SCADA
PulseAugur coverage of SCADA — every cluster mentioning SCADA across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI researcher finds 4 severe bugs in industrial control software
An AI security researcher discovered four critical vulnerabilities in industrial control software, including three high-severity bugs in EPICS. These flaws could potentially disrupt sensitive research experiments. The r…
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New AI architecture and benchmark proposed for autonomous mining operations
A new paper proposes EI2ROC, a multi-agent AI architecture designed to enhance productivity in mining operations by integrating various systems like SCADA and digital twins. This architecture aims to address the gaps in…
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New statistical method improves regression analysis beyond LASSO
Researchers have developed a new statistical method using folded concave penalties (FCP) to improve parameter estimation and variable selection in high-dimensional regression models, particularly when dealing with coint…
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Pakistan oil firm designs sovereign AI for HSE incident prediction
An oil and gas operator in Pakistan requires an air-gapped AI system for its health, safety, and environment (HSE) department to predict incidents before they occur. The proposed architecture emphasizes self-hosted mode…
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New HydroJEV model offers rapid, training-free cyber-attack detection for water networks
Researchers have developed HydroJEV, a novel, training-free model designed for rapid cyber-attack and fault attribution in water distribution networks. Unlike traditional supervised classifiers that require extensive la…
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Energy industry's AI challenge is data interoperability, not AI itself
The energy industry's primary challenge is not a lack of AI, but rather a significant data interoperability problem across its fragmented information systems. Companies are urged to focus on creating a cognitive orchest…
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Top IT providers ranked for manufacturing cloud migration
A guide ranks six managed IT providers based on their ability to migrate manufacturing servers to the cloud, emphasizing production-specific needs over generic IT solutions. Andromeda is highlighted as the best overall …
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AI methods benchmarked for renewable energy optimization and forecasting
A new study published on arXiv details a comparative benchmarking of various AI methods for optimizing and forecasting renewable energy farms. The research evaluated conventional machine learning, ensemble learning, dee…
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New STREAM framework enhances industrial energy data acquisition
A new framework called STREAM has been developed to improve industrial energy data acquisition by focusing on the specific objectives of energy performance assessments. This framework ensures that the collected data is …
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Manufacturing AI initiatives hampered by outdated data architectures
Manufacturing operations are facing an "AI readiness gap" due to outdated data architectures that rely on delayed and aggregated information rather than real-time machine data. While significant investments have been ma…
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New 1RSB-AMP method improves sparse signal reconstruction
Researchers have developed a new method for reconstructing sparse signals using a technique called one-step replica-symmetry-breaking (1RSB) approximate message passing (AMP). This approach, termed 1RSB-AMP, extends exi…
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Nvidia open-sources cuFile, setting GPU storage standard with Google, Intel, Meta
Nvidia has open-sourced its cuFile storage stack, establishing it as an industry standard for GPU-driven data access. The technology, now available on GitHub under the Accelerated IO Special Interest Group, allows GPUs …
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New 'Industrial Tokenization' concept bridges industrial data and LLMs
Researchers have introduced Industrial Tokenization, a novel concept for transforming diverse industrial data into structured, machine-interpretable units called Industrial Tokens. This approach aims to bridge the gap b…
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New AI framework integrates weather and turbine data for wind power forecasting
Researchers have developed a new multimodal framework for short-term wind power forecasting that integrates SCADA data from wind turbines with numerical weather prediction (NWP) forecasts. This approach addresses the ch…
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Clustering algorithms improve wind farm SCADA data filtering
A new paper proposes using clustering algorithms to filter anomalies and operational modes from wind farm SCADA data. The research compares the accuracy of various clustering methods against manual filtering, introducin…
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New framework demixes sparse signals using non-convex regularization · 2 sources tracked
Researchers have developed a new regularization-based framework for demixing sparse signals from nonlinear observations. This framework combines a Huberized data fidelity term with generalized folded-concave penalties l…
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Open-Source AI CAD Tool 'Adam' Launches with Browser-Based Generation
Adam, an open-source AI-powered CAD tool, has been launched and is available via GitHub. The tool allows users to generate CAD models from natural language descriptions and offers parametric controls for adjustments. It…
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AI framework tackles water loss in Jordan using LLMs
Researchers have developed an AI-driven framework to combat water scarcity in Jordan by reducing non-revenue water (NRW), which accounts for 50% of water loss. The system integrates hydraulic modeling, digital twins, SC…
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AI and ML enhance industrial control system security
Artificial intelligence and machine learning are being integrated into industrial control systems (ICS) to enhance anomaly detection and operational resilience. While these technologies offer improved security and trans…
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Nvidia SCADA Servers Offer Petabytes of GPU-Accelerated AI Storage
Wiwynn has unveiled a new Nvidia SCADA (SCaled Accelerated Data Access) server designed for AI data centers. This server can store up to 2.9 petabytes of data and utilizes GPU acceleration to bypass traditional CPU bott…