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#artificial intelligence Review

Triboelectric nanogenerator motion sensing for embodied artificial intelligence: A review of performance evaluation between human and humanoid robots

Jian Li Ge-Fan Yin Cong Gu Yadong Mo Chen-Hao Li Si-Kai Wang Xiang-Yan Zhang Xiang-Jie Xu Zi-Sheng Guo Shi-Min Wei
Nov 2026 · Chemical Engineering Journal · 0 citations · 352 references
DOI Semantic Scholar
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#artificial intelligence Review Dec 2025

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025

Investigating how experienced developers use agents in building software, including their motivations, strategies, task suitability, and sentiments finds that while experienced developers value agents as a productivity boost, they retain their agency in software design and implementation out of insistence on fundamental software quality attributes.

Ruanqianqian Huang, Avery Reyna, Sorin Lerner et al. · 19 citations · ⚡1
#artificial intelligence Review Open access Jan 2026

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

This systematic review evaluates 55 studies from 2017 to 2023 on the application of machine learning techniques to ASD, highlighting key challenges and opportunities, particularly the need for models that can integrate complex data to improve diagnostic accuracy and treatment outcomes.

Rafael Muñoz-Terol, Jesús Peral, Sandra Amador et al. · 4 citations · ⚡1
#artificial intelligence Apr 2026

Convergent Evolution: How Different Language Models Learn Similar Number Representations

This paper identifies two different routes through which models can acquire geometrically separable features: they can learn them from complementary co-occurrence signals in general language data, including text-number co-occurrence and cross-number interaction, or from multi-token addition problems.

Deqing Fu, Tianyi Zhou, Mikhail Belkin et al. · 3 citations
#artificial intelligence Open access Feb 2025

Iterative Flow Matching - Path Correction and Gradual Refinement for Enhanced Generative Modeling

This work explores image generation using flow matching using flow matching and proposes an iterative process that can be integrated into virtually any generative modeling technique, thereby enhancing the performance and robustness of image synthesis systems.

Eldad Haber, Shadab Ahamed, Md Shahriar Rahim Siddiqui et al. · 3 citations
#artificial intelligence Review Jun 2026

Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspective

This survey model agent state as a dynamic graph, where memories, tools, skills, workflows, and inter-agent relations are represented as typed nodes, edges, and subgraphs updated through schema-constrained rewrites to provide a compact structural lens for designing and governing self-evolving agents.

Yuanyuan Xu, Wenjie Zhang, Yin Chen et al. · 2 citations
#artificial intelligence May 2026

When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition

A benchmark built on the Speech Accessibility Project (SAP) dataset is introduced that tests whether diagnosis labels, clinician-derived speech ratings, and progressively richer clinical descriptions improve transcription accuracy for dysarthric speech, finding that current models do not meaningfully use this context.

P. Moure, Niclas Pokel, Bilal Bounajma et al. · 2 citations

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