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Speculative Pipeline Decoding: Higher-Accruacy and Zero-Bubble Speculation via Pipeline Parallelism
arXiv:2605.30852v1 Announce Type: new Abstract: Speculative Decoding (SD) accelerates low-concurrency LLM inference by employing a draft-then-verify paradigm. However, mainstream methods typically rely on multi-token prediction, which introduces escalating prediction difficulty and serial drafting latency.
Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
arXiv:2606.07881v1 Announce Type: new Abstract: Pipeline parallelism is essential for training large neural networks, but existing schedules trade off throughput, memory, and optimization consistency. Synchronous pipelines preserve forward/backward weight consistency but suffer from bubbles; asynchronous pipelines remove bubbles but introduce weight-version mismatch, typically requiring weight stashing, prediction, or correction mechanisms. We introduce PACI (Pipeline Asynchronous training...
Iraq and UAE race to establish alternative oil pipelines as exports through Hormuz dry up
Iraq and the United Arab Emirates are fast-tracking plans to expand oil pipelines to replace the capacity lost by the closure of the Strait of Hormuz, as new data reveals their stark dependency on the Persian Gulf. Last week, the Iraqi cabinet approved plans to accelerate crude exports through the Kurdistan-Turkey pipeline network, which would more than triple its existing shipments from 220,000 barrels per day to 770,000. The route offers an alternative passage through Kurdistan to Turkey's...
Smart pipelines: Can AI protect the world’s energy lifelines?
As ageing pipelines face growing risks, the energy industry is increasingly turning to AI and smart monitoring systems to improve their safety and efficiency. Around 500,000 kilometres of oil and gas pipelines worldwide need to be renovated, rebuilt or upgraded, while leaks, ruptures and incidents already cost the sector more than $7 billion (€6bn) a year — and roughly 40% of failures go undetected in the first 24 hours, according to industry experts speaking at the Baku Energy Forum. The...
AutoPipelineAI: Context-Aware CI/CD Pipeline Generation from Natural Language
Announce Type: new Abstract: Modern software development relies on CI/CD pipelines to automate testing, building, and deployment operations. Configuring DevOps pipelines is challenging and time-consuming, as developers must understand platform-specific syntax and manually create configuration files. This complexity can lead to configuration errors and reduced productivity, especially for developers with limited DevOps experience.
DN-Hypo-Pipeline: An AI-Driven Workflow for Hypothesis Generation via Large Language Models and Scientific Explanations
Announce Type: new Abstract: A scientific hypothesis is the first step in research and undergoes experimental validation, yet it also reflects a deep understanding of and reasoning about scientific phenomena. We introduce DN-Hypo-Pipeline, an AI-powered workflow based on large language models, designed to support structured scientific thinking and hypothesis generation by leveraging scientific explanations as prior knowledge. This pipeline assists researchers in deriving novel hypotheses...
Fully Open Meditron: An Auditable Pipeline for Clinical LLMs
Announce Type: replace Abstract: Clinical decision support systems (CDSS) require scrutable, auditable pipelines that enable rigorous, reproducible validation. Yet current LLM-based CDSS remain largely opaque. Most "open" models are open-weight only, releasing parameters while withholding the data provenance, curation procedures, and generation pipelines that determine model behavior.
A Low-Cost, High-Throughput Design-Build-Test Pipeline for Engineering Genetic Systems: Stress Testing with Complex Structural Proteins
Genetic systems engineering is constrained by high DNA synthesis costs, assembly inefficiencies, and challenges in expressing complex proteins. To address these limitations, we developed a highly parallel, low-cost pipeline for the design, assembly, and functional screening of genetic systems, which we stress-tested on highly repetitive structural proteins, including spider silk, biocements, reflectins, and talins. The integrated pipeline combines computational genetic systems design,...
US eyes stake in Azerbaijan's pipelines as economic ties enter new phase after Trump-brokered deal
Washington wants in on Azerbaijan's pipelines and energy infrastructure, a senior US official said in Baku, as the two countries deepen economic ties following Trump's White House peace deal with Armenia. The United States wants a direct stake in Azerbaijan's pipeline and energy infrastructure, a senior US official said on Thursday, signalling Washington's ambitions to deepen its foothold in a region long dominated by Russia and China. Speaking at the first Azerbaijan–US Economic Dialogue in...
Personalized reference genome-based pipeline reveals comprehensive haplotype-resolved views of cancer genomes
Cancer genome analysis relies on standard human reference genomes but detecting somatic alterations in highly repetitive or individual-specific regions remains challenging. We developed the Personalized Reference genome-based Cancer Genome Analysis Pipeline (PRCGAP), to our knowledge, the first comprehensive pipeline integrating haplotype-resolved analyses of somatic point mutations, structural variants, copy number, and DNA methylation on personalized diploid reference genomes. We applied...