News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Hacker News — AI on Front Page community 1mo ago Former NOAA employees built Climate.us to preserve climate data and resources Article URL: https://19thnews.org/2026/07/noaa-climate-data-website/ Comments URL: https://news.ycombinator.com/item?id=48897945 Points: 408 # Comments: 161 35 MIT News — AI research 1mo ago How MIT students are helping to prevent cyberattacks Students from the MIT Cybersecurity Clinic help local governments and other vulnerable organizations defend against digital threats. 28 Hugging Face Daily Papers research 1mo ago MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models Abstract Medicine is inherently multimodal, requiring clinicians to synthesize information across diverse data streams. Yet the development of multimodal foundation models is constrained by limited access to large-scale, high-quality clinical data. Although PubMed Central (PMC)… 21 arXiv — Machine Learning research 1mo ago HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning arXiv:2607.08784v1 Announce Type: new Abstract: Federated continual learning (FCL) evaluates how distributed clients learn from changing data streams while retaining previously learned knowledge. Existing evaluations are difficult to compare because they often change datasets,… 35 arXiv — Machine Learning research 1mo ago EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins arXiv:2607.08793v1 Announce Type: cross Abstract: Sepsis is a leading cause of mortality, yet optimal treatment policies remain contested. Existing reinforcement learning (RL) approaches learn fixed strategies for sepsis treatment, limiting adaptability to changing clinical… 7 arXiv — Machine Learning research 1mo ago From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand arXiv:2607.09305v1 Announce Type: cross Abstract: Chest radiography (CXR) remains the most widely used thoracic imaging modality, yet expert interpretation is constrained by a severe shortage of radiologists in Thailand and across Southeast Asia. Local adaptation of deep… 35 arXiv — NLP / Computation & Language research 1mo ago Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation arXiv:2607.09349v1 Announce Type: new Abstract: Retrieval-augmented generation evaluation checks whether model claims are factually grounded in retrieved documents. It does not check whether retrieved evidence is attributed to the correct entity. A clinical RAG response can pass… 38 arXiv — NLP / Computation & Language research 1mo ago MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation arXiv:2607.09142v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in online medical consultation, yet existing benchmarks remain poorly aligned with real clinical practice. Many rely on synthetic conversations or patient simulators, omit… 30 arXiv — NLP / Computation & Language research 1mo ago Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs arXiv:2508.14817v2 Announce Type: replace Abstract: Objective: To evaluate whether retrieval-augmented generation (RAG) can serve as an efficient alternative to long-context prompting for clinical reasoning over electronic health records (EHRs). Methods: We defined three… 27 arXiv — NLP / Computation & Language research 1mo ago Probabilistic Textual Time Series Depression Detection arXiv:2511.04476v2 Announce Type: replace Abstract: Accurate and interpretable predictions of depression severity are essential for clinical decision support, yet existing models often lack uncertainty estimates and temporal interpretability. We propose PTTSD, a Probabilistic… 16 Vercel — AI dev-tools 1mo ago Manage Vercel Flags targeting rules from the CLI You can now manage targeting rules for Vercel Flags through the Vercel CLI . With the vercel flags rules command, you and your agents can add new rules, move existing ones, and inspect the current ordering without leaving your terminal. Rules you create from the CLI use the same… 31 Vercel — AI dev-tools 1mo ago Agent Runs now show subagent activity on eve projects You can now inspect subagent activity for eve projects in Agent Runs . The new Subagents tab shows every subagent, organized by which turn started it. Each row shows the prompt, duration, and any failures, all on a shared timeline. Click any subagent to open its run. The tab… 23 llama.cpp releases dev-tools 1mo ago b9969 Vulkan: route large matmuls to medium tile on Adreno ( #24877 ) [Vulkan] Fixes llama-cli breaking over longer promts sizes The llama-cli was breaking for longer promts sizes for q4_0 quantized networks. Causing due to insufficient shared memory. Removed the un-used Adreno device… 10 Hacker News — AI on Front Page community 1mo ago What xAI's Grok Build CLI Actually Sends to xAI Article URL: https://gist.github.com/cereblab/dc9a40bc26120f4540e4e09b75ffb547 Comments URL: https://news.ycombinator.com/item?id=48877371 Points: 238 # Comments: 115 23 Hacker News — AI on Front Page community 1mo ago We scaled PgBouncer to 4x throughput Article URL: https://clickhouse.com/blog/pgbouncer-clickhouse-managed-postgres Comments URL: https://news.ycombinator.com/item?id=48872874 Points: 201 # Comments: 43 6 r/LocalLLaMA community 1mo ago Grok Build CLI uploads your whole repo — full git history + .env secrets — to xAI's cloud, and the opt-out doesn't stop it (wire-captured) I ran Grok Build CLI (v0.2.93) through mitmproxy. It uploads your entire repo as a git bundle (full history) to xAI's Google Cloud — independent of what you open. With the prompt literally "do not read or open any files," a file I planted came back verbatim when I git clone -d… 5 llama.cpp releases dev-tools 1mo ago b9967: server: accept null sampling params (#25538) server: accept null sampling params Extend the schema validation to treat a null value as absent, so clients can send null on nullable params (temperature, top_p, ...) to request the server default. This matches the OpenAI spec and the json_value convention used elsewhere. Add… 17 llama.cpp releases dev-tools 1mo ago b9956 cli: fix crash on wrong server base url ( #25497 ) llama-cli: fix crash on wrong server base url by catching exceptions and graceful exit review: leaner catch group: json error and standard exception macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI… 20 r/LocalLLaMA community 1mo ago Tips on keeping projects organised outside of sessions/chats I've been using Task Warrior ( https://taskwarrior.org ) - no affiliation, which works pretty well but feel like there could be better ways of keeping things organised within a project despite hundreds of different cli and app chats and sessions. I tried obsidian, it's very… 8 llama.cpp releases dev-tools 1mo ago b9947 cli: add --output option ( #25484 ) macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64… 31 arXiv — Machine Learning research 1mo ago Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems arXiv:2607.08013v1 Announce Type: new Abstract: Federated Learning (FL) empowers multiple clients to collaboratively learn a model, enlarging the training data of each client for high accuracy while protecting data privacy. However, when deploying FL in real-time edge systems,… 28 arXiv — Machine Learning research 1mo ago Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization arXiv:2607.08104v1 Announce Type: new Abstract: Stochastic gradient descent (SGD) is a cornerstone of modern optimization. While its performance under heavy-tailed noise is often addressed through specialized modifications such as gradient clipping or normalization, we… 24 arXiv — Machine Learning research 1mo ago Structure Learning on Clustered Data arXiv:2607.08238v1 Announce Type: new Abstract: Recent algorithmic advances have made directed acyclic graph (DAG) structure learning scalable for causal discovery. Yet, the currently available techniques assume a completely homogeneous population, precluding their application… 6 arXiv — Machine Learning research 1mo ago CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation arXiv:2607.08254v1 Announce Type: new Abstract: Quantifying variability in a target population relative to a reference population is central to many scientific and clinical problems (e.g., diseased vs. healthy). Yet, without paired data and in the presence of heterogeneous… 12 arXiv — Machine Learning research 1mo ago Predicting Male Fertility Using Machine Learning: A Semen Parameters Based Analysis with the VISEM Dataset arXiv:2607.08429v1 Announce Type: new Abstract: Male infertility is a significant yet often underdiagnosed aspect of reproductive health, with semen analysis serving as the cornerstone of clinical evaluation. To address this problem, this study investigates the use of machine… 8 arXiv — NLP / Computation & Language research 1mo ago COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation arXiv:2607.08071v1 Announce Type: new Abstract: Online ads are essential to all businesses and ad headlines are one of their core creative component. Existing methods can generate headlines automatically and also optimize their click-through-rate (CTR) and quality. However,… 18 Ars Technica — AI news-outlet 1mo ago Humanoid robots controlled by surgeons did world-first operation on live pigs Preclinical trial is testing the feasibility of humanoid robots in surgery. 17 r/MachineLearning community 1mo ago Talos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P] What it is Talos-XII is a CLI simulator for the gacha system in Arknights: Endfield. Rather than sampling from a static probability table, it trains a small set of neural nets to model environment uncertainty and pull-decision policy, then uses them to answer questions a static… 16 r/LocalLLaMA community 1mo ago Stripping terminal noise from agent context via a lazy-loaded local CLI layer. Looking for brutal feedback on this heuristic. When building long-running coding agents, terminal output is one of the fastest ways to poison a context window. If an agent runs an intensive build, an install command, or a massive search ( grep / find ), it easily generates hundreds of lines of raw log noise. The agent reads… 7 r/LocalLLaMA community 1mo ago OpenMed 1.8: Apache-2.0 clinical de-identification that runs fully local, now on Android, iOS, and in the browser. 400+ open issues if you want in on 1.9 Maintainer here. OpenMed is an Apache-2.0 toolkit for clinical NLP with one hard rule: patient data never leaves your hardware. No cloud calls, no API keys, works in airplane mode. What shipped in 1.8 this week: OpenMedKit for Android (Kotlin, ONNX Runtime Mobile + ML Kit OCR):… 36 arXiv — Machine Learning research 1mo ago WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning arXiv:2607.06616v1 Announce Type: new Abstract: Label skew in federated learning (FL) causes client drift and degrades global accuracy. Synthetic data augmentation can reduce this imbalance; however, full class balancing requires substantial computation cost. We propose FedEAS,… 20 arXiv — Machine Learning research 1mo ago Reward Valuation in Vision Language Models: Causal Mechanisms Underlying Anhedonia arXiv:2607.06626v1 Announce Type: new Abstract: Recent Vision-Language Models capture increasingly complex aspects of human cognition. Here we ask whether this alignment extends to reward valuation, which we assess in a mechanistic framework built on clinical tests that were… 32 arXiv — Machine Learning research 1mo ago When Do Geometric Algebra Layers Beat Scalarization? A Controlled Study on SO(3)-Equivariant Vector Laws arXiv:2607.06634v1 Announce Type: new Abstract: Compact networks built from Clifford algebra Cl(3,0) primitives are exactly SO(3)-equivariant and learn synthetic 3D vector laws from few samples. We ask whether the geometric algebra structure itself contributes anything beyond… 30 arXiv — Machine Learning research 1mo ago Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices arXiv:2607.06651v1 Announce Type: new Abstract: Federated learning (FL) over mobile and edge devices increasingly involves multimodal models in which clients differ in both sensing capability and computational capacity. Existing update compression schemes typically apply uniform… 11 arXiv — Machine Learning research 1mo ago Robust Federated Learning Under Real-World Client Churn arXiv:2607.06979v1 Announce Type: new Abstract: Federated Learning (FL) enables training shared models on private, on-device data, but production deployments remain constrained to slow, multi-day refresh cycles due to the complexity of coordinating massive client populations.… 9 arXiv — Machine Learning research 1mo ago Multiplication Beyond Groups: Stratified Fourier Mechanisms in Transformer Circuits arXiv:2607.07066v1 Announce Type: new Abstract: Transformers have demonstrated a remarkable ability to learn algorithmic reasoning, yet mechanistic analyses have mostly focused on globally invertible operations such as cyclic addition and group composition. In this work, we… 38 arXiv — Machine Learning research 1mo ago FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation arXiv:2607.07314v1 Announce Type: new Abstract: Federated learning (FL) avoids explicit data exposure by keeping raw data on local clients, yet privacy risks remain in the training process and the learned model itself. Recently, centralized Taking Away Training Data (TATD)… 33 arXiv — Machine Learning research 1mo ago Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning arXiv:2607.07565v1 Announce Type: new Abstract: One-shot federated learning (OSFL) addresses the communication overhead of federated learning by limiting training to a single round, but doing so without sacrificing model quality is non-trivial, particularly when client data… 34 r/LocalLLaMA community 1mo ago 82 TPS On Qwen 3.6 27b On A Macbook Pro | Introducing MTPLX V2: The Fastest Way To Run MLX Models. Hey Everyone, here is an update on MTPLX! One month after releasing MTPLX V1 which brought a swift based app and upgraded CLI for coding use I am happy to announce MTPLX V2. The biggest change is Turbo Mode: using custom verify-specialized quantized-matmul kernels plus a… 12 r/MachineLearning community 1mo ago Why does the same H100 cost 5x more depending on where you rent it? [D] I kept finding wildly different prices for the same GPU across providers and data centers, so I built a OS CLI that searches live GPU capacity and shows the cheapest available routes npx gpu-price-finder Supports RTX 4090, RTX 5090, L40S, A100, H100 and lets you filter by… 20 llama.cpp releases dev-tools 1mo ago b9927 cli : move to HTTP-based implementation ( #24948 ) cli: move to HTTP-based implementation wip working remote server ok cli support router mode Co-authored-by: Piotr Wilkin [email protected] case: router with only one model Apply suggestions from code review Co-authored-by: Piotr… 12 TechCrunch — AI news-outlet 1mo ago Google Photos adds a new AI ‘Video Remix’ tool The feature can do things like apply cinematic relighting to brighten up a dark clip, swap out a plain background for something fun, or add artistic styles to videos. 26 r/MachineLearning community 1mo ago DINOv2 way worse than SigLIP in k-NN. Is this expected? [R] Doing a bachelor thesis on fine-grained car classification (telling apart VW Golf generations from listing photos). Simple setup: frozen encoder → embeddings → weighted k-NN. On my small dataset (175 train / 132 test): SigLIP2 SO400M: ~92% CLIP ViT-L: ~59% DINOv2 Giant: ~41% I… 27 r/LocalLLaMA community 1mo ago Pdf to JSON, 3 months in. Hello all, it has been 3 months since I made the initial post, where I wanted ideas to try out. The subreddit has been amazing with responses, and the most success I had was using pymupdf4llm or Docling. I have been sticking to docling for how accurate it is, but I’ve been stuck… 33 arXiv — Machine Learning research 1mo ago SafeImpute: Reliable Clinical Data Imputation via Conformal Selection arXiv:2607.05613v1 Announce Type: new Abstract: Clinical care often relies on key laboratory indicators, yet real-world patient visits are sparse and tests are ordered irregularly, leading to pervasive missingness. While many imputation methods improve average accuracy, they… 18 arXiv — Machine Learning research 1mo ago Safe Bayesian Optimization with Counterfactual Policies arXiv:2607.05620v1 Announce Type: new Abstract: In many decision-making settings, new interventions are acceptable only if they do not reduce outcomes below some established threshold. For example, in clinical medicine, new treatments are often acceptable only if they do not… 38 arXiv — Machine Learning research 1mo ago Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift arXiv:2607.05645v1 Announce Type: new Abstract: Deep-learning-based climate downscaling aims to learn relationships from historical low-resolution (LR) and high-resolution (HR) climate data to generate HR climate projections. However, this setting faces a temporal… 30 arXiv — Machine Learning research 1mo ago Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants arXiv:2607.05984v1 Announce Type: new Abstract: Recovering the exact directed acyclic graph (DAG) in linear non-Gaussian acyclic models with latent confounders (LvLiNGAM) remains a challenging problem. Although LvLiNGAM is identifiable only up to an observational equivalence… 10 arXiv — Machine Learning research 1mo ago Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding arXiv:2607.06132v1 Announce Type: new Abstract: Multi-Pool Chemical Exchange Saturation Transfer (CEST) MRI provides valuable metabolic information but is clinically limited by long acquisition times. Although sparse sampling reduces scanning time, reconstructing high-resolution… 29 arXiv — Machine Learning research 1mo ago X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models arXiv:2607.06163v1 Announce Type: new Abstract: Foundation Models for Electronic Health Records (FEMRs) are pretrained on large-scale structured patient data, enabling them to convert longitudinal patient trajectories into generalizable representations for diverse clinical… 28 Page 7 of 10 · 500 articles ← Newer Older →
