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data science

3,683 papers

#machine learning Preprint Oct 2026

Learning smooth dynamics via Kinematic Interpolants

This paper introduces Kinematic Interpolants (KI), a novel framework that extends the seminal methodology of stochastic interpolants to infer nonlinear dynamics across multiple snapshots in phase space, i.e., observables with position and velocity measurements.

Yi-Heng Jiang, Youssef M. Marzouk, A. Bose et al. · 0 citations
#artificial intelligence Review Open access Jan 2021

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

A conceptual framework linking data quality assurance, feature engineering, model training and reliability testing, and deployment to an agent population is proposed, closed by a cross-agent monitoring and feedback loop.

Harsh Verma · 0 citations
#artificial intelligence Review Open access Jan 2026

Scalable Real-Time Data Pipelines for AI and Machine Learning–Driven Enterprise Systems

It is concluded that horizontally scalable, log-based messaging, combined with fault-tolerant, in-memory and micro-batch computation and durable, replicated storage constituted the technical foundation that made real-time, ML-driven enterprise analytics feasible within this period and that this layered architecture con...

Harsh Verma · 0 citations
#data science Review Open access Nov 2026

Comparative Evaluation of Pegcetacoplan and Placebo on the Progression of Geographic Atrophy in Dry Age-related Macular Degeneration: A Systematic Review and Meta-analysis of Randomised Controlled Trials

Introduction: As a late-stage dry Age-related Macular Degeneration (AMD), Geographic Atrophy (GA) historically, has had few effective therapeutic options, but pegcetacoplan (marketed as Syfovre) was recently approved by the Food and Drug Administration (FDA) for this indication in 2023. Pegcetacoplan inhibits C3 compon...

P. Abhisek, D. Choudhury, S. Pradhan et al. · 0 citations
#data science Review Open access Oct 2026

Effective Strategies for Learning Solving Well-Structured Problems in STEM Education: A Systematic Literature Review

Problem-solving is central to STEM in higher education, yet evidence on effective learning strategies for problem-solving remains fragmented across cognitive psychology and discipline-specific research. This systematic literature review, conducted following the PRISMA framework, identifies, categorizes, and analyzes em...

Gabriel Taban, Jorrick Beckers, Felicitas Biwer et al. · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/TestIlluminaGenotypingArray

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/RNAWithUMIsPipeline

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/run_preprocess_admixture_est_rye

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/ArrayImputationQC

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/FilterandQCVariants

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/TestMultiSampleSmartSeq2SingleNucleus

WDL Analysis Research Pipelines The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform...

broadinstitute · 0 citations
#data science Open access Oct 2026

github.com/broadinstitute/warp/ImputationBeagle

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations

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GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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