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AI & CognitionOpenAlex2026-07-02Preprint (55)

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HUMAN-MACHINE RELATIONSHIPS IN THE AUTOMATION INDUSTRY: ROBOTICS, ARTIFICIAL INTELLIGENCE AND AUTOMATION APPLICATIONS

Khalid Kalbiyev, İsmet Anıtsal, Meral Anitsal

The interaction of robotics and artificial intelligence (AI) has profoundly impacted the automation industry. Integration of advanced technology to automation processes opens up new opportunities to achieve levels of quality and productivity not previously feasible. Automated processes are transforming more adjustable and smart systems, utilizing the capabilities of AI and intelligent robots to boost efficiency or...

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AI & CognitionarXiv2026-07-02Skeptical (25)

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Neuron-Aware Active Few-Shot Learning for LLMs

Zhuowei Chen, Liwei Chen, Christian Schunn et al.

Active Few Shot Learning (AFSL) adapts LLMs to specialized domains by identifying the most valuable unlabeled samples for annotation and use as few shot demonstrations, effectively reducing human annotation costs while promoting high performance. However, existing methods typically rely on output level signals for sample identification, such as predictive entropy or semantic similarities with test time data based ...

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AI & Cognition

HUMAN-MACHINE RELATIONSHIPS IN THE AUTOMATION INDUSTRY: ROBOTICS, ARTIFICIAL INTELLIGENCE AND AUTOMATION APPLICATIONS

Neuron-Aware Active Few-Shot Learning for LLMs

Neuron-Aware Data Selection for Annotation-Free LLM Self-Distillation

FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming

Extraction of brainprint by means of autoencoder with attention mechanism

Single-subject auditory ERP-BCI performance enhancement in ALS via an AI coding assistant prompt

Transhumanism from the Perspective of Classical Islamic Philosophical Ethics (CIPE)

Language-Critique Imitation Learning from Suboptimal Demonstrations

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

RAFIQ NeuroGuardian™: A Theoretical Framework for Adaptive Modeling of Non-Stationary Neural Dynamics in Brain | Computer Interfaces

The effect of rehabilitation training based on brain-computer interface on limb function in stroke patients: a systematic review and meta-analyses

Quantum vs. Classical Machine Learning: A Unified Empirical Comparison

Decision-Aware Training for Sample-Based Generative Models

FastBridge: Closing the Model-Based Realization Gap in Safety Filters on 3D Gaussian Splatting for Fast Quadrotor Flight

Optimal Resource Utilization for Autonomous Laboratory Orchestrators

Neural Certificate Pricing for Combinatorial Optimization Problems

Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations

Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation

Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?