Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development

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Edinburgh, United Kingdom

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Closes: Jul 7, 2026

Detecting Hostile Behaviour Through Real-time Voice Analysis

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Worcester, United Kingdom

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Closes: Jul 7, 2026

Adaptive and robust deep reinforcement learning for drone systems

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London, United Kingdom

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Closes: Jul 7, 2026

Benchmarks for Data Clustering Algorithms in Data Science

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London, United Kingdom

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Closes: Jul 7, 2026

Multi-Language Statistical Classification of Natural and Computer-Generated Texts

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London, United Kingdom

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Closes: Jul 7, 2026

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

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London, United Kingdom

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Closes: Jul 7, 2026

Metadata-based Deep Learning to estimate the quality of Wikipedia Articles

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London, United Kingdom

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Interpretable Genomic Language Model Architectures for Large-Scale Variant Effect Prediction

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London, United Kingdom

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Intelligent Hybrid Black-Box Steganography: An AI-Enhanced Approach for Secure Data Embedding

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London, United Kingdom

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Closes: Jul 7, 2026

Experiment- and Human-Guided Representation Learning for Accelerated Chemical Discovery (Liverpool–Manchester)

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Liverpool–Manchester

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Closes: May 30, 2026

Machine-Based Behaviour and Intent Prediction for Complex Aviation Environments

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Glasgow, United Kingdom

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Closes: Jul 7, 2026

Unified Theory of Efficient Sequential Architectures: Structured Representations, Approximation Bounds, and Scaling Laws

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Bristol, United Kingdom

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Closes: Jun 30, 2026

Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI

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Guildford, United Kingdom

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Closes: May 31, 2026

Resilient Intelligent Traffic Systems with Learning Optimisation and Chance Constraints (Ref: CO/YX-SF2/2026)

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Loughborough, United Kingdom

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Closes: Sep 1, 2026

Decision Tree Induction from Small Language Models for Black-Box LLM Adaptation

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Cardiff, United Kingdom

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Closes: Jul 6, 2026

Automatic calibration of electrooculography data for accurate quantification of eye-movements (NEWMANJ_U26CMP)

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Norwich, United Kingdom

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Closes: Jul 6, 2026

Adaptive and robust deep reinforcement learning for drone systems

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London, United Kingdom

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Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development

Detecting Hostile Behaviour Through Real-time Voice Analysis

Adaptive and robust deep reinforcement learning for drone systems

Benchmarks for Data Clustering Algorithms in Data Science

Multi-Language Statistical Classification of Natural and Computer-Generated Texts

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

Metadata-based Deep Learning to estimate the quality of Wikipedia Articles

Interpretable Genomic Language Model Architectures for Large-Scale Variant Effect Prediction

Intelligent Hybrid Black-Box Steganography: An AI-Enhanced Approach for Secure Data Embedding

Experiment- and Human-Guided Representation Learning for Accelerated Chemical Discovery (Liverpool–Manchester)

Machine-Based Behaviour and Intent Prediction for Complex Aviation Environments

Unified Theory of Efficient Sequential Architectures: Structured Representations, Approximation Bounds, and Scaling Laws

Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI

Resilient Intelligent Traffic Systems with Learning Optimisation and Chance Constraints (Ref: CO/YX-SF2/2026)

Decision Tree Induction from Small Language Models for Black-Box LLM Adaptation

Automatic calibration of electrooculography data for accurate quantification of eye-movements (NEWMANJ_U26CMP)