News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow Ars Technica — AI news-outlet 19d ago Amazon backs power plant that may become top source of US climate pollution Amazon announces first off-the-grid data center in race to reap AI profits. 27 GitHub Blog — AI & ML official-blog 19d ago Using the GitHub Copilot SDK for Java Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared first on The GitHub Blog . 37 r/MachineLearning community 20d ago Semi Edge Inference Idea [D] Today the most important factor in AI is cost. My idea is to split ML models inference (closed ones, proprietary) across server and edge computing on clients, and I would like to hear what do you think about this thing. For example some of model weights/modules would be on… 22 r/LocalLLaMA community 20d ago Comparing how Cline, Kilo, and Qwen Code handle long-task context/state (and why context loops keep happening) I've been comparing Cline / Kilo / Qwen Code lately since they all handle long-task state differently. Cline: has Focus Chain, a markdown file kept outside the conversation that gets reinjected on a cadence, plus Memory Bank for project context, plus a standalone gRPC server so… 31 r/LocalLLaMA community 20d ago Mature/better alternatives to pi-web? I'm looking for a web interface for my pi harness without the CLI, but this was the only one I found. Are there any others? I'm not looking for any chat interface like Open WebUI that's rather bloated, requiring accounts/logins for certain features, etc. It would be great if it… 26 arXiv — Machine Learning research 20d ago MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records arXiv:2608.06430v1 Announce Type: new Abstract: Learning from Electronic Health Records (EHRs) has gained significant attention due to its potential to improve clinical prediction. However, effective learning remains challenging because EHRs encode heterogeneous, temporally… 8 arXiv — Machine Learning research 20d ago Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning arXiv:2608.06637v1 Announce Type: new Abstract: Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial client behavior. Distance-based aggregation rules, such as Krum and Multi-Krum, select updates that are closest to the majority… 10 arXiv — Machine Learning research 20d ago Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning arXiv:2608.07157v1 Announce Type: new Abstract: Sub-model federated learning lets resource-constrained clients train width-reduced versions of a global model, but existing methods allocate capacity by device resources alone. A natural next step, allocating capacity by each… 19 arXiv — Machine Learning research 20d ago TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning arXiv:2608.07274v1 Announce Type: new Abstract: Split Federated Learning (SFL) facilitates privacy-preserving collaborative training with reduced client-side overhead. However, its split architecture introduces unique attack surfaces, rendering it vulnerable to diverse poisoning… 22 arXiv — NLP / Computation & Language research 20d ago ResidencyRL: Reinforcement Learning in Simulated Clinical Environments arXiv:2608.07418v1 Announce Type: cross Abstract: In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of feedback and progressively greater autonomy. Much of… 13 arXiv — NLP / Computation & Language research 20d ago Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent arXiv:2604.07269v2 Announce Type: replace Abstract: Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based diagnostic agents have shown promising progress in clinical… 34 Hugging Face Daily Papers research 20d ago StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding Abstract Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predominantly rely on brief clips and multiple-choice formats. This design… 27 TechCrunch — AI news-outlet 21d ago Planned Amazon data center could become the biggest climate polluter in the U.S. As part of a planned Texas data center, Amazon is investing in an on-site power plant that could reportedly become the largest source of climate pollution in the United States. 9 r/LocalLLaMA community 22d ago I got tired of my 300GB model loads taking 5min on RPC. PR 26291 speeds it 300% to 1min30sec (4060ti+ddr4) + (4060ti+ddr5) - On b10173 - "state":"loading" 4min54sec. - With this PR and GGML_RPC_LOAD_THREADS 12 - "state":"loading" 1min38sec The PR is close to ready, will need a docs change if they want to keep the new GGML_RPC_LOAD_THREADS variable.. and hopefully they take it with the client-side… 10 r/LocalLLaMA community 22d ago Which model would be best for Delphi development? Hey all, Are there any Delphi developers in the crowd? If so, which models would you say are best at doing development in Delphi? What are your thoughts/suggestions here, and is there a good GUI client/harnass you like for doing delphi specific things? Thanks   submitted by… 22 Hacker News — AI on Front Page community 22d ago Ancient Library – 1,060 Greek/Latin texts, click any word to parse it Article URL: https://ancientlibrary.net/ Comments URL: https://news.ycombinator.com/item?id=49214770 Points: 230 # Comments: 73 37 Ars Technica — AI news-outlet 22d ago AI chatbots have failed people in crisis. Can that be fixed? Clinicians and researchers say AI companies need to open up their safety data. 16 Hugging Face Daily Papers research 23d ago Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval Abstract Short segments of perceived speech can be retrieved from non-invasive magnetoencephalographic (MEG) recordings by deep networks trained with a CLIP-style objective against wav2vec 2.0 audio embeddings. Yet their weights do not map onto electrophysiological quantities,… 20 OpenAI official-blog 23d ago How HSP GRUPPE builds AI capabilities for tax advisory Discover how HSP GRUPPE uses ChatGPT Enterprise to boost productivity, improve work quality, and create more capacity for tax advisory and client service. 38 arXiv — Machine Learning research 23d ago MS-MLB: An Open Machine Learning Benchmark for Blood-Based MS Classification arXiv:2608.05196v1 Announce Type: new Abstract: Multiple sclerosis (MS) is diagnosed through clinical assessment, magnetic resonance imaging, laboratory evidence when appropriate, and exclusion of better explanations. Blood RNA expression data may contain disease associated… 14 arXiv — Machine Learning research 23d ago An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals arXiv:2608.05255v1 Announce Type: new Abstract: Retail investors lack access to the kind of personalized, tax-aware portfolio management that institutional clients take for granted -- existing robo-advisors use static, rule-based allocation, and institutional-grade systems… 7 arXiv — Machine Learning research 23d ago DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting arXiv:2608.05358v1 Announce Type: new Abstract: Federated learning repeatedly incurs local optimization and model-update transmission. We study DG-FedReuse, a simulator-level mechanism that allows selected clients to contribute age-decayed cached updates when a stochastic… 26 arXiv — Machine Learning research 23d ago THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction arXiv:2608.05982v1 Announce Type: new Abstract: Inadequate target--disease linkage accounts for 40--50\% of Phase~II efficacy failures, so anticipating which programmes will advance would let sponsors back the hypotheses most likely to reach patients. What a programme can be… 32 arXiv — Machine Learning research 23d ago From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction arXiv:2608.05203v1 Announce Type: cross Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by the misalignment of model explanations with clinicians' reasoning. Motivated… 23 arXiv — Machine Learning research 23d ago Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation arXiv:2608.05341v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) for radiology report generation are typically trained on retrospective clinical reports, which suffer from omission noise: clinically present findings are left unreported due to the omission of… 25 arXiv — Machine Learning research 23d ago DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data arXiv:2608.05375v1 Announce Type: cross Abstract: Clinical machine learning (ML) has the potential to support high-stakes medical decision-making, but reliable deployment is often constrained by scarce, heterogeneous, and temporal complexity. Developing effective ML pipelines… 14 arXiv — NLP / Computation & Language research 23d ago Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies arXiv:2608.05993v1 Announce Type: new Abstract: Much clinical value is conveyed not through structured records but through communication: exchanges in which patients describe symptoms, clinicians reason and give instructions, ambulances hand over to emergency departments, and… 4 r/LocalLLaMA community 23d ago AI clickbait Reading through this subreddit and many more I keep running into what I am calling "AI click bait". Either projects that seems interesting in the description/title but when you open them they're the same AI vide coded slop that does not solve the problem; or apparent discussions… 11 r/LocalLLaMA community 23d ago I compared even more parsers on 14 PDF-parsing capabilities using different types In a previous post , I compared MinerU, Granite-Docling, and PaddleOCR-VL. Many commentors suggested I added their favorite parsers. So I did. And also added some new capabilities to differentiate the top models. Here is the full list of parser compared: MinerU 2.5 (1.2B VLM)… 9 arXiv — Machine Learning research 24d ago Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity arXiv:2608.04045v1 Announce Type: new Abstract: Federated learning (FL) enables aircraft fleet operators to jointly train remaining-useful-life (RUL) models from engine sensor telemetry without sharing raw data. This study examines two complementary challenges: benign… 19 arXiv — Machine Learning research 24d ago LiNC: Lightweight Noise Correction via Per-Sample Trust and Gaussian Mixture Modeling arXiv:2608.04147v1 Announce Type: new Abstract: Label noise is common in medical imaging datasets due to factors such as inter-rater variability, annotation errors, and ambiguous cases. This can severely undermine the reliability and clinical effectiveness of machine learning… 35 arXiv — Machine Learning research 24d ago SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery arXiv:2608.04930v1 Announce Type: new Abstract: Bayesian causal discovery seeks to determine the posterior distribution of causal theories, which are interpreted as directed acyclic graphs (DAGs) that explain the observed data. The resulting posterior allows systematic reasoning… 10 arXiv — NLP / Computation & Language research 24d ago Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction arXiv:2608.04193v1 Announce Type: new Abstract: Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability. Graph neural networks (GNNs) complement LMs by… 6 arXiv — NLP / Computation & Language research 24d ago RESPClinBench: Benchmarking Multimodal Clinical Decision-Making and Longitudinal Disease Management in Respiratory Specialty Care arXiv:2608.04514v1 Announce Type: new Abstract: Background: Respiratory specialty care requires multimodal interpretation, longitudinal risk assessment, guideline-concordant intervention, and whole-course management, which are poorly represented by examination-oriented medical… 11 arXiv — NLP / Computation & Language research 24d ago Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent arXiv:2608.04772v1 Announce Type: new Abstract: Scaling supervision for multi-turn medical agents is difficult because expert dialogue annotation is costly and clinical conversations are privacy-restricted. We introduce Guideline-as-Oracle (GAO), which compiles American Academy… 19 arXiv — NLP / Computation & Language research 24d ago Reading Between the Frames: Interpreting Implicit and Non-literal Meaning in Social Media Videos arXiv:2608.04939v1 Announce Type: new Abstract: Social media videos often communicate meanings that go beyond their visible actions, captions, or speech. A mundane clip may become humorous, ironic, or satire only through the interaction of multimodal cues and cultural context,… 20 arXiv — NLP / Computation & Language research 24d ago Neighborhood-Aware Dual Biomedical Entity Linking arXiv:2608.04144v1 Announce Type: cross Abstract: Biomedical entity linking grounds mentions in clinical and scientific text to entities in a curated knowledge base (KB) with ontological structure, which supports downstream applications such as literature-scale information… 13 Vercel — AI dev-tools 24d ago Pause workflows for approval with Chat SDK You can build human-in-the-loop approvals with Chat SDK through the new chat/workflow subpath. One requestApproval call posts a card with Approve and Deny buttons and suspends a Workflow SDK workflow until someone decides. The wait can last seconds or days and survives deploys… 8 Vercel — AI dev-tools 24d ago Introducing Agent Plugins 1.0.0 Agent Plugins 1.0.0 is now available. It is an open, vendor-neutral standard for packaging Agent Skills and MCP servers into portable plugins. Compatible agent clients can discover and load them. Agent Plugins defines a common format: a root plugin.json manifest, plus fixed… 7 Vercel — AI dev-tools 24d ago Marketplace integrations now install provider skills When you install a Vercel Marketplace integration from the Vercel CLI, it now also installs that provider's agent skills from skills.sh , so your agents know how to use it: This happens automatically for any provider that publishes skills. You can also find integrations without… 9 Vercel — AI dev-tools 24d ago Seedance 2.5 now available on Vercel AI Gateway Seedance 2.5 from ByteDance is now available on AI Gateway. It generates up to 30 seconds in a single clip, holding camera movement and continuity without stitching shots together in post. Short clips can also be extended with character, scene, and camera movement carried over.… 33 arXiv — Machine Learning research 25d ago CT-HEG: A Bidirectional, Timestamp-Attributed Event Graph for ICU In-Hospital Mortality Prediction - An Architectural Ablation Study arXiv:2608.02663v1 Announce Type: new Abstract: Accurate ICU mortality prediction requires modeling irregular clinical observations across heterogeneous entity types. Existing sequence models handle irregular sampling but ignore typed relational structure; existing graph models… 16 arXiv — Machine Learning research 25d ago GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits arXiv:2608.02877v1 Announce Type: new Abstract: Causal discovery recovers directed structure from observational data and is increasingly used in clinical settings to support mechanism reasoning and fairness audits of predictive models. Path-specific counterfactual fairness asks… 8 arXiv — Machine Learning research 25d ago TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series arXiv:2608.03391v1 Announce Type: new Abstract: Precise anomaly localization over long-context time series is a crucial task in monitoring applications across clinical care, industrial operations, financial services, and logistics, where brief evidence may hide inside long spans… 31 arXiv — Machine Learning research 25d ago ConformalShift: Targeted Event Reordering Against Adaptive ECG Monitoring arXiv:2608.03628v1 Announce Type: new Abstract: Adaptive conformal prediction can recover clinically important heartbeat classes missed by a point classifier, but delayed feedback makes its decisions sensitive to event order. We introduce ConformalShift, a bounded… 34 arXiv — Machine Learning research 25d ago CausalOPD: First-Wrong-Step Supervision for Distilling Causal Chain Reasoning arXiv:2608.03673v1 Announce Type: new Abstract: Many critical reasoning tasks, including clinical diagnosis, legal judgment, and industrial fault diagnosis, require step-dependent causal chains in which early errors propagate and correct conclusions can mask invalid reasoning.… 28 arXiv — Machine Learning research 25d ago CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence arXiv:2608.03862v1 Announce Type: new Abstract: Emergency triage requires reliable decisions within a short time period. However, the available electronic health record (EHR) data, including structured data and clinical text, are often incomplete, unreliable, and inconsistent.… 25 arXiv — NLP / Computation & Language research 25d ago OncoTriad-QA: A Patient-Level Radiology-Pathology-Genomics Benchmark for Pan-Cancer Reasoning arXiv:2608.02615v1 Announce Type: new Abstract: Cancer diagnosis and characterization require integrating complementary evidence from radiology, pathology, genomics, and clinical metadata. However, most medical large language model (LLM) and vision-language model (VLM)… 10 arXiv — NLP / Computation & Language research 25d ago Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical Safety arXiv:2608.02617v1 Announce Type: new Abstract: We evaluate whether clinician pairwise preferences provide a reliable signal of clinical safety in large language model (LLM) evaluation using expert feedback from MOOVE (Massive Open Online Validation and Evaluation), a… 15 Vercel — AI dev-tools 25d ago Measure time between steps in Vercel Workflows You can now measure the time between any two steps in the trace viewer for Vercel Workflows and the Workflow SDK . Select a step, hold Option on macOS or Alt on Windows and Linux, then hover another step to see a measurement line between them: Between sequential steps, the line… 37 Page 5 of 10 · 500 articles ← Newer Older →
