AI & Machine Learning · Computer Science & AI
Neural & Evolutionary Computing
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324 papers, from 4 September 2026 to 5 November 2026: 324 arXiv preprints.
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Newest papers, page 8
From the Drosophila Visual Connectome to General-Purpose Computer Vision
Biological connectomes encode structured solutions to visual computation that may provide reusable inductive biases for artificial vision.A Connectome Test of the Fly Hashing Algorithm
Dasgupta, Stevens and Navlakha (2017) showed that the Drosophila olfactory circuit, modelled as a random sparse projection followed by winner-take-all, is a locality-sensitive hash that beats…Energy-Efficient Spiking Neural Networks for Sensing-Aided Beam Prediction
Sensing-aided beam prediction can reduce the beam-training overhead of millimeter-wave (mmWave) systems by leveraging environmental information from complementary modalities such as vision and…From communication to computation in neurons-on-a-chip: an in silico study of neurotopomorphic computing
Living neuronal networks transform inputs through recurrent cellular and population dynamics, yet it is unknown which network architecture supports which computation.A Flexible and Generic Approach for Explainable Landscape Analysis and the pyXla Toolbox
Landscape analysis has been successfully applied to understand complex optimisation problems, gain insights into algorithm behaviour, and automate algorithm selection and configuration.Visual Swarm Navigation via Deep Reinforcement Learning and Evolutionary Hybrid Design
Swarm robotics presents a robust and cost-effective paradigm for advanced automation in complex, dynamic environments, such as those encountered in search and rescue or environmental monitoring.Synapse Loss Estimation for the BrainScaleS Wafer-scale Neuromorphic System
Neuromorphic hardware combines memory (synapses) and computation (neurons) into the same silicon substrate to avoid the von-Neumann bottleneck.Simplified Swarm Optimization for Surrogate-Assisted Reliability Design of Insulated-Gate Bipolar Transistor Power Modules Using an Open-Source Process Finite-Element Model
Process-induced warpage, ceramic stress and solder strain limit the reliability of insulated-gate bipolar transistor (IGBT) modules on direct-bonded copper (DBC) substrates.AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding
Frameworks that use large language models for scientific discovery typically rely on a fixed, human-designed algorithm that decides what the model sees at each step, leaving the model only the role…Optimization Geometry of QAOA and Variational Quantum Algorithms
Variational quantum algorithms turn choices of Hamiltonian, ansatz, and parameterization into a classical nonconvex optimization problem.Adaptive Operator Selection in Bilevel Large Neighborhood Search for Electric Autonomous Dial-a-Ride Problem under Uncertainty
The electric autonomous dial-a-ride problem (EADARP) extends the classical dial-a-ride problem by incorporating battery and charging constraints for electric vehicles.Chance-Constrained Bi-Objective Evolutionary Optimization for the Open-Pit Mining Operational Planning Problem
Open-pit mining operational planning involves allocating limited resources while satisfying production, equipment, and ore-quality requirements.Robust Optimization of Spring Design under Variable Manufacturing Tolerances
A reliable assessment of an optimizer robustness requires tracking controlled changes in parameters to identify sources of algorithmic weakness.Active-DiNTS: Active Differentiable Network Topology Search
Neural Architecture Search (NAS) has proved to be a strong alternative to manual network design, but applying it to 3D medical image segmentation is limited by two well-known costs, large annotation…MOXIE: Discovering Alternative Explanations for Biomedical Image Classifiers
Segment-based explanation methods such as LIME return a single explanation for each prediction, computed from one fixed image segmentation.Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era
As Artificial Intelligence (AI) has evolved from task-specific models to foundation models and agents, the scope of trustworthy AI has expanded from model-level robustness to the reliability and…Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability
Intrinsic explainability remains a challenging problem, particularly in contexts where multilayer perceptrons (MLPs) require dynamic re-training within an optimization environment.Small universal multiset reaction systems
This paper presents a construction of a small universal machine within the framework of Multi-set Reaction Systems.Learning While Inferring: Local and Parallel Learning for Edge SNNs across Sensing Modalities
Edge intelligence requires models to sense continuously in real time and to keep adapting on-device, all under tight compute, energy, and memory budgets.Aggregate accuracy conceals concentrated temporal vulnerability in a spiking speech classifier
Aggregate accuracy cannot reveal which utterances are locally vulnerable or how internal activity changes when labels remain stable.