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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · Fortune English(EN) ·

    Australia’s richest person just bought a SpaceX stake worth more than $1 billion. ‘Elon has done what very few people in history have done’

    Australia's richest person, Gina Rinehart, has acquired a stake in SpaceX valued at over $1 billion. Rinehart, chairwoman of Hancock Prospecting, expressed admiration for Elon Musk's vision and SpaceX's integrated approach to space, connectivity, and AI. This significant investment marks Hancock Prospecting's largest venture outside of iron ore, with potential synergies identified between SpaceX and the company's critical minerals holdings. AI

    Australia’s richest person just bought a SpaceX stake worth more than $1 billion. ‘Elon has done what very few people in history have done’

    IMPACT Confirms strong investor confidence in integrated AI and space technology companies.

  2. RESEARCH · arXiv stat.ML English(EN) · · [2 sources]

    The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling

    Researchers have developed a novel coordinate system called the Reverse Telescoping Coordinate System for representing symmetric positive definite (SPD) matrices. This system allows for computations involving matrices and their inverses to be performed more efficiently in a transformed domain, reducing the cost from O(p^3) to O(p^2). The new method also facilitates generative modeling by enabling split volume-shape flow models and has been applied to tasks such as generating brain connectivity networks from fMRI data. AI

    IMPACT This new coordinate system could streamline generative modeling for complex data structures like brain connectivity networks.

  3. RESEARCH · arXiv cs.CV English(EN) · · [2 sources]

    An Uncertainty Estimation Framework for Dose Accumulation in Adaptive Radiotherapy: Application to CBCT-Guided Radiotherapy for Cervical Cancer

    Researchers have developed IMPACT-DoseAcc, a new framework for estimating cumulative radiation dose in adaptive radiotherapy (ART) for cervical cancer. This system quantifies uncertainties arising from image registration and segmentation, providing probabilistic dose-volume histograms. The framework demonstrated strong correlation between registration uncertainty and geometric error, achieving high coverage for target volumes and stabilizing dose estimates. AI

    IMPACT Improves interpretation of cumulative dose in ART, supporting more reproducible and uncertainty-informed treatment workflows.

  4. TOOL · arXiv cs.LG English(EN) ·

    Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification

    Researchers have developed a new algorithm called ADAP for optimizing inference-time pipelines in language models. This method is designed for scenarios where a cheap reward signal is used alongside a more expensive verification process, such as checking mathematical solutions or executing code. ADAP adaptively increases the number of sampled responses and verifications to find a positive example efficiently, outperforming fixed or difficulty-adaptive baselines in experiments. AI

    IMPACT Optimizes inference efficiency for complex language model tasks like code generation and mathematical reasoning.

  5. COMMENTARY · Fortune English(EN) ·

    While investors await the SpaceX IPO, these space stocks are already public, building an economy in Earth orbit—and beyond

    The space economy is expanding beyond SpaceX, with numerous publicly traded companies involved in various sectors like rocket launches, satellite development, and space-based services. Companies such as Rocket Lab, Virgin Galactic, and Firefly Aerospace are developing rockets and spacecraft, while others like AST SpaceMobile and Planet Labs are focused on satellite constellations for communication and data provision. Established aerospace giants like Boeing and Lockheed Martin, with decades of experience, also maintain significant roles through joint ventures and critical space program contributions. AI

    While investors await the SpaceX IPO, these space stocks are already public, building an economy in Earth orbit—and beyond
  6. TOOL · Mastodon — fosstodon.org 日本語(JA) · · [2 sources]

    Adobe Doubles Premiere AI Processing Speed with RTX, Expands Collaboration with NVIDIA – PC Watch

    Adobe is accelerating AI processing in its Premiere video editing software by doubling its speed with NVIDIA's RTX technology. This enhancement is part of an expanded collaboration between Adobe and NVIDIA. The improved performance is expected to significantly benefit video professionals by speeding up AI-driven tasks within Premiere Pro. AI

    Adobe Doubles Premiere AI Processing Speed with RTX, Expands Collaboration with NVIDIA – PC Watch

    IMPACT Accelerates AI-powered video editing workflows, potentially improving efficiency for creative professionals.

  7. TOOL · arXiv cs.LG English(EN) ·

    ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration

    Researchers have developed ADAPT, a novel self-calibrating autoscaler designed for container orchestration systems. This system uses an online EWMA estimator to dynamically track and adapt to varying cold-start durations, which are critical for proactive scaling. By feeding this measured provisioning delay into a Model Predictive Controller, ADAPT optimizes replica counts and aims to minimize SLA violations, outperforming existing methods in evaluations. AI

    ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration

    IMPACT Improves efficiency and reliability of containerized AI workloads by optimizing resource allocation.

  8. TOOL · arXiv cs.AI English(EN) ·

    Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report

    The SynthRAD2025 challenge report details advancements in generating synthetic computed tomography (sCT) images for radiotherapy planning. This year's challenge focused on converting MRI or cone-beam CT (CBCT) into CT-equivalent images, with methods evaluated on over 2,300 patient cases across different body regions. While deep learning models showed significant improvements, particularly for CBCT-to-CT conversion, challenges remain in MRI-to-CT accuracy, especially for dose-based validation. AI

    Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report

    IMPACT AI-driven synthetic CT generation shows promise for improving radiotherapy planning and reducing patient exposure, though dose-based validation remains a key area for development.

  9. TOOL · arXiv cs.CV English(EN) ·

    H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows

    Researchers have developed H3D-MarNet, a novel two-stage framework designed to improve CT image quality for radiotherapy. The system first suppresses metal artifacts using wavelet-based denoising and then transforms kilo-voltage CT (kVCT) images to mega-voltage CT (MVCT) using a hybrid CNN and transformer architecture. This approach aims to enhance diagnostic accuracy and radiotherapy planning by preserving anatomical details and ensuring spatial coherence across slices, demonstrating significant improvements in PSNR and SSIM metrics. AI

    H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows

    IMPACT Improves medical imaging analysis for radiotherapy, potentially leading to more accurate cancer treatment planning.

  10. RESEARCH · Mastodon — mastodon.social English(EN) · · [2 sources]

    🧠 Unsloth and Nvidia implement optimizations that increase LLM training speed by 25 percent on consumer-grade GPUs. The improvements reduce computational overhe

    Unsloth has collaborated with NVIDIA to enhance the speed of Large Language Model (LLM) training by approximately 25%. These optimizations, which do not compromise accuracy, involve techniques like caching packed sequence metadata and employing double-buffered asynchronous gradient checkpointing. The improvements are automatically enabled on NVIDIA's RTX, data center GPUs, and DGX Spark machines, requiring only an update to the Unsloth library. AI

    🧠 Unsloth and Nvidia implement optimizations that increase LLM training speed by 25 percent on consumer-grade GPUs. The improvements reduce computational overhe

    IMPACT Accelerates LLM training efficiency, potentially lowering compute costs and enabling faster iteration on model development.

  11. COMMENTARY · dev.to — Claude Code tag English(EN) · · [2 sources]

    XLI options hit a 5.32 put/call ratio. Here is what our scanner found — and why I did not trade on it.

    The author details their experience using AI-powered trading tools, specifically the Claude Code skills, over a week. They analyze four key trading signals, identifying correct and incorrect decisions based on price action versus AI-generated indicators. One instance involved a stop-loss trigger on a stock (TEM) that was correct for price but not for the underlying options signal, leading to a workflow adjustment. Another signal for XLI showed institutional hedging, which the author correctly identified but chose not to trade on due to a rule about single data points, later regretting not reducing exposure to related assets. AI

    XLI options hit a 5.32 put/call ratio. Here is what our scanner found — and why I did not trade on it.

    IMPACT Personal reflection on AI trading tools offers limited industry-wide impact, primarily serving as a case study for individual application.

  12. TOOL · Mastodon — mastodon.social English(EN) · · [4 sources]

    📰 Unreal Engine NNE Inference 2026: Speed Up by 5x with NVIDIA TensorRT for RTX NVIDIA TensorRT for RTX delivers dramatic speed improvements for Unreal Engine N

    NVIDIA has introduced TensorRT for RTX, a technology designed to accelerate Neural Network Engine (NNE) inference within Unreal Engine by up to five times. This advancement aims to significantly reduce latency for real-time AI applications on consumer-grade RTX GPUs without requiring manual optimization. Separately, Microsoft CEO Satya Nadella has stated that AI success in 2026 will be measured by intense user engagement rather than the number of seats or devices adopted, emphasizing cultural transformation and strategic investment. AI

    📰 Unreal Engine NNE Inference 2026: Speed Up by 5x with NVIDIA TensorRT for RTX NVIDIA TensorRT for RTX delivers dramatic speed improvements for Unreal Engine N

    IMPACT Optimizes real-time AI inference in game development, potentially enabling more complex and responsive in-game AI experiences.

  13. RESEARCH · arXiv cs.CL English(EN) ·

    Mapping the maturation of TCM as an adjuvant to radiotherapy

    A new paper analyzes 69,745 publications from 2000-2025 on Traditional Chinese Medicine (TCM) as an adjuvant to radiotherapy. The research reveals a cyclical evolution in the field, characterized by periods of expansion and contraction in research output, international collaboration, and funding. Five dominant thematic axes—cancer types, supportive care, clinical endpoints, mechanisms, and methodology—indicate a focus on patient well-being and scientific rigor. The study suggests the field has matured its current research agenda and may be on the verge of new developments, while also noting a consistent positive reporting bias. AI

    Mapping the maturation of TCM as an adjuvant to radiotherapy

    IMPACT This analysis of research trends in integrated oncology may inform future research directions and funding priorities.

  14. RESEARCH · Mastodon — mastodon.social Čeština(CS) ·

    Pravda Network — a large-scale Russian information manipulation ecosystem The network focuses on manipulating AI and language models. It uses platforms in particular to spread propaganda

    A sophisticated Russian disinformation network known as Pravda has significantly expanded its operations, utilizing 87 subdomains tailored to various languages and regions. The network's primary strategy involves flooding digital ecosystems with content to manipulate artificial intelligence and language models, rather than directly influencing human audiences. This approach, which prioritizes content volume over quality, has seen a sharp increase in published articles, particularly between 2023 and 2024, with Telegram serving as the main distribution channel for up to 75% of its material. AI

    Pravda Network — a large-scale Russian information manipulation ecosystem The network focuses on manipulating AI and language models. It uses platforms in particular to spread propaganda

    IMPACT This network's strategy of manipulating AI models highlights a new frontier in disinformation warfare, potentially impacting AI safety and reliability.