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Moderna and Merck reported positive Phase 3 results for personalized mRNA cancer vaccine mRNA-4157 combined with pembrolizumab in high-risk melanoma after surgery. The treatment significantly improved recurrence-free and distant metastasis-free survival versus pembrolizumab alone, though detailed data and overall survival results are still pending.
Tencent's Hunyuan Hy4 has reportedly appeared in the model selection list of the Yuanbao app under an expert-level label and with tool-use capabilities. It is positioned above Hy3 and alongside DeepSeek, following Tencent's recent statement that a larger-parameter Hy4 would launch soon with improved performance and multimodal abilities.
Rising AI server power density is turning cabinet-level Battery Backup Units from an optional component into a required part of data-center power architecture. Global BBU cell shipments reportedly reached about 276 million units in the first half of 2026, intensifying shortages and competition among Asian battery suppliers.
Meta Platforms has reportedly become one of Microsoft’s largest AI customers. The development suggests that demand for emerging AI technology remains heavily concentrated among major technology companies.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
Chery’s AiMOGA Robotics has begun preparing for a potential standalone IPO and is discussing possible listing venues. The company has not selected an exchange or announced a timetable, but says the listing could fund technology investment and overseas expansion.
A position paper analyzing 500 Hugging Face model cards argues that model cards alone do not provide enough information for governing open-weight foundation models. It proposes combining model cards with acceptable use policies and licenses to address safety, provenance, behavior, and enforcement gaps.
The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.
A study found that LLM recommendations could persuade evaluators to reject promising innovations or approve weak ones. Providing narrative explanations made participants more likely to follow incorrect AI decisions, while unexplained recommendations led to better independent judgment.
NVIDIA demonstrates how developers can build real-time edge AI applications with Holoscan using its CLI, skills, documentation, and AI coding agents. The workflow leverages HoloHub’s reference applications and reusable components to help agents assist with development.