News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Vercel — AI dev-tools 1mo ago Deployments are now up to 7 seconds faster Over the past few months, we've made deployments up to 7 seconds faster end to end. We removed up to 5 seconds of fixed platform overhead from every build, and deploys from the latest Vercel CLI save up to 2 seconds more. The improvements are most noticeable on smaller builds,… 26 Vercel — AI dev-tools 1mo ago Latest MCP spec now supported in mcp-handler mcp-handler@2.0.0 is now available with support for the 2026-07-28 Model Context Protocol specification and MCP TypeScript SDK v2 . We originally built mcp-handler to make it easier to spin up MCP servers on popular web frameworks including Next, Nuxt, Svelte, and more. With the… 36 MIT News — AI research 1mo ago How a medical database developed at MIT evolved into a global standard of data-sharing The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence. 17 arXiv — NLP / Computation & Language research 1mo ago MyoCardBench: A Real-World Data Benchmark for Evaluating Large Language Models in Clinically Authentic Cardiovascular Care Scenarios arXiv:2607.25186v1 Announce Type: new Abstract: Background: Most medical large language model (LLM) benchmarks focus on examination knowledge or isolated tasks and may not reflect the longitudinal, multimodal, and safety-critical workflow of cardiovascular care. Objective: To… 33 arXiv — NLP / Computation & Language research 1mo ago Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases arXiv:2607.25933v1 Announce Type: new Abstract: Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive disclosure of multimodal information, dynamic updating… 32 arXiv — NLP / Computation & Language research 1mo ago Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools arXiv:2607.24793v1 Announce Type: cross Abstract: Discussions around large language model (LLM) errors in clinical artificial intelligence (AI) generally center around precision errors like hallucinations. This perspective, targeting both clinicians and AI researchers, seeks to… 14 arXiv — NLP / Computation & Language research 1mo ago Cardiologent: Multi-Agent Clinical Decision Support for Patient-Level Arrhythmia Assessment, Urgency, and Management arXiv:2607.25340v1 Announce Type: cross Abstract: The same episode of atrial fibrillation is a minor finding in a healthy adult and grounds for anticoagulation in an elderly patient with hypertension: identical signal, opposite decision. Naming the rhythm is only the start; what… 6 arXiv — NLP / Computation & Language research 1mo ago A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series arXiv:2607.25947v1 Announce Type: cross Abstract: Question answering (QA) over irregular clinical time series (ICTS) plays a pivotal role in a wide range of healthcare applications. Although recent multimodal time-series large language models (LLMs) have shown considerable… 26 arXiv — NLP / Computation & Language research 1mo ago A Study of Crosslinguistic Influence in Language Models arXiv:2601.21587v2 Announce Type: replace Abstract: The sequential acquisition of languages inevitably leads to Crosslinguistic Influence (CLI), where the syntactic properties of a first language (L1) impact the processing of a second language (L2). While modern language models… 12 r/MachineLearning community 1mo ago Would you take an MLE role with 50% base salary increase with rigid pto policy and no 401K match? [D] I got an offer for an MLE role where basically i will develop ML/GENAI solutions for clients completely and then hand them over and move to other projects. I think its a consulting ML role, although from a salary perspective its amazing and base is 50% more and if i add my new… 23 Vercel — AI dev-tools 1mo ago Discover and install eve integrations from the CLI You can now discover and install integrations for eve agents directly from the eve CLI. Integrations come from the official eve catalog and third-party sources. Run eve add from your eve project to install an integration: Integrations write their files directly into your project… 31 Anthropic SDK (Python) releases dev-tools 1mo ago v0.120.2 0.120.2 (2026-07-28) Full Changelog: v0.120.1...v0.120.2 Bug Fixes mcp: support mcp sdk v2 alongside v1 ( #300 ) ( 177f88c ) 38 Hacker News — AI on Front Page community 1mo ago New HIV vaccine shows unprecedented success in preclinical study Article URL: https://www.lji.org/news-events/news/post/new-hiv-vaccine-shows-unprecedented-success-in-preclinical-study/ Comments URL: https://news.ycombinator.com/item?id=49083314 Points: 260 # Comments: 118 5 r/LocalLLaMA community 1mo ago I've been tracking RTX 5090 prices across EU stores since March, it's up €1,061 and still climbing Been running a GPU price tracker ( https://www.pricesquirrel.com ) since March, covering 20+ EU stores, recently added RAM, SSDs and CPUs too. Every GPU tier has gotten cheaper since launch. The RTX 5090 has done the exact opposite. The data: The ASUS TUF Gaming RTX 5090 OC was… 34 r/LocalLLaMA community 1mo ago Medical model: Reasoning-Medical-27B (Qwen3.6-27B finetune) From the description: "Reasoning-Medical-27B is designed for universal advanced medical reasoning in professional medicine, medical genetics, college biology/medicine, and clinical knowledge. The model was fine-tuned on a large-scale dataset of 370,000 high-quality… 38 r/MachineLearning community 1mo ago DP-FedSOFIM: Second-Order Federated Optimization Under Differential Privacy Without Extra Privacy Cost [R] Most differentially private federated learning methods are still fundamentally first-order: clip per-example gradients, add Gaussian noise, aggregate, and take a step. DP-FedGD and DP-FedAvg follow this directly. DP-FedAdam, DP-FedYogi, and DP-SCAFFOLD improve the dynamics… 26 arXiv — Machine Learning research 1mo ago Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations arXiv:2607.22910v1 Announce Type: new Abstract: Pearl's structural causal model (SCM) framework, built on directed acyclic graphs (DAGs) and the do-calculus, is the dominant formal language for causal reasoning. Yet it carries two structural restrictions: every relationship must… 31 arXiv — Machine Learning research 1mo ago Recycling computational processes of dynamic programming for combinatorial optimization problems: a reservoir computing approach arXiv:2607.23009v1 Announce Type: new Abstract: Reusing previously computed results is a long-standing principle for reducing computational cost, but such reuse has largely been confined to a single problem's computation. Sharing computational processes across multiple… 4 arXiv — Machine Learning research 1mo ago Multi-Agent Privacy Game in Federated Learning: A Unified Mean-Field View arXiv:2607.23029v1 Announce Type: new Abstract: Federated learning enables collaborative model training across distributed clients without centralising their data, yet privacy remains a persistent concern because the shared model updates can leak information about local… 22 arXiv — Machine Learning research 1mo ago Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction arXiv:2607.23412v1 Announce Type: new Abstract: Electrocardiograms (ECGs) are widely used for cardiovascular risk prediction, yet models often fail to transfer across hospitals because of protocol, population, and measurement differences. We benchmark cross-dataset… 21 arXiv — Machine Learning research 1mo ago Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks arXiv:2607.23467v1 Announce Type: new Abstract: We study an integrated pickup-and-delivery problem on sparse, non-Euclidean networks that jointly optimizes cyclic routing, cargo flow allocation, and cross-cycle service. The tight coupling of these operational constraints creates… 11 arXiv — NLP / Computation & Language research 1mo ago Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs arXiv:2607.24371v1 Announce Type: new Abstract: Healthcare interoperability requires AI systems to produce structured outputs conforming to standardized schemas including ICD-10 for diagnostic coding, CPT for procedure billing, and HL7 FHIR for data exchange. While large… 22 Hugging Face Daily Papers research 1mo ago JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents Abstract Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent generative models can synthesize high-quality images, videos, audio clips, UI elements, storyboards, slides, and other creative assets, real-world creative… 4 Hugging Face Daily Papers research 1mo ago ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding Abstract Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying them in the medical domain is fundamentally a vision-centric challenge: models must absorb knowledge from heterogeneous 2D and 3D medical images, and… 23 Hugging Face Daily Papers research 1mo ago StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents Abstract Computer-use agents are usually improved by strengthening perception: better models for reading a screenshot and choosing where to click. Yet a screenshot is only a lossy rendering of the underlying program state, e.g., the files, application backends, and DOM that hold… 24 r/LocalLLaMA community 1mo ago Viable ways to run K3 locally just curious how would people run it cheap if they really want kimi k3. dgx spark / strix halo clusters optane persistent memory platform + some gpus mac studio clusters orange pi 6 clusters ssd streaming + gpus multiple ddr3 + connectx 5 rdma clients two dgx stations power 10… 37 Vercel — AI dev-tools 1mo ago How Sandstone grew 40x in 147 days on Vercel Sandstone on Vercel 1,000+ legal requests managed daily across customer teams 7-app turborepo monorepo deployed seamlessly to multiple Vercel projects Multi-step agentic legal workflows built end-to-end with AI SDK When in-house legal teams get a request from their business, it… 15 arXiv — Machine Learning research 1mo ago A Drift Stable Quantum Federated Learning for Intelligent Services arXiv:2607.21647v1 Announce Type: new Abstract: Quantum federated learning enables distributed clients to train quantum neural networks without sharing local data, making it promising for privacy-aware intelligent services. Intelligent services in this context refer to… 11 arXiv — Machine Learning research 1mo ago Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA arXiv:2607.21823v1 Announce Type: new Abstract: We show that, up to isotropic scaling, the Gaussian RBF reproducing kernel Hilbert space (RKHS) is asymptotically isometric to Euclidean space in the large bandwidth limit. This strongly suggests that kernel-based constructions… 15 arXiv — Machine Learning research 1mo ago MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting arXiv:2607.21922v1 Announce Type: new Abstract: Clinical irregular multivariate time series are shaped not only by physiological dynamics but also by the measurement process that determines when and what to observe. In event-centric models, however, co-timestamp structure can be… 29 arXiv — Machine Learning research 1mo ago Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers arXiv:2607.22004v1 Announce Type: new Abstract: Energy natural gradient descent (ENGD) aligns parameter updates with the curvature of an underlying function-space energy, but existing formulations assume an unconstrained Euclidean parameter domain. We introduce \EMNGDfull{}, a… 11 arXiv — Machine Learning research 1mo ago Autoregressive EHR Foundation Models with Multimodal Inputs arXiv:2607.22264v1 Announce Type: new Abstract: Autoregressive foundation models trained on tokenized electronic health records (EHRs) can support zero-shot clinical prediction, yet most operate on structured event codes alone, and do not incorporate multiple modalities in a… 33 arXiv — Machine Learning research 1mo ago Synthetic Speech, Real Signal: Paralinguistic Preservation and Cross-Lingual Augmentation via Voice Cloning arXiv:2607.22304v1 Announce Type: new Abstract: Synthetic data augmentation in speech is common practice for linguistic tasks like ASR, but has seen far less work for paralinguistic ones, especially clinical tasks where labelled data is expensive and some patient groups are… 35 arXiv — Machine Learning research 1mo ago Beyond Binary Rooftop Mapping: A Four-Class Deep Learning Framework for Green Roof Potential Assessment from Open Swiss Geospatial Data arXiv:2607.22342v1 Announce Type: new Abstract: The development of effective urban climate adaptation strategies requires comprehensive spatial information on rooftops and buildings, since such information underpins the assessment of ecosystem services provided by green… 27 arXiv — Machine Learning research 1mo ago Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking arXiv:2607.22514v1 Announce Type: new Abstract: Dysphagia is a debilitating late effect of head and neck cancer (HNC) treatment, yet timely identification of at-risk patients remains challenging in survivorship care. Definitive assessment relies on videofluoroscopic imaging, as… 22 Vercel — AI dev-tools 1mo ago Run Claude Managed Agents with Chat SDK You can now run Claude Managed Agents with Chat SDK . Claude Managed Agents handles the agent loop server-side, including the model, tools, session state, and sandboxed web research. Chat SDK gives that agent a chat interface through a single type-safe handler, with adapters… 33 r/LocalLLaMA community 1mo ago Harness showdown: Claude Code vs OpenCode vs Pi with DeepSeek V4 Flash I ran DeepSeek V4 Flash through Claude Code, OpenCode and Pi on my own benchmark, and the quality came out basically the same across all three while the time and tokens spent was wildly different. Claude code (with DS in CLIProxyAPI ) takes nearly 4 times longer than the fastest… 38 r/LocalLLaMA community 1mo ago Llama.cpp now has full MCP support! After a long and grueling effort spearheaded by ngxson, llama.cpp now fully supports MCP for all protocols. Over-the-web HTTP servers were already supported in the client (since they don't require any sort of plumbing), but stdio servers required real integration. After we… 15 r/LocalLLaMA community 1mo ago DKV: Open-source KV-cache compression framework for local LLM inference (CLI + technical report) Hi everyone! Over the past five months I've been working on DKV (DifferentialKV), an open-source project exploring KV-cache compression for long-context local LLM inference. The goal is to reduce KV-cache memory requirements through anchor-based representations, joint low-rank… 21 Anthropic SDK (Python) releases dev-tools 1mo ago v0.120.0 0.120.0 (2026-07-24) Full Changelog: v0.119.0...v0.120.0 Features api: add claude-opus-5 model ( bf4e31c ) api: add tool addition/removal blocks and tool_change events ( bf4e31c ) api: expand client-side fallback credit token types and add server-side fallbacks default option (… 24 arXiv — Machine Learning research 1mo ago Bayesian uncertainty estimation improves clinical decision making in medical AI agents arXiv:2607.20582v1 Announce Type: new Abstract: Machine learning models for medical image analysis typically lack a reliable measure of confidence, limiting their use in ambiguous or atypical cases. Here we show that Monte Carlo dropout, applied to a multi-task chest-radiograph… 4 arXiv — Machine Learning research 1mo ago One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification arXiv:2607.20641v1 Announce Type: new Abstract: Federated learning (FL) enables multiple clinical institutions to collaboratively train a shared disease classifier without centralizing patient data. In practice, however, each institution annotates only the pathologies within its… 33 arXiv — Machine Learning research 1mo ago Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion arXiv:2607.20742v1 Announce Type: new Abstract: Multimodal learning is a robust approach to improve predictive performance in applications such as medical prognosis. However, the clinical applicability of models that use multimodal learning is hampered by their poor performance… 22 arXiv — Machine Learning research 1mo ago HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology arXiv:2607.20896v1 Announce Type: new Abstract: Spatial transcriptomics assays remain costly and technically demanding, restricting transcriptome-wide profiling to specialist settings and preventing routine clinical deployment. Predicting spatially resolved gene expression from… 17 arXiv — Machine Learning research 1mo ago Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning arXiv:2607.20914v1 Announce Type: new Abstract: Federated parameter-efficient fine-tuning (PEFT) enables communication-efficient adaptation of large pretrained models on decentralized edge data, but it remains fragile under non-IID client heterogeneity. In low-rank adaptation… 4 arXiv — Machine Learning research 1mo ago Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference arXiv:2607.21162v1 Announce Type: new Abstract: Outsourced Transformer inference exposes clients to model substitution and incomplete execution, while direct replay removes the computational benefit of delegation. We present GKR-HND, a registered-model protocol for verifying the… 37 arXiv — Machine Learning research 1mo ago M$^3$-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data arXiv:2607.21343v1 Announce Type: new Abstract: Integrating heterogeneous biomedical data, including clinical metadata, histopathology images, and molecular profiles, is crucial for comprehensive disease understanding. However, gene expression data acquisition remains… 16 arXiv — NLP / Computation & Language research 1mo ago Human-in-the-Loop Large Language Model Framework for Identification of Cutaneous Immune-Related Adverse Events arXiv:2607.20428v1 Announce Type: new Abstract: This study evaluated a retrieval-augmented, multi-agent large language model (LLM)-driven, human-in-the-loop framework for detecting cutaneous immune-related adverse events (cirAEs) from clinical notes. Compared with unassisted… 28 arXiv — NLP / Computation & Language research 1mo ago A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction arXiv:2607.20453v1 Announce Type: new Abstract: Large language models show promise for clinical prediction, but zero-shot performance on specialized tasks is limited by incomplete domain knowledge, especially for smaller locally deployable models. We present a lightweight… 27 arXiv — NLP / Computation & Language research 1mo ago MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education arXiv:2607.21570v1 Announce Type: new Abstract: Large Language Models (LLMs) show promise for medical education, but most existing systems focus on localized interactions such as question answering or single-turn feedback, rather than organizing an entire clinical case into a… 17 Page 7 of 10 · 500 articles ← Newer Older →
