News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow TechCrunch — AI news-outlet 1mo ago With aluminum prices up 20%, recycling startups bet on AI to cash in Recycling startups are using AI to improve the recovery of critical minerals like aluminum, aiming to build a massive source of the metal. 16 Vercel — AI dev-tools 1mo ago Pull anomaly alert details using the Vercel CLI You can now access anomaly alerts and their details directly through the Vercel CLI . With the vercel alerts command, you can list all alerts for a team or given project. For each alert, you can view the start time, the type of alert, and whether or not the alert is still… 10 arXiv — Machine Learning research 1mo ago GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation arXiv:2605.20188v1 Announce Type: new Abstract: Recommending safe and effective medication combinations from electronic health records (EHRs) is a core clinical AI problem, yet it remains difficult because patient trajectories are long, noisy, and clinically heterogeneous.… 9 arXiv — Machine Learning research 1mo ago Catching a Moving Subspace: Low-Rank Bandits Beyond Stationarity arXiv:2605.20269v1 Announce Type: new Abstract: Many bandit deployments (recommendation, clinical dosing, ad targeting) share two facts prior work handles only in isolation: rewards live on a low-dimensional latent subspace, and that subspace drifts. Stationary low-rank bandits… 14 arXiv — Machine Learning research 1mo ago TreeText-CTS: Compact, Source-Traceable Tree-Path Evidence for Irregular Clinical Time-Series Prediction arXiv:2605.20292v1 Announce Type: new Abstract: Numerical time-series models can effectively process irregular electronic health record (EHR) trajectories, but they do not naturally expose the measurements and temporal patterns supporting each risk estimate as readable evidence.… 21 arXiv — Machine Learning research 1mo ago Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions arXiv:2605.20341v1 Announce Type: new Abstract: Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. We present HF-KCU, a method that removes a client's… 17 arXiv — Machine Learning research 1mo ago SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning arXiv:2605.20450v1 Announce Type: new Abstract: Differentially private stochastic gradient descent (DP-SGD) enables private deep learning through per-example clipping and calibrated Gaussian noise, but its high-variance updates can reduce utility on challenging datasets. We… 4 arXiv — Machine Learning research 1mo ago CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support arXiv:2605.20468v1 Announce Type: new Abstract: Effective medication management in Parkinson's Disease (PD) is challenging due to heterogeneous disease progression, variable patient response, and medication side effects. While AI models can forecast levodopa equivalent daily… 8 arXiv — Machine Learning research 1mo ago Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics arXiv:2605.20580v1 Announce Type: new Abstract: This work explores a dynamics-informed Temporal Fusion Transformer (TFT) as a data-driven surrogate for computationally intensive Earth system simulations. Focusing on multivariate time series describing global ocean transport, we… 38 arXiv — Machine Learning research 1mo ago AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback arXiv:2605.20722v1 Announce Type: new Abstract: Reinforcement learning improves LLM reasoning, but PPO/GRPO typically use fixed clipping and decoding temperature, which makes training brittle and tuning-heavy. We propose Adaptive Group Policy Optimization (AGPO), a critic-free… 23 arXiv — Machine Learning research 1mo ago PACD-Net: Pseudo-Augmented Contrastive Distillation for Glycemic Control Estimation from SMBG arXiv:2605.20751v1 Announce Type: new Abstract: Effective diabetes management requires continuous monitoring of glycemic levels. Clinically, glycemic control is assessed using metrics such as Time in Range (TIR), Time Below Range (TBR), and Time Above Range (TAR), typically… 35 arXiv — Machine Learning research 1mo ago Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health arXiv:2605.20782v1 Announce Type: new Abstract: Objective: The growing availability of large-scale observational clinical datasets and challenges in conducting randomized controlled trials have spurred enthusiasm in using causal machine learning (ML) for causal inference in… 15 arXiv — NLP / Computation & Language research 1mo ago Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models arXiv:2605.20591v1 Announce Type: new Abstract: Medical large language models (LLMs), including custom medical GPTs (MedGPTs) and open-source models, are increasingly deployed on web platforms to provide clinical guidance. However, they pose risks of hallucination, policy… 33 arXiv — NLP / Computation & Language research 1mo ago Assessing socio-economic climate impacts from text data arXiv:2605.20793v1 Announce Type: new Abstract: Recent advances in natural language processing (NLP) and large language models (LLMs) have enabled the systematic use of large-scale textual data from news, social media, and reports to create datasets with socio-economic impacts… 15 arXiv — NLP / Computation & Language research 1mo ago Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models arXiv:2605.21154v1 Announce Type: new Abstract: Mental health has become a global priority, leading to a massive administrative burden in the coding of clinical diagnoses. This study proposes the automation of psychiatric diagnostic analysis by mapping free-text descriptions to… 8 arXiv — NLP / Computation & Language research 1mo ago Reliable Automated Triage in Spanish Clinical Notes: A Hybrid Framework for Risk-Aware HIV Suspicion Identification arXiv:2605.21256v1 Announce Type: new Abstract: Standard clinical Natural Language Processing (NLP) benchmarks often yield inflated metrics by forcing deterministic classification on ambiguous instances, thereby obscuring the clinical risks of overconfident predictions. To… 34 arXiv — NLP / Computation & Language research 1mo ago SymbolicLight V1: Spike-Gated Dual-Path Language Modeling with High Activation Sparsity and Sub-Billion-Scale Pre-Training Evidence arXiv:2605.21333v1 Announce Type: new Abstract: Natively trained spiking language models struggle to combine Transformer-like language quality, stable multi-domain pre-training, and high activation sparsity. We present SymbolicLight V1, a spike-gated dual-path language model… 7 arXiv — NLP / Computation & Language research 1mo ago NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding arXiv:2605.20525v1 Announce Type: cross Abstract: We present NeuroQA, a large-scale benchmark for visual question answering in 3D brain magnetic resonance imaging (MRI), with 56,953 QA pairs from 12,977 subjects across 12 datasets. It spans ages 5-104 and five clinical domains:… 8 Hugging Face Daily Papers research 1mo ago Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models Abstract A causal evaluation framework is developed to verify visual evidence grounding in chest X-ray vision-language models, leading to the proposal of MedFocus, a concept-based attribution method that improves clinical trustworthiness through anatomical region localization… 6 Vercel — AI dev-tools 1mo ago Configure weighted traffic splits for Vercel Flags from the Vercel CLI You can now configure weighted traffic splits for Vercel Flags with the new vercel flags split command in the Vercel CLI. This allows you to send a percentage of traffic to one variant and the rest to another. Run the command interactively, or pass the environment, bucketing… 23 TechCrunch — AI news-outlet 1mo ago Clouted wants to take the guesswork out of making short videos go viral The video clipping startup raised a $7 million seed round led by Slow Ventures. 33 The Information — AI news-outlet 1mo ago Intuit Lays Off 17% of Staff as Revenue Growth Sinks to Lowest Level Since 2024 Intuit shares dropped around 14% in extended trading on Wednesday as the maker of QuickBooks and TurboTax reported revenue growth dipping to its slowest pace since 2024. Revenue in the fiscal third quarter, which ended April 30, climbed 10% from the previous year to $8.6… 19 LangChain releases dev-tools 1mo ago langchain-fireworks==1.4.0 Changes since langchain-fireworks==1.3.1 release(fireworks): 1.4.0 ( #37582 ) feat(fireworks): migrate to fireworks-ai 1.x SDK ( #37581 ) chore(model-profiles): refresh model profile data ( #37574 ) chore: bump idna from 3.10 to 3.15 in /libs/partners/fireworks ( #37527 )… 26 Hugging Face Daily Papers research 1mo ago ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning Abstract ClinSeekAgent is an automated agentic framework that enables large language models to actively acquire and synthesize multimodal clinical evidence from raw data sources, improving decision-making accuracy in both text-only and multimodal tasks. AI-generated summary… 38 r/LocalLLaMA community 1mo ago OCR, granite-docling-258m vs granite-docling-2stage-258m: has anyone actually noticed any improvements? IBM's granite-docling-2stage-258m granite-docling-2stage-258m Granite Docling 2stage builds upon the Granite Docling, but introduces a key modifications: it builds a dynamic prompt that precomputes layout objects found within a page, making it more robust on out of distribution… 30 r/LocalLLaMA community 1mo ago How accurate can “whichllm” be? Hello people I think the question is clear but I wanted to add some context: I work on internal tools in my job and some of the tools are for us developers (most tools are for marketing and factory production). I am currently working on a small cli tool that uses a local model… 12 Vercel — AI dev-tools 1mo ago Grok Build 0.1 now available on Vercel AI Gateway Grok Build 0.1 is now available on Vercel AI Gateway . This is a beta coding model trained for agentic coding, currently in early access, and powers the Grok Build CLI app. Reasoning effort is not configurable, and there is no non-reasoning mode. To use Grok Build 0.1, set model… 12 arXiv — Machine Learning research 1mo ago Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning arXiv:2605.18892v1 Announce Type: new Abstract: Federated learning (FL) enables collaborative learning of computer vision models, where privacy and regulatory constraints prevent centralizing data across devices or organizations. However, practical FL deployments often exhibit… 38 arXiv — NLP / Computation & Language research 1mo ago Prompting language influences diagnostic reasoning and accuracy of large language models arXiv:2605.19173v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly explored for clinical decision support, yet most evaluations are conducted in English, leaving their reliability in other languages uncertain. Here we evaluate the impact of prompting… 4 arXiv — NLP / Computation & Language research 1mo ago Synthesis and Evaluation of Long-term History-aware Medical Dialogue arXiv:2605.19766v1 Announce Type: new Abstract: An effective healthcare agent must be able to recall and reason over a patient's longitudinal medical history. However, the absence of datasets with realistic long-term dialogue timelines limits systematic evaluation. Real clinical… 35 arXiv — NLP / Computation & Language research 1mo ago CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models arXiv:2605.19848v1 Announce Type: new Abstract: In recent years, the black-box nature of deep learning models has limited their application in high-stakes domains such as medical diagnosis and finance, where interpretability is essential. To address this, we propose a novel… 18 arXiv — NLP / Computation & Language research 1mo ago PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling arXiv:2605.20052v1 Announce Type: new Abstract: Automatic report labeling facilitates the identification of clinical findings from unstructured text and enables large-scale annotation for medical imaging research. Existing rule-based labelers struggle with the diverse… 13 arXiv — NLP / Computation & Language research 1mo ago ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning arXiv:2605.20176v1 Announce Type: new Abstract: Large language models (LLMs) and agentic systems have shown promise for clinical decision support, but existing works largely assume that evidence has already been curated and handed to the model. Real-world clinical workflows… 19 Vercel — AI dev-tools 1mo ago Chat SDK now includes AI SDK tools Chat SDK now ships a built-in AI SDK toolset through the new chat/ai subpath. One createChatTools(chat) call wires Chat SDK's read and write actions into your agent. Approval by default: write tools are gated by a requireApproval option. Presets: reader , messenger , and… 8 Vercel — AI dev-tools 1mo ago Chat SDK adds message subjects and direct SDK access You can now read the parent issue or pull request when your bot is mentioned in a Linear or GitHub comment. message.subject resolves to that parent with title, status, URL, and the full typed payload. message.subject is cached per message, so repeated access only hits the API… 13 Vercel — AI dev-tools 1mo ago Chat SDK now supports callback URLs on buttons and modals You can now pause a Workflow run on a Chat SDK card and resume it when someone clicks a button. The same flow works for form submissions. Buttons and modals accept a new callbackUrl prop, and the event payload is sent to that endpoint. To build a card like this, create a… 36 Hacker News — AI on Front Page community 1mo ago Remove–AI–Watermarks – CLI and library for removing AI watermarks from images Article URL: https://github.com/wiltodelta/remove-ai-watermarks Comments URL: https://news.ycombinator.com/item?id=48200569 Points: 252 # Comments: 138 4 Hacker News — AI on Front Page community 1mo ago Gemini CLI will stop working from June 18, 2026 Article URL: https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/ Comments URL: https://news.ycombinator.com/item?id=48196867 Points: 216 # Comments: 114 15 TechCrunch — AI news-outlet 1mo ago Agentic app coding gets an upgrade with Google’s release of Android CLI Google is embracing the rise of AI coding agents with new Android tools designed to work with platforms like Claude Code and OpenAI’s Codex, allowing developers — or their AI assistants — to build Android apps faster from the command line. 14 TechCrunch — AI news-outlet 1mo ago Google launches Antigravity 2.0 with an updated desktop app and CLI tool Google is debuting a new AI Ultra plan priced at $100, which will give users 5x more usage limit than the AI Pro plan alongside Antigravity 2.0 launch. 36 TechCrunch — AI news-outlet 1mo ago Google launches Antigravity 2.0 with an updated desktop app and CLI tool at IO 2026 Google is debuting a new AI Ultra plan priced at $100, which will give users 5x more usage limit than the AI Pro plan alongside the Antigravity 2.0 launch. 13 Vercel — AI dev-tools 1mo ago Nuxt MCP Toolkit now supports MCP apps The Nuxt MCP Toolkit now supports MCP apps . Your agent tools can return interactive HTML responses that MCP clients like Claude and ChatGPT render inline, rather than plain-text responses. Declare a tool with the defineMcpApp macro, then read pre-hydrated data, trigger… 29 Anthropic SDK (Python) releases dev-tools 1mo ago v0.103.0 0.103.0 (2026-05-19) Full Changelog: v0.102.0...v0.103.0 Features client: Add support for self-hosted sandboxes in CMA with sandbox helpers ( e5625b0 ) 22 arXiv — Machine Learning research 1mo ago Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories arXiv:2605.16319v1 Announce Type: new Abstract: Medium-horizon Alzheimer's disease progression prediction is difficult because future clinical scores can remain tied to baseline severity, while biomarker histories are irregular and incompletely observed. We develop an… 6 arXiv — Machine Learning research 1mo ago Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation arXiv:2605.16350v1 Announce Type: new Abstract: We rethink Federated Learning (FL) from a nested learning perspective, framing the core challenge as how to collaboratively learn optimization rules, not just static models, to tackle Non-IID client data. To address this, we… 4 arXiv — Machine Learning research 1mo ago ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction arXiv:2605.16380v1 Announce Type: new Abstract: Clinical time-series data are difficult to model with methods designed for regular sequences because they exhibit irregular sampling, frequent missing values, and heterogeneous observation patterns across variables. Existing… 6 arXiv — Machine Learning research 1mo ago GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment arXiv:2605.16435v1 Announce Type: new Abstract: Heatwaves are an important problem in cities, and climate change makes this problem more difficult. In this paper, we present a GPU-based deep learning framework for next-day prediction of urban thermal conditions and for heat risk… 28 arXiv — Machine Learning research 1mo ago Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers arXiv:2605.16438v1 Announce Type: new Abstract: Federated Learning (FL) trains a global model across decentralized clients while preserving data privacy, but at scale it is vulnerable to malicious updates. Byzantine-resilient aggregation methods such as MultiKrum score gradients… 23 arXiv — Machine Learning research 1mo ago SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets arXiv:2605.16620v1 Announce Type: new Abstract: Learning causal relationships between variables from data is a fundamental research area with many applications across disciplines. Most existing causal discovery algorithms rely on the assumptions that (i) the underlying system is… 33 arXiv — Machine Learning research 1mo ago MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis arXiv:2605.16639v1 Announce Type: new Abstract: Multimodal clinical prediction faces three challenges: multiple foundation models (FMs) with complementary strengths per modality, pervasive missing modalities at training and test time, and sample-specific variation in modality… 7 Page 9 of 10 · 500 articles ← Newer Older →
