News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Vercel — AI dev-tools 5d ago Chat SDK now supports Slack Enterprise Grid Chat SDK's Slack adapter now supports Slack Enterprise Grid . Bots installed org-wide work across every workspace, with correct token resolution, tenant-scoped caches, and event retry deduplication. The adapter now stores org-wide installations by enterprise ID. This matches how… 29 Vercel — AI dev-tools 5d ago Wan 3.0 now available on AI Gateway Wan 3.0 from Alibaba is now available on AI Gateway as alibaba/wan-v3.0-video . One model covers text to video, image to video, first and last frame conditioning, and reference-based generation, and it takes image, video, and audio as references. Clips run up to 30 seconds at… 29 The Information — AI news-outlet 5d ago Shein Expects IPO Valuation of $26 Billion Fast fashion company Shein expects to go public at a valuation of around $26 billion, the company said in a filing with the Hong Kong Stock Exchange. That would be a sharp decline from the $80 billion to $90 billion valuation it was hoping for three years ago. That decline… 10 arXiv — Machine Learning research 6d ago FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space arXiv:2608.21096v1 Announce Type: new Abstract: Federated learning enables privacy-preserving collaborative training, but highly heterogeneous client data remain challenging, especially in graph federated learning where clients possess structurally diverse graphs. Existing… 11 arXiv — Machine Learning research 6d ago Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning arXiv:2608.21147v1 Announce Type: new Abstract: The cyclic structure of physiological processes offers a natural prior for self-supervised representation learning, and the cardiac cycle provides a particularly well-defined setting in which to exploit it. We derive a… 24 arXiv — Machine Learning research 6d ago A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives arXiv:2608.21186v1 Announce Type: new Abstract: Surgical procedures such as laparoscopic appendectomy are complex, high-stakes processes, yet formalizing their workflows for decision support remains a significant challenge. Inducing probabilistic planning domain models in this… 13 arXiv — Machine Learning research 6d ago Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness arXiv:2608.21207v1 Announce Type: new Abstract: Imputing physiological time series (arterial blood pressure, blood glucose, etc.) is essential for addressing the missingness that pervades clinical data. Yet modern imputation methods perform poorly in this domain: a recent… 23 arXiv — Machine Learning research 6d ago Time-Aware Tranformer-Based Prediction Model for AECOPD arXiv:2608.21324v1 Announce Type: new Abstract: The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) makes it critical to have time-sensitive prediction models. However, most current machine learning models studying AECOPD use clinical… 23 arXiv — Machine Learning research 6d ago Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking arXiv:2608.20366v1 Announce Type: cross Abstract: Molecular docking requires reasoning jointly about ligand pose and protein flexibility. Most diffusion-based docking models predict torsional updates with generic Euclidean heads that ignore the periodic geometry of angular… 18 arXiv — Machine Learning research 6d ago Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound arXiv:2608.20557v1 Announce Type: cross Abstract: Domain shift across clinical centers using different imaging hardware or acquisition protocols remains a fundamental barrier to deploying deep learning models for prostate cancer (PCa) detection. Existing test-time adaptation… 14 arXiv — NLP / Computation & Language research 6d ago When Vocabulary Comprehension Fails Clinical Reasoning: Evaluating Therapy Bots' Safety Risks for Generation Alpha arXiv:2608.20345v1 Announce Type: new Abstract: Conversational AI systems have become informal mental health support resources for Generation Alpha (Gen Alpha, born 2010-2024), with 13.1% of U.S. adolescents (5.4 million) using generative AI for mental health advice. While these… 5 arXiv — NLP / Computation & Language research 6d ago Inhibitory Attention for Clinical Long-Context Reasoning: Characterizing and Mitigating Lost-in-the-Middle Effects in EHR Processing arXiv:2608.20348v1 Announce Type: new Abstract: Electronic health records now routinely exceed 100,000 tokens per patient. Yet large language models exhibit the lost-in-the-middle (LitM) effect: information near the center of a long context is retrieved less reliably than… 19 arXiv — NLP / Computation & Language research 6d ago ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora arXiv:2608.20369v1 Announce Type: new Abstract: Structured reporting converts free-text radiology narratives into queryable data keys, facilitating cohort assembly, longitudinal tracking, and training label generation for medical AI. The prevailing paradigm follows a two-stage… 17 arXiv — NLP / Computation & Language research 6d ago An ambiguity taxonomy for evaluating large language model performance on clinical registry abstraction: a multi-site prospective study arXiv:2608.20373v1 Announce Type: new Abstract: Objective: To evaluate large language model (LLM) performance on unprocessed electronic medical record (EMR) data for clinical registry abstraction. Methods: We evaluated LLM performance answering registry questions for the… 18 arXiv — NLP / Computation & Language research 6d ago KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs arXiv:2608.20887v1 Announce Type: new Abstract: Automatic Medical Coding (AMC), which assigns standardized International Classification of Diseases (ICD) codes to clinical notes, is essential for medical reimbursement, quality reporting, and clinical research. Existing… 20 arXiv — NLP / Computation & Language research 6d ago Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images arXiv:2608.20868v1 Announce Type: cross Abstract: Document processing pipelines traditionally cascade optical character recognition (OCR) engines with downstream models for structured information extraction, leading to multi-stage error propagation. We fine-tune SmolDocling, a… 5 r/MachineLearning community 6d ago When an AI agent says “done” how do you know it actually happened? [P] i’m testing an early concept called agentuptime. there’s no product or sdk yet. the idea came from something that keeps bothering me with agents: an agent saying “done” doesn’t necessarily mean the thing actually happened. a tool can return success, the trace can look fine, and… 10 r/LocalLLaMA community 7d ago Best harness for Qwen 3.8 27b ? I’ve tried Open Code , Codex and Qwen Code and so far Qwen Code seems to work the best for me , the only complaint I have about it is that the CLI interface is a bit rough / sloppy .   submitted by   /u/HelloWorld-Print [link]   [comments] 35 r/LocalLLaMA community 7d ago I fine tuned Gemma 4 12B for a 2.7x improvement on tool calling because I can't fit anything else comfortably into my 16 GBs of Vram Gemma 12B is obviously a very well trained model, I always thought the fine tuning they did on it wasn't really cut out for agentic coding. From my own experiences it struggles to use the tools it's given from Github Copilot and is also very inept at the cli too. So I thought… 21 Simon Willison community 7d ago llm 0.33 Release: llm 0.33 My highlights from this release: Upgraded to the OpenAI Python library 3.x and switched the HTTP client dependency from httpx to httpx2 . #1608 , #1631 I shipped a quick 0.32.1 fix for this yesterday, but this is the more comprehensive fix. llm embed and llm… 38 Hacker News — AI on Front Page community 8d ago Stalking the Wily Hacker: 40 years later – Cliff Stoll [video] Article URL: https://www.youtube.com/watch?v=656058JxTM0 Comments URL: https://news.ycombinator.com/item?id=49395802 Points: 216 # Comments: 71 16 r/MachineLearning community 8d ago repo2nb 0.2.0, convert a GitHub repo into a Kaggle/Colab notebook (dependency resolution, reverse mode, incremental sync) [P] repo2nb is an open-source CLI that converts a GitHub repo into a runnable Kaggle or Colab notebook: walks the file tree, resolves dependencies, and generates cells, instead of you doing that by hand for a repo you didn't write (a paper's code, a tutorial, someone else's… 21 Stratechery (Ben Thompson) community 8d ago 2026.34: App Snore The best Stratechery content from the week of August 17, 2026, including Apple making compromises in the EU, Truth (Social) and reconciliation, and August fun with the Clippers and Lakers. 12 Hacker News — AI on Front Page community 8d ago Grand jury declines to indict Ohio man charged with destroying Flock camera Article URL: https://san.com/cc/grand-jury-declines-to-indict-ohio-man-charged-with-destroying-flock-camera/ Comments URL: https://news.ycombinator.com/item?id=49387497 Points: 217 # Comments: 89 16 arXiv — Machine Learning research 9d ago Longitudinal Bayesian Learning of Continuous Disease Position across the Alzheimer's Disease Continuum arXiv:2608.19436v1 Announce Type: new Abstract: Alzheimer's disease (AD) progresses as a continuous biological process, whereas most existing neuroimaging-based artificial intelligence methods remain limited to discrete diagnosis or clinical score prediction from cross-sectional… 9 arXiv — Machine Learning research 9d ago A Two-Stage Time-Aware Transformer for Short-Horizon AECOPD Risk Prediction arXiv:2608.19578v1 Announce Type: new Abstract: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) can worsen rapidly, making timely prediction a clinical priority. Most existing machine learning approaches rely on episodically collected clinical variables,… 21 arXiv — Machine Learning research 9d ago RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations arXiv:2608.19735v1 Announce Type: new Abstract: We introduce RecPFN, a prior-fitted network that brings in-context learning to sequential recommendation. RecPFN is pretrained entirely on synthetic clickstream environments sampled from a broad structural causal prior, enabling it… 11 arXiv — Machine Learning research 9d ago FAR-DPO: Feasibility-Aware and Robust Direct Preference Optimization for Cyclic Peptide Design arXiv:2608.19808v1 Announce Type: new Abstract: Cyclic peptides are emerging as promising molecular scaffolds in drug discovery due to their high binding affinity and structural stability. However, extending generative models from linear to cyclic peptide design remains… 8 arXiv — Machine Learning research 9d ago PETA:Parameter-Efficient Test-Time Adaptation for Virtual Screening arXiv:2608.19906v1 Announce Type: new Abstract: Accurately ranking active ligands for a target protein pocket from massive chemical libraries remains a central challenge in virtual screening. DrugCLIP and its recent extensions substantially accelerate this process by encoding… 17 arXiv — Machine Learning research 9d ago SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth Events arXiv:2608.20117v1 Announce Type: new Abstract: The emergence of large-scale Weather and Climate (W&C) datasets offers new opportunities for modeling extreme Earth events (ExEE) and their impacts using deep learning. However, their adoption in operational settings remains… 33 arXiv — Machine Learning research 9d ago Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records arXiv:2608.20315v1 Announce Type: new Abstract: Predictive models over structured electronic health records (EHRs) remain central to machine learning for healthcare, but few have jointly emphasized quantitative laboratory information and interpretability with respect to input… 9 arXiv — NLP / Computation & Language research 9d ago Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment arXiv:2608.19825v1 Announce Type: cross Abstract: Medical image captioning is a technique that accelerates early-stage diagnostic workflows and enhances the interpretability of medical diagnostic AI systems. However, unlike general image captioning, clinically reliable… 26 arXiv — NLP / Computation & Language research 9d ago Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarization arXiv:2501.16106v2 Announce Type: replace Abstract: Recent advances in multimodal depression recognition for clinical interviews (MDRC) have demonstrated the potential of AI systems by integrating textual, acoustic, and facial cues. However, existing methods pay limited… 35 Vercel — AI dev-tools 9d ago Vercel CLI expands support for DNS, domains, and project commands The Vercel CLI now provides dedicated commands for managing DNS records, domains, and projects. This brings more of the functionality available through the Vercel dashboard and API to the terminal, where it can be used interactively, in scripts, or by agents. Inspect and update… 7 Anthropic SDK (Python) releases dev-tools 9d ago v1.0.0 1.0.0 (2026-08-20) Full Changelog: v0.125.0...v1.0.0 ⚠ BREAKING CHANGES client: upgrade to httpx2 and some minor breaking changes. See MIGRATION.md for details Features client: upgrade to httpx2 and some minor breaking changes. See MIGRATION.md for details ( 33e2967 ) Bug Fixes… 19 TechCrunch — AI news-outlet 9d ago Google gives publishers a new way to fight AI-driven traffic losses Google is giving publishers a new button that lets readers make them a preferred source across Search, Discover, and Google News, potentially boosting their traffic as AI search sends fewer clicks to the web. 4 Vercel — AI dev-tools 9d ago Manage Vercel Toolbar comments from the CLI You can now use the Vercel CLI to manage Vercel Toolbar comments. vercel comments covers the full triage loop: List and filter unresolved comments for the linked project, scoped to your current Git branch Inspect a full thread with every message and its IDs Reply, resolve,… 37 r/MachineLearning community 9d ago Mapping intrinsic rank and informational gravity in complex tabular data: I developed a non-parametric, model-agnostic, information-theoretic diagnostic to bypass the limits of linear, rank, and Euclidean baselines. [R] Links: Entropic Scree Function v1.0.0 / GitHub: https://github.com/tjleestjohn/Entropic-Scree Preprint: https://doi.org/10.5281/zenodo.22028087 TL;DR: Standard PCA fundamentally fractures non-linear dependencies into "Spurious Orthogonal Dimensions," drastically overestimating… 5 arXiv — Machine Learning research 10d ago SingularClip: Preventing Spectral Collapse to Maintain Plasticity in Continual and Reinforcement Learning arXiv:2608.18319v1 Announce Type: new Abstract: Neural networks trained on nonstationary tasks frequently lose the ability to fit new targets, a phenomenon referred to as loss of plasticity. We identify a novel source of plasticity loss due to the growing anisotropy of weight… 31 arXiv — Machine Learning research 10d ago Atrial Fibrillation Detection with Arbitrary Leads via a Codebook-Based Reconstruction-Classification Framework arXiv:2608.18451v1 Announce Type: new Abstract: \textbf{Background and Objective}: Reliable atrial fibrillation (AF) detection from electrocardiogram (ECG) signals remains challenging in real-world clinical settings due to variable lead configurations, cross-dataset domain… 8 arXiv — Machine Learning research 10d ago Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections arXiv:2608.18690v1 Announce Type: new Abstract: The European Union has committed to reducing greenhouse gas emissions 55% below 1990 levels by 2030, but whether current trends are compatible with this ambition remains uncertain. We apply deep learning to high-resolution… 6 arXiv — Machine Learning research 10d ago FedLNS: Leverage LayerNorm Signature Modeling to Mitigate Adversarial Manipulation in Federated LLMs arXiv:2608.18736v1 Announce Type: new Abstract: Federated training enables language models to learn from distributed private text, but the server cannot directly verify the local supervision or optimization process that produces each client update. A malicious client can… 25 arXiv — Machine Learning research 10d ago Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning arXiv:2608.18746v1 Announce Type: new Abstract: JEPA-style latent world models can use Euclidean distance to a goal latent as the cost for model-predictive control (MPC). Strong decoding of task variables, however, does not guarantee that this particular cost ranks candidate… 6 arXiv — NLP / Computation & Language research 10d ago Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage arXiv:2608.18438v1 Announce Type: new Abstract: Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a "supervision gap" where novice therapists manage high-stakes risks with delayed professional feedback. This paper proposes a new… 5 arXiv — NLP / Computation & Language research 10d ago Gradient Mirage: Trainable yet Label-Unidentifiable Gradients in Large Language Model Split Learning arXiv:2608.18767v1 Announce Type: new Abstract: Gradient matching attacks (GMAs) in LLM split learning (SL) rely on a critical yet underexplored assumption: the gradient exposed at the split interface is a faithful derivative of the client's full-label training objective. This… 19 arXiv — NLP / Computation & Language research 10d ago Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis arXiv:2608.18825v1 Announce Type: new Abstract: Medical automatic speech recognition (MedASR) requires adaptation to specialised terminology, limited annotated clinical data, and multilingual use cases. Although large-scale pretrained ASR models such as Whisper achieve strong… 19 Hugging Face Daily Papers research 10d ago Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning Abstract Action-conditioned objectives improve latent geometry for Euclidean-cost model-predictive control by enhancing decision-metric alignment in world models. Generated by thinkingmachines/Inkling-Small JEPA-style latent world models can use Euclidean distance to a goal… 16 Vercel — AI dev-tools 10d ago Manage Vercel Container Registry with Vercel CLI You can now manage Vercel Container Registry with Vercel CLI . The new vercel vcr command group lets you: Connect your existing container tooling Build and push images in one step Create and inspect repositories, images, and tags Authenticate your container tooling, such as… 14 NVIDIA Developer Blog official-blog 10d ago Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... 18 r/LocalLLaMA community 10d ago Reverse-Engineering the RK3588 NPU: Building an Open Compiler to Run GPT-2 at 36 tok/s Last year I posted about hacking the RK3588 NPU to run one vision encoder ( previous post ). This year I opened the whole thing up: reverse-engineered the register format, built an open compiler + runtime, and now GPT-2 and SigLIP run from PyTorch, ONNX, and JAX, no vendor SDK.… 30 Page 2 of 10 · 500 articles ← Newer Older →
