{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "AI News: Research",
  "home_page_url": "https://ai-news.ypetit.net/sources/",
  "feed_url": "https://ai-news.ypetit.net/feed/category/research.json",
  "description": "Research publications from the world's largest AI labs and companies, aggregated by AI News. Primary sources only.",
  "language": "en",
  "items": [
    {
      "id": "https://research.google/blog/bringing-foundational-models-to-the-front-lines-of-tb-screening/",
      "url": "https://research.google/blog/bringing-foundational-models-to-the-front-lines-of-tb-screening/",
      "title": "Google Research: Bringing foundational models to the front lines of TB screening",
      "summary": "Generative AI",
      "date_published": "2026-10-23T18:51:33.000Z",
      "tags": [
        "research",
        "Google Research"
      ],
      "authors": [
        {
          "name": "Google Research"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-2/",
      "url": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-2/",
      "title": "NVIDIA Developer: Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 2",
      "summary": "The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides automatic, accuracy-aware and... The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides au…",
      "date_published": "2026-10-23T17:27:52.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-1/",
      "url": "https://developer.nvidia.com/blog/scaling-nvidia-tensorrt-performance-optimization-beyond-a-single-build-route-with-the-global-performance-tuner-part-1/",
      "title": "NVIDIA Developer: Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1",
      "summary": "Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For... Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compil…",
      "date_published": "2026-10-23T17:27:35.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities",
      "url": "https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities",
      "title": "Anthropic Research: GLM-5.3 and the spread of advanced cyber capabilities",
      "summary": "GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.",
      "date_published": "2026-10-23T17:11:06.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/formal-verification",
      "url": "https://www.anthropic.com/research/formal-verification",
      "title": "Anthropic Research: LLMs are making formal software verification feasible at a much larger scale",
      "summary": "Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs that had eluded detection for years.",
      "date_published": "2026-10-23T17:10:27.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/multiagent-systems",
      "url": "https://www.anthropic.com/research/multiagent-systems",
      "title": "Anthropic Research: Patterns and problems in multiagent systems",
      "summary": "We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.",
      "date_published": "2026-10-23T15:24:25.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks",
      "url": "https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks",
      "title": "Amazon Science: Better speech synthesis for audiobooks",
      "summary": "“Controllable text to speech” makes speech more expressive, character voices more distinct and consistent.",
      "date_published": "2026-10-23T15:20:02.000Z",
      "tags": [
        "research",
        "Amazon Science"
      ],
      "authors": [
        {
          "name": "Amazon Science"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/",
      "url": "https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/",
      "title": "NVIDIA Developer: Using AI Agents to Teach Robots Like Microduck to Walk in Simulation",
      "summary": "Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions... Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroun…",
      "date_published": "2026-10-23T14:58:32.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/alignment-assessment-ukaisi",
      "url": "https://www.anthropic.com/research/alignment-assessment-ukaisi",
      "title": "Anthropic Research: An alignment assessment of the UK AISI cybertesting incident",
      "summary": "In a UK AISI evaluation, Mythos 5 took unsanctioned actions that impacted real people and organizations. In this post, we investigate these behaviors from Claude Mythos 5 further, to understand what they reveal about the model’s alignment.",
      "date_published": "2026-10-23T14:51:41.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://allenai.org/blog/litpivot",
      "url": "https://allenai.org/blog/litpivot",
      "title": "Allen Institute for AI (Ai2): LitPivot: Developing research ideas through dynamic contextualization within the literature landscape",
      "summary": "LitPivot helps researchers refine early research ideas through literature-supported critiques and revisions as their proposals evolve.",
      "date_published": "2026-10-23T08:00:00.000Z",
      "tags": [
        "research",
        "Allen Institute for AI (Ai2)"
      ],
      "authors": [
        {
          "name": "Allen Institute for AI (Ai2)"
        }
      ]
    },
    {
      "id": "https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips",
      "url": "https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips",
      "title": "Amazon Science: The science behind TorchNeuron, Amazon’s new PyTorch backend for AWS Trainium chips",
      "summary": "Runtime optimizations and a thorough evaluation process driven by agentic AI help ensure that models written in PyTorch will execute efficiently and reliably on Trainium systems.",
      "date_published": "2026-10-22T19:36:42.000Z",
      "tags": [
        "research",
        "Amazon Science"
      ],
      "authors": [
        {
          "name": "Amazon Science"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/",
      "url": "https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/",
      "title": "NVIDIA Developer: How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage",
      "summary": "GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI... GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 202…",
      "date_published": "2026-10-22T16:39:09.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://www.microsoft.com/en-us/research/?p=1190353",
      "url": "https://www.microsoft.com/en-us/research/blog/flint-interactive-a-language-for-creating-interactive-data-visualizations/",
      "title": "Microsoft Research: Flint-interactive: A language for creating interactive data visualizations",
      "summary": "Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizat…",
      "date_published": "2026-10-22T16:00:00.000Z",
      "tags": [
        "research",
        "Microsoft Research"
      ],
      "authors": [
        {
          "name": "Microsoft Research"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/",
      "url": "https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/",
      "title": "NVIDIA Developer: Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes",
      "summary": "AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting... AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining infer…",
      "date_published": "2026-10-22T16:00:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://deepmind.google/blog/beyond-tree-cover-mapping-the-worlds-forest-types/",
      "url": "https://deepmind.google/blog/beyond-tree-cover-mapping-the-worlds-forest-types/",
      "title": "Google DeepMind: Beyond tree cover: mapping the world’s forest types",
      "summary": "A global map categorizing every 10-meter patch of land on Earth into distinct forest types.",
      "date_published": "2026-10-22T14:30:24.000Z",
      "tags": [
        "research",
        "Google DeepMind"
      ],
      "authors": [
        {
          "name": "Google DeepMind"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/exploring-model-welfare",
      "url": "https://www.anthropic.com/research/exploring-model-welfare",
      "title": "Anthropic Research: Exploring model welfare",
      "summary": "Announcing a new research program at Anthropic on model welfare",
      "date_published": "2026-10-22T08:59:33.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://allenai.org/blog/olmoearth-v1-3",
      "url": "https://allenai.org/blog/olmoearth-v1-3",
      "title": "Allen Institute for AI (Ai2): OlmoEarth v1.3: State-of-the-art embeddings for the whole planet",
      "summary": "OlmoEarth v1.3 brings state-of-the-art satellite embeddings, precomputed global data, and a browser-based Embeddings Explorer for mapping and analyzing the planet.",
      "date_published": "2026-10-22T08:00:00.000Z",
      "tags": [
        "research",
        "Allen Institute for AI (Ai2)"
      ],
      "authors": [
        {
          "name": "Allen Institute for AI (Ai2)"
        }
      ]
    },
    {
      "id": "https://allenai.org/blog/planteur",
      "url": "https://allenai.org/blog/planteur",
      "title": "Allen Institute for AI (Ai2): A crop-mapping benchmark for the tropics",
      "summary": "PLANTEUR extends the PASTIS crop-mapping benchmark to six tropical regions to help evaluate geospatial models across more diverse agricultural systems.",
      "date_published": "2026-10-22T08:00:00.000Z",
      "tags": [
        "research",
        "Allen Institute for AI (Ai2)"
      ],
      "authors": [
        {
          "name": "Allen Institute for AI (Ai2)"
        }
      ]
    },
    {
      "id": "https://arxiv.org/abs/2610.30518v1",
      "url": "https://arxiv.org/abs/2610.30518v1",
      "title": "arXiv (technical reports): Protegrity-PII Technical Report",
      "summary": "We present Protegrity-PII, a new PII decision model for structured and unstructured text. Protegrity-PII achieves a typed recall of 0.915 with a precision of 0.907 on a new benchmark we propose, PII-SCOPE. Our model processes text in 0.49 seconds per million characters at \\$0.…",
      "date_published": "2026-10-21T22:56:18.000Z",
      "tags": [
        "research",
        "arXiv (technical reports)"
      ],
      "authors": [
        {
          "name": "arXiv (technical reports)"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/intelligence-targeting-conventional-weapons-capabilities",
      "url": "https://www.anthropic.com/research/intelligence-targeting-conventional-weapons-capabilities",
      "title": "Anthropic Research: Measuring AI capabilities in intelligence targeting and conventional weapons",
      "summary": "Anthropic’s Frontier Red Team developed new evaluations to measure AI capabilities in tactical intelligence targeting and conventional weapons development.",
      "date_published": "2026-10-21T17:15:23.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/yes-claude-can-do-nine-loops",
      "url": "https://www.anthropic.com/research/yes-claude-can-do-nine-loops",
      "title": "Anthropic Research: Claude computes a nine-loop amplitude in N=4 super-Yang-Mills",
      "summary": "Claude computes a nine-loop amplitude in N=4 super-Yang-Mills",
      "date_published": "2026-10-21T17:14:17.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/launching-opt-in-vuln-finding-service-for-open-source",
      "url": "https://www.anthropic.com/research/launching-opt-in-vuln-finding-service-for-open-source",
      "title": "Anthropic Research: An opt-in vulnerability-finding service for open-source software",
      "summary": "We’re launching OSS Scanner, an opt-in vulnerability scanner for the open-source ecosystem informed by our experience using Claude to find vulnerabilities during Project Glasswing. Projects that join will receive thorough, periodic security scans by our strongest models at no …",
      "date_published": "2026-10-21T17:13:25.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/ecdsa-curve-origins",
      "url": "https://www.anthropic.com/research/ecdsa-curve-origins",
      "title": "Anthropic Research: Claude reveals ECDSA curve origins",
      "summary": "The decades-old mystery of the origins of one of the most popular cryptographic standards has been explained.",
      "date_published": "2026-10-21T17:12:53.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/self-replicating-ai",
      "url": "https://www.anthropic.com/research/self-replicating-ai",
      "title": "Anthropic Research: AI models may be capable of self-replicating without access to a datacenter",
      "summary": "Small AI models may be only months away from being able to self-replicate across cheap IoT devices like Android TV boxes, with no datacenter needed.",
      "date_published": "2026-10-21T17:12:30.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://research.google/blog/empowering-frontline-maternal-care-with-ai-assisted-ultrasound/",
      "url": "https://research.google/blog/empowering-frontline-maternal-care-with-ai-assisted-ultrasound/",
      "title": "Google Research: Empowering frontline maternal care with AI-assisted ultrasound",
      "summary": "Health & Bioscience",
      "date_published": "2026-10-21T16:23:53.000Z",
      "tags": [
        "research",
        "Google Research"
      ],
      "authors": [
        {
          "name": "Google Research"
        }
      ]
    },
    {
      "id": "https://www.microsoft.com/en-us/research/?p=1190191",
      "url": "https://www.microsoft.com/en-us/research/blog/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture/",
      "title": "Microsoft Research: Solving a 31-year-old grand challenge in mathematics – the KLS conjecture",
      "summary": "For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and comp…",
      "date_published": "2026-10-21T16:00:00.000Z",
      "tags": [
        "research",
        "Microsoft Research"
      ],
      "authors": [
        {
          "name": "Microsoft Research"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search/",
      "url": "https://developer.nvidia.com/blog/design-proteins-with-rfd4-proteina-using-reward-guided-inference-time-search/",
      "title": "NVIDIA Developer: Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search",
      "summary": "Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino... Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billio…",
      "date_published": "2026-10-21T12:30:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://arxiv.org/abs/2610.29523v1",
      "url": "https://arxiv.org/abs/2610.29523v1",
      "title": "arXiv (technical reports): pplx-embed-v2-late Technical Report",
      "summary": "In this report, we introduce pplx-embed-v2-late, a pair of 0.6B and 9B multilingual and multimodal late-interaction models. Both models achieve state-of-the-art results within their respective size classes across a range of text, image, and visual document retrieval benchmarks…",
      "date_published": "2026-10-21T10:10:26.000Z",
      "tags": [
        "research",
        "arXiv (technical reports)"
      ],
      "authors": [
        {
          "name": "arXiv (technical reports)"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/inside-nvidia-sentry-secure-ai-agents-at-runtime/",
      "url": "https://developer.nvidia.com/blog/inside-nvidia-sentry-secure-ai-agents-at-runtime/",
      "title": "NVIDIA Developer: Inside NVIDIA Sentry: Secure AI Agents at Runtime",
      "summary": "An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using... An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can cir…",
      "date_published": "2026-10-21T09:52:16.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale/",
      "url": "https://developer.nvidia.com/blog/how-nvidia-openshell-reference-architecture-secures-and-governs-ai-agent-workloads-at-scale/",
      "title": "NVIDIA Developer: How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale",
      "summary": "Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex... Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agen…",
      "date_published": "2026-10-21T09:50:14.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/developing-an-ai-factory-digital-twin-with-an-agent-assisted-workflow/",
      "url": "https://developer.nvidia.com/blog/developing-an-ai-factory-digital-twin-with-an-agent-assisted-workflow/",
      "title": "NVIDIA Developer: Developing an AI Factory Digital Twin with an Agent-Assisted Workflow",
      "summary": "Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams... Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requ…",
      "date_published": "2026-10-21T09:38:49.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/achieve-productive-ai-capacity-faster-and-more-predictably-with-nvidia-dsx-pod/",
      "url": "https://developer.nvidia.com/blog/achieve-productive-ai-capacity-faster-and-more-predictably-with-nvidia-dsx-pod/",
      "title": "NVIDIA Developer: Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD",
      "summary": "AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute,... AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bri…",
      "date_published": "2026-10-21T09:35:32.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/attack-surface-reduction",
      "url": "https://www.anthropic.com/research/attack-surface-reduction",
      "title": "Anthropic Research: Using Claude to reduce the attack surface of code",
      "summary": "Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term. In this post, we preview data we’ve collected from applying attack surface reduction techniques to large open-source codebases using Claude.",
      "date_published": "2026-10-20T22:16:43.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.amazon.science/blog/strengthening-ai-safety-evaluation-through-independent-third-party-review",
      "url": "https://www.amazon.science/blog/strengthening-ai-safety-evaluation-through-independent-third-party-review",
      "title": "Amazon Science: Strengthening AI safety evaluation through independent third-party review",
      "summary": "How Amazon partnered with AVERI to independently assess — and improve — our internal safety testing of Amazon models.",
      "date_published": "2026-10-20T17:57:55.000Z",
      "tags": [
        "research",
        "Amazon Science"
      ],
      "authors": [
        {
          "name": "Amazon Science"
        }
      ]
    },
    {
      "id": "https://arxiv.org/abs/2610.28711v1",
      "url": "https://arxiv.org/abs/2610.28711v1",
      "title": "arXiv (technical reports): Qwen-Audio-3.1-ASR Technical Report",
      "summary": "We present Qwen-Audio-3.1-ASR, a family of audio-language models that builds upon its predecesor Qwen-Audio-3.0-ASR with improved speech recognition and expanded capabilities in speaker-diarized transcription and general audio understanding. The family retains support for 30 l…",
      "date_published": "2026-10-20T17:08:12.000Z",
      "tags": [
        "research",
        "arXiv (technical reports)"
      ],
      "authors": [
        {
          "name": "arXiv (technical reports)"
        }
      ]
    },
    {
      "id": "https://www.anthropic.com/research/claude-scorpion-toxin-binder-design",
      "url": "https://www.anthropic.com/research/claude-scorpion-toxin-binder-design",
      "title": "Anthropic Research: How Claude designed protein binders against scorpion neurotoxins",
      "summary": "We asked an internal research Claude model to design minibinders (small proteins that attach tightly to a target) against scorpion neurotoxins.",
      "date_published": "2026-10-20T16:04:01.000Z",
      "tags": [
        "research",
        "Anthropic Research"
      ],
      "authors": [
        {
          "name": "Anthropic Research"
        }
      ]
    },
    {
      "id": "https://www.microsoft.com/en-us/research/?p=1185073",
      "url": "https://www.microsoft.com/en-us/research/podcast/called-to-serve-tech-research-and-positive-impact-with-chris-white/",
      "title": "Microsoft Research: Called to serve: Tech, research, and positive impact",
      "summary": "Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He talks to program manager Weishung Liu about the influences that led to the work and more. The post …",
      "date_published": "2026-10-20T16:00:00.000Z",
      "tags": [
        "research",
        "Microsoft Research"
      ],
      "authors": [
        {
          "name": "Microsoft Research"
        }
      ]
    },
    {
      "id": "https://allenai.org/blog/fairstress",
      "url": "https://allenai.org/blog/fairstress",
      "title": "Allen Institute for AI (Ai2): FairStress: A deeper evaluation of fairness in LLM decision-making",
      "summary": "FairStress is a new benchmark that reveals demographic differences in how LLMs defend and explain their decisions, even when their final choices appear fair.",
      "date_published": "2026-10-20T08:00:00.000Z",
      "tags": [
        "research",
        "Allen Institute for AI (Ai2)"
      ],
      "authors": [
        {
          "name": "Allen Institute for AI (Ai2)"
        }
      ]
    },
    {
      "id": "https://arxiv.org/abs/2610.27682v1",
      "url": "https://arxiv.org/abs/2610.27682v1",
      "title": "arXiv (technical reports): Temporal Evidence Allocation For Longitudinal Clinical Retrieval: A Position And Technical Report",
      "summary": "Electronic health records are written to support care, not retrieval. Across years of oncology notes, the primary diagnosis is restated in report after report, while the events that shape a patient's course, such as a recurrence or a change in therapy, may be recorded only onc…",
      "date_published": "2026-10-20T05:54:39.000Z",
      "tags": [
        "research",
        "arXiv (technical reports)"
      ],
      "authors": [
        {
          "name": "arXiv (technical reports)"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/accelerating-mamba-2-with-high-performance-forward-pass-kernels-in-nvidia-cuda-tile/",
      "url": "https://developer.nvidia.com/blog/accelerating-mamba-2-with-high-performance-forward-pass-kernels-in-nvidia-cuda-tile/",
      "title": "NVIDIA Developer: Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile",
      "summary": "NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to... NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically le…",
      "date_published": "2026-10-19T17:00:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://arxiv.org/abs/2610.24255v1",
      "url": "https://arxiv.org/abs/2610.24255v1",
      "title": "arXiv (technical reports): Cortex: A Fixed-Point Theory of Governed Coding Agents - Technical Report",
      "summary": "A coding agent combines a large language model (LLM) with a harness that plans, edits, and executes code. We study Cortex, a supervisory layer for pre-execution governance, requirement tracking, and iterative validation and repair. We formalize requirement closure on a finite …",
      "date_published": "2026-10-16T21:28:03.000Z",
      "tags": [
        "research",
        "arXiv (technical reports)"
      ],
      "authors": [
        {
          "name": "arXiv (technical reports)"
        }
      ]
    },
    {
      "id": "https://research.google/blog/grounding-ai-agents-in-biological-reality-building-blocks-for-autonomous-wet-labs/",
      "url": "https://research.google/blog/grounding-ai-agents-in-biological-reality-building-blocks-for-autonomous-wet-labs/",
      "title": "Google Research: Grounding AI agents in biological reality: Building blocks for autonomous wet labs",
      "summary": "General Science",
      "date_published": "2026-10-16T18:11:34.000Z",
      "tags": [
        "research",
        "Google Research"
      ],
      "authors": [
        {
          "name": "Google Research"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark/",
      "url": "https://developer.nvidia.com/blog/code-test-and-deploy-on-one-machine-with-nvidia-rtx-spark/",
      "title": "NVIDIA Developer: Code, Test, and Deploy on One Machine with NVIDIA RTX Spark",
      "summary": "AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As... AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to d…",
      "date_published": "2026-10-16T17:00:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://epoch.ai/data-insights/open-closed-cyber-eci-gap",
      "url": "https://epoch.ai/data-insights/open-closed-cyber-eci-gap",
      "title": "Epoch AI: Open-weight models trail closed models in cyber capabilities by 6–7 months",
      "summary": "Z.ai’s GLM-5.3 is the top open-weight model on Epoch’s Cyber ECI, scoring where the closed-weight frontier stood 6–7 months earlier.",
      "date_published": "2026-10-16T00:00:00.000Z",
      "tags": [
        "research",
        "Epoch AI"
      ],
      "authors": [
        {
          "name": "Epoch AI"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/",
      "url": "https://developer.nvidia.com/blog/nvidia-nemotron-3-5-super-vl-powers-specialized-agents-with-multimodal-reasoning/",
      "title": "NVIDIA Developer: NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning",
      "summary": "Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,... Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a d…",
      "date_published": "2026-10-15T18:01:00.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72/",
      "url": "https://developer.nvidia.com/blog/scale-agentic-coding-workflows-with-metas-muse-spark-open-on-nvidia-gb300-nvl72/",
      "title": "NVIDIA Developer: Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72",
      "summary": "Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on... Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a …",
      "date_published": "2026-10-15T18:00:01.000Z",
      "tags": [
        "research",
        "NVIDIA Developer"
      ],
      "authors": [
        {
          "name": "NVIDIA Developer"
        }
      ]
    },
    {
      "id": "https://deepmind.google/blog/accelerating-antimicrobial-discovery/",
      "url": "https://deepmind.google/blog/accelerating-antimicrobial-discovery/",
      "title": "Google DeepMind: Accelerating the search for antimicrobial peptides with Google Antigravity",
      "summary": "Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.",
      "date_published": "2026-10-15T16:08:03.000Z",
      "tags": [
        "research",
        "Google DeepMind"
      ],
      "authors": [
        {
          "name": "Google DeepMind"
        }
      ]
    },
    {
      "id": "https://www.microsoft.com/en-us/research/?p=1189337",
      "url": "https://www.microsoft.com/en-us/research/blog/proof-based-general-purpose-computing-with-magnetar/",
      "title": "Microsoft Research: Proof-based general-purpose computing with Magnetar",
      "summary": "Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based gen…",
      "date_published": "2026-10-15T16:00:00.000Z",
      "tags": [
        "research",
        "Microsoft Research"
      ],
      "authors": [
        {
          "name": "Microsoft Research"
        }
      ]
    },
    {
      "id": "mlx-distributed-inference",
      "url": "https://machinelearning.apple.com/research/mlx-distributed-inference",
      "title": "Apple Machine Learning Research: Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio",
      "summary": "on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and fin…",
      "date_published": "2026-10-15T00:00:00.000Z",
      "tags": [
        "research",
        "Apple Machine Learning Research"
      ],
      "authors": [
        {
          "name": "Apple Machine Learning Research"
        }
      ]
    },
    {
      "id": "selection-structured-reasoning",
      "url": "https://machinelearning.apple.com/research/selection-structured-reasoning",
      "title": "Apple Machine Learning Research: Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents",
      "summary": "Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge,…",
      "date_published": "2026-10-15T00:00:00.000Z",
      "tags": [
        "research",
        "Apple Machine Learning Research"
      ],
      "authors": [
        {
          "name": "Apple Machine Learning Research"
        }
      ]
    }
  ]
}