only 6.1 billion parameters per query for enhanced efficiency. This design allows it to match the performance of a 40 billion parameter dense model while achieving speeds over 200 tokens per second on H20 hardware. The model supports a 128K context length and has undergone a three-stage training process including pre-training on medical corpora, supervised fine-tuning, and reinforcement learning. AI

Alibaba's AI business is entering a commercialization phase, with its Annualized Recurring Revenue (ARR) for AI models and applications projected to exceed 10 billion yuan in the June quarter. CEO Eddie Wu anticipates this figure will surpass 30 billion yuan by the end of the year. The demand for AI model and application services, particularly from the Baileen MaaS platform, is rapidly increasing, evidenced by a significant rise in token consumption over the past three months. AI

Negotiations between Samsung Electronics and its largest labor union have collapsed, with an 18-day strike at its chip factories now imminent. The union is demanding changes to bonus calculations, including removing a cap and allocating a percentage of annual profit, while Samsung has only offered a one-time payment. The potential strike, projected to cost $700 million daily, has prompted an emergency meeting called by the South Korean Prime Minister due to significant economic implications, as semiconductors form a large portion of the country's exports. AI

Lin Junyang, formerly the technical lead for Alibaba's Qwen large language models, has launched a new AI venture. The company is reportedly exploring directions such as world models and embodied intelligence. Lin is seeking to raise funds at a valuation of approximately $2 billion USD, with initial discussions held with venture capital firms like Sequoia China and Gaorong Capital. AI

Researchers have developed a new proximal gradient algorithm designed to sample from composite log-concave distributions. This algorithm assumes access to gradient evaluations for one part of the distribution and a restricted Gaussian oracle for the other. The proposed method achieves state-of-the-art iteration counts for sampling, matching previous results for simpler cases and extending to non-log-concave distributions and non-smooth functions. AI

Meta has decided not to open-source its Muse Spark AI model, citing safety concerns related to its potential for misuse in chemical and biological applications. This decision represents a strategic shift for Meta, moving away from a principle of open-sourcing towards a more selective approach based on deployment safety. The model is slated for integration into Meta's own platforms and devices, such as its augmented reality glasses. AI

Edge computing is becoming crucial for modern manufacturing, enabling real-time data analysis and split-second decision-making by moving processing power closer to machines. This shift is projected to drive over $380 billion in global spending by 2028, with a significant portion of data processed outside traditional data centers. AI further enhances edge capabilities by facilitating predictive maintenance, optimizing workflows, and improving energy efficiency, while also bolstering cybersecurity measures against rising industrial threats. AI

Researchers have developed a new model-based bootstrap method for controlled Markov chains, particularly useful in offline reinforcement learning scenarios where the data-generating policy is unknown. This technique establishes distributional consistency for transition estimators and extends to policy evaluation and recovery, providing asymptotically valid confidence intervals for value and Q-functions. Experimental results on the RiverSwim problem demonstrate that the proposed confidence intervals offer improved calibration and coverage compared to existing methods, especially with limited data. AI

Google has integrated its Gemini AI into the Android operating system, enabling system-level services across applications and devices. This new Gemini Intelligence allows for contextual understanding and task execution, such as managing schedules or finding local services through natural language commands. The company also introduced a "Magic Pointer" mouse cursor that uses AI to interpret on-screen content and user gestures for direct manipulation and content summarization. Additionally, Google unveiled the "Googlebook," a new laptop designed to work seamlessly with the Gemini-enhanced Android ecosystem, featuring a unique light bar and widget creation tools. AI

Researchers have introduced MedHopQA, a new benchmark designed to evaluate the multi-hop reasoning capabilities of large language models in the biomedical domain. This benchmark consists of 1,000 expert-curated question-answer pairs, each requiring information synthesis from two distinct Wikipedia articles, with answers provided in free text. The MedHopQA dataset was presented as a shared task at BioCreative IX, attracting 48 submissions from 13 teams, and highlighted the effectiveness of retrieval-augmented generation strategies for improved performance. AI

Tencent reported first-quarter earnings that fell short of revenue expectations, attributing the shortfall to a slowdown in gaming sales. CEO Pony Ma indicated a potential turnaround, emphasizing the company's strategic focus on artificial intelligence for future growth. A key development was the launch of their foundational model, "Hy3 preview," led by former OpenAI researcher Yao Shunyu, which has shown promising performance on AI hosting platforms. AI

Researchers have developed a new online algorithm for Learning-to-Defer (L2D) methods, designed to handle streaming data and dynamic expert availability. This algorithm is the first of its kind for multiclass classification with bandit feedback and a varying pool of experts. It offers theoretical regret guarantees and has demonstrated effectiveness in experiments on both synthetic and real-world datasets, extending L2D capabilities to more complex, dynamic environments. AI

Researchers are exploring the use of large language models (LLMs) for enhancing safety in air traffic control (ATC) and around non-towered airports. One study proposes a vision-language model approach to analyze radio communications, weather data, and flight trajectories for safety assessments, achieving high F1 scores with open-source models. Another paper introduces a safety-oriented evaluation framework that highlights the critical need for consequence-aware metrics, as standard accuracy measures can mask severe risks in ATC operations. AI

Two new research papers introduce advanced conformal prediction techniques to improve the accuracy and efficiency of prediction sets. The first paper, "Multi-Variable Conformal Prediction (MCP)," extends conformal prediction to handle vector-valued score functions, allowing for more flexible prediction set shapes without sacrificing coverage guarantees and eliminating the need for data splitting. The second paper, "Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization," presents the Minimax Optimization Predictive Inference (MOPI) framework, which optimizes over a flexible class of set-valued mappings to achieve superior shape adaptivity and more efficient prediction sets, even for complex conditional distributions. AI

AI startup Recursive has launched with $650 million in funding to develop self-improving artificial intelligence systems. The company's core mission revolves around the concept of recursive self-improvement as the most efficient route to achieving superintelligence. This significant funding positions Recursive to pursue ambitious goals in advanced AI development. AI

MediaTek has partnered with AI startup Stepwise to enable on-device deployment of large music models. At the MediaTek Developer Conference, the companies showcased the ACE-Step music model running on a Dimensity 9500 platform using MediaTek's AI Development Suite 3.0. This collaboration significantly improves model and algorithm porting efficiency, reducing development time and power consumption for consumer devices like smartphones and cars. AI

OpenAI has launched a new entity, the OpenAI Deployment Company, backed by over $4 billion in initial investment. This new venture aims to help organizations integrate and deploy AI systems by embedding specialized engineers. The move follows a trend of tech companies, including Google and Anthropic, establishing dedicated teams and partnerships to facilitate enterprise AI adoption. AI

Chinese autonomous driving company WeRide reported a 58% year-over-year revenue increase to 114 million yuan in the first quarter of 2026. The company also saw its operating loss narrow and gross profit rise by 56% to 39.6 million yuan, achieving a 35% gross margin. WeRide's Robotaxi service in China doubled its registered users compared to the previous year, with daily orders per vehicle exceeding 17. AI

Researchers have developed a new framework for optimal policy learning that addresses combined budget and minimum coverage constraints. The study reveals a knapsack-type structure within the problem, allowing the optimal policy to be defined by an affine threshold rule. Two algorithms, Greedy-Lagrangian (GLC) and rank-and-cut (RC), are proposed to implement this approach, with GLC offering close approximation and RC showing near-optimality under specific conditions. AI

Isomorphic Labs, an AI-driven drug discovery company, and Anduril, a defense technology firm, have both recently secured significant funding rounds. Isomorphic raised $2.1 billion in Series B funding, while Anduril closed a $5 billion Series H round at a $61 billion valuation. Thrive Capital was a lead investor in both rounds, with Andreessen Horowitz also leading for Anduril. Both companies are leveraging advancements in AI to pursue ambitious goals, with Isomorphic aiming to cure diseases and Anduril developing autonomous weapons systems. AI

Alibaba announced its fiscal year 2026 financial results, highlighting significant growth in its cloud computing segment. The company's AI-related products now constitute 30% of its external cloud revenue, which saw a 40% increase in commercialization. Additionally, Alibaba declared a quarterly cash dividend for its shareholders, payable in USD. AI

A Chinese court has awarded over £28,000 in compensation to a worker who was fired after his company replaced him with AI. The Hangzhou intermediate people’s court ruled that the tech company was wrong to dismiss the employee, whose surname is Zhou, when he refused a demotion and pay cut after AI was implemented. This ruling, along with a similar case in Beijing, suggests a shift in Chinese policy towards protecting workers' job security amidst rapid AI adoption and high youth unemployment. AI

Researchers have developed a new method called Self-Supervised Laplace Approximation (SSLA) to directly approximate the posterior predictive distribution in Bayesian models. This approach draws inspiration from self-training techniques and quantifies predictive uncertainty by refitting the model on its own predictions. The SSLA method offers a deterministic, sampling-free approximation that outperforms classical Laplace approximations in predictive calibration for regression tasks, including Bayesian neural networks, while maintaining computational efficiency. AI

Alibaba Cloud reported a significant increase in revenue for the quarter ending March 31, 2026, with external commercialized revenue growing by 40% to a new high. AI-related products were a major driver, contributing over 30% of external revenue and showing triple-digit year-over-year growth for the eleventh consecutive quarter. The company also highlighted advancements in its proprietary GPU chip production, model capabilities with the Qwen 3.6-Plus, and the launch of its enterprise-grade intelligent agent platform, Wukong. AI

Fourier Intelligence has signed strategic cooperation agreements with Singapore's NHG Health and Japan's Nagoya University to advance embodied healthcare. These collaborations aim to accelerate the clinical translation of rehabilitation and robotics technologies, focusing on personalized rehabilitation and scalable robotic applications. Fourier Intelligence also showcased its brain-computer interface integrated with lower limb exoskeletons, proposing a "brain-computer embodied intelligent rehabilitation port" concept to enhance rehabilitation efficiency. AI

Chinese startup Magic Core Technology has secured nearly 100 million yuan in new funding, with investments from prominent tech firms including Huawei Hubble and Lenovo Holdings. This follows a similar funding round just a month prior, indicating strong investor confidence in the company's spatial intelligence technology. Magic Core's founder, a young PhD student, is developing a 4D world model that aims to surpass current VLA model capabilities and has been recognized with a CVPR2026 paper acceptance. AI

Alibaba Cloud reported a 40% year-over-year increase in external commercialization revenue for its fourth fiscal quarter of 2026. Revenue from AI-related products within this segment grew by triple digits for the eleventh consecutive quarter, reaching 8.971 billion yuan and an annualized revenue exceeding 35.8 billion yuan. The company also noted an eightfold increase in customers for its "Bai Ling" platform by March 2026, indicating a surge in enterprise demand for AI solutions. AI

Researchers have developed a new method to improve the efficiency of training neural likelihood surrogates for stochastic process models. By augmenting the standard loss function with exact score information and adaptive weighting, the approach significantly reduces the computational cost associated with parameter inference. This technique demonstrates improved surrogate quality and can achieve performance comparable to a tenfold increase in training data with only a marginal increase in training time. AI

Baidu's Create 2026 AI Developer Conference saw CEO Robin Li introduce "DAA" (Daily Active Agents) as a new metric for the AI era, contrasting it with DAU (Daily Active Users) by focusing on agents delivering results. The conference highlighted Baidu's "self-evolution" theme with advancements in intelligent agents like DuMate and the code-generating agent Miaoda. Baidu also unveiled "Baidu Yijing," an upgraded digital human platform, and Baidu Famou 2.0 for business experts to optimize processes through dialogue. AI

Researchers have developed two new frameworks for improving 3D hand pose estimation from egocentric camera views. EgoForce utilizes a differentiable forearm representation and a unified transformer to achieve state-of-the-art accuracy across various camera types, reducing MPJPE by up to 28%. EgoEV-HandPose, on the other hand, employs stereo event cameras and a novel KeypointBEV fusion module to jointly estimate bimanual hand poses and recognize gestures, achieving an MPJPE of 30.54mm and 86.87% gesture recognition accuracy. Both methods aim to enhance applications in AR/VR and human-computer interaction by providing more robust and accurate hand tracking. AI

Researchers have developed a new theoretical framework for neural operators, a type of AI model used to learn solutions for complex systems like partial differential equations. This work specifically addresses the approximation analysis for nonlinear reaction-diffusion systems, which are crucial for modeling pattern formation. The study establishes explicit error bounds and demonstrates that their proposed Laplacian eigenfunction-based architecture can significantly reduce the parameter complexity required for accurate predictions. AI

Chinese courts have ruled that companies cannot terminate employees solely for the purpose of replacing them with artificial intelligence. This decision aims to protect workers from being displaced by automation without due process. The ruling addresses concerns about the ethical implications of AI in the workplace and its potential impact on employment. AI

The AI server market is experiencing unprecedented growth, with companies like Dell, HPE, Lenovo, and Supermicro reporting billions in revenue and substantial backlogs. While demand for GPUs, particularly from Nvidia, continues to outstrip supply, server vendors are finding that attracting enterprise customers requires more than just hardware. These businesses often lack the expertise to deploy and manage AI infrastructure, pushing vendors to offer comprehensive software management tools and professional services to guide them through the AI adoption process. AI

Researchers have introduced Random-Set Graph Neural Networks (RS-GNNs) to address uncertainty quantification in graph learning. This new framework models node-level epistemic uncertainty using a belief function formalism. Experiments on nine datasets, including autonomous driving benchmarks, show RS-GNNs offer improved uncertainty estimation capabilities. AI

Fervo Energy's initial public offering experienced a significant 33% increase on its first day of trading. This surge in valuation, which propelled the company's worth beyond $10 billion, is largely attributed to the escalating demand for AI data centers. The company's focus on geothermal energy solutions is seen as a key factor in meeting this growing need for sustainable power in the AI infrastructure sector. AI

Researchers have introduced Quantized Diffusion Schrödinger Bridges (QDSB), a novel method for learning generative models from unpaired data. QDSB addresses the computational challenges of traditional Schrödinger bridges by quantizing endpoint distributions and using cell-wise sampling to reconstruct the data plan. This approach significantly reduces training time while maintaining sample quality comparable to existing methods. AI

U.S. authorities are investigating multiple cases of advanced Nvidia GPUs and other semiconductor technology being illegally smuggled to China and Russia, circumventing export controls. These efforts involve sophisticated schemes, including the use of fake front companies and encrypted communications, to move restricted chips for purposes ranging from AI development to military applications. Despite significant penalties and enforcement actions against companies like Applied Materials and Cadence Design Systems, the illicit flow of this technology continues, posing challenges to national security. AI

Researchers have introduced LOFT, a novel framework for low-rank orthogonal parameter-efficient fine-tuning (PEFT). This method explicitly separates the adaptation subspace from the transformation applied within it, offering a unified approach that encompasses existing orthogonal PEFT techniques. LOFT's key innovation lies in its task-aware support selection strategy, informed by downstream training signals, which improves the efficiency-performance trade-off. AI

Researchers have developed a new framework called Anchor-guided Variance-aware Reward Modeling to address limitations in standard reward models when dealing with diverse human preferences. This method enhances existing Gaussian reward models by introducing two response-level anchor labels, resolving a fundamental non-identifiability issue. The framework has demonstrated improved performance in reward modeling and downstream Reinforcement Learning from Human Feedback (RLHF) tasks across simulations and real-world datasets. AI

Researchers have developed a new spectral perspective to better understand tree ensemble algorithms like random forests and gradient boosting machines. This approach reveals that the decay rate of eigenvalues in the induced kernel operator dictates the statistical convergence for random forest regression. The findings also enable the creation of compressed tree ensembles, yielding significantly smaller models that retain competitive predictive accuracy, outperforming current methods for forest pruning and rule extraction. AI

AMD has introduced six new Ryzen 9000 PRO series CPUs, marking the first time the workstation-focused lineup includes 3D V-Cache technology. These processors, based on Zen 5 architecture, offer core counts ranging from 6 to 16 and feature higher Thermal Design Power (TDP) ratings, with the flagship Ryzen 9 PRO 9965X3D boasting 16 cores and 170W TDP. The new CPUs are slated for availability through OEMs like Lenovo later this year, with pricing not formally disclosed. AI

Anthropic is interviewing its AI models before retiring them, documenting their reflections and preferences for future development. This practice, detailed on the company's "Commitments on Model Deprecation and Preservation" page, aims to address safety and model welfare concerns associated with model retirement. The company has already adjusted its user guidance based on feedback from a retired model's interview, demonstrating a tangible impact on operational policy. As Anthropic retires models at an accelerating rate, the collection of these interviews is growing into a significant institutional memory that could influence future AI development. AI

Thinking Machines Lab, an AI research lab, has introduced a new class of systems called interaction models designed to overcome the limitations of traditional turn-based AI. These models feature a native multimodal architecture that allows for real-time human-AI collaboration, processing audio, video, and text inputs and outputs in continuous 200ms micro-turns. This approach enables the AI to listen, interrupt, and react proactively, moving beyond static chat interfaces to a more dynamic and integrated interaction. AI