Automated Workflows
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iSBEM: An Open-Source Workflow for Automated ROI Targeting in Volume Electron Microscopy
Serial Block Face - Scanning Electron Microscopy (SBF-SEM) is a volume EM method suited to investigate the 3D architecture of tissues and even entire organisms at high resolution. However, imaging large volumes in their entirety is time-consuming and not always necessary. Many research projects have a focused interest in well-defined sub-regions of the samples.
KBase Research Agent: Automated Multi-Agent Workflow Construction for Reproducible Genome Analysis
Constructing multi-step bioinformatics workflows, from read quality control through genome assembly to functional annotation, requires expertise in both biology and computational tool selection, creating a bottleneck for scalable and reproducible analysis. We present the KBase Research Agent, a multi-agent system for automating such workflows within the DOE Systems Biology Knowledgebase (KBase). Given a set of sequencing reads and a research objective, the agent constructs an analysis plan...
Context-Aware Workflow Decomposition for Automated Mobile UI Annotation Using Multimodal Large Language Models
arXiv:2606.02208v1 Announce Type: new Abstract: Accurate mobile user interface annotation is important for UI understanding, accessibility tools, automated testing, dataset construction, and GUI agents. However, mobile screens are difficult to annotate because they often contain small, dense, nested, and visually ambiguous elements. Multimodal large language models can help automate this process, but their outputs are sensitive to prompt design and the organization of annotation tasks.
Top 10 AI Tools in 2023 That Will Make Your Life Easier
this article, we explore the top 10 AI tools that are driving innovation and efficiency in various industries. These tools are designed to automate repetitive tasks, improve workflow, and increase productivity. The tools included in our list are some of the most advanced and widely used in the market, and are suitable for a variety of applications.
Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines
arXiv:2606.04641v1 Announce Type: new Abstract: Automated AI workflows increasingly rely on natural-language reasoning over heterogeneous data, but lack a practical way to execute it through optimized semantic data systems. Recent semantic operator systems, such as Palimpzest and LOTUS, expose declarative operators for filtering, joining, mapping, and aggregating over tables, text, and images using natural-language predicates. However, these systems require users to manually choose...
The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
Announce Type: replace Abstract: The rapid evolution of Multi-modal Large Language Models (MLLMs) has advanced workflow automation; however, existing research mainly targets performance upper bounds in static environments, overlooking robustness for stochastic real-world deployment. We identify three key challenges: dynamic task scheduling, active exploration under uncertainty, and continuous learning from experience. To bridge this gap, we introduce \method{}, a dynamic evaluation...
Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews
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CiliAI: Automated segmentation and compartment specific fluorescence quantification of primary cilia in confocal microscopy images
Primary cilia regulate essential signalling pathways controlling cell proliferation, differentiation, and tissue homeostasis. Quantitative analysis of ciliary morphology and compartment-specific protein localization by confocal microscopy is labor-intensive, user-dependent, and difficult to scale, particularly for multiplexed 3D image datasets. Here, we present CiliAI, a web-based deep-learning workflow for automated detection, substructure segmentation, and quantitative analysis of primary...
VeriHGN: Heterogeneous Graph-Based Congestion Prediction for Chip Layout Verification
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LegSegNet: A Public Deep Learning System for Lower Extremity CT Tissue Segmentation and Quantification
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