generative ai

MIDAS: An Energy-Efficient Microscaling Quantization-Based Digital CIM Accelerator With Spatio-Temporal Cyclic Alignment for Generative AI

Digital compute-in-memory (DCIM) and the microscaling (MX) data format have emerged as promising hardware and algorithmic solutions, respectively, for energy-efficient generative AI (GenAI) processing. However, their combination introduces challenges, including redundant computation from mantissa alignment, excessive e...

A 11.0-TOPS/W Diffusion Accelerator With Temporal Data Reuse for Real-Time Text-to-Motion Generation

Text-to-motion models are AI systems that generate human motion sequences directly from natural language descriptions, serving as key enablers for immersive virtual avatars and interactive digital humans in AR/VR ecosystems. However, state-of-the-art text-to-motion diffusion models suffer from substantial computational...

Beyond the Hype: The Efficiency-Throughput Gap with GitHub Copilot

Investigating the real-world impact of GitHub Copilot on software engineering, this field study uncovers a critical disconnect between gains in individual developer efficiency and improvements in organizational throughput. Using a multi-method approach, we employed the Organizational Ohm’s Law framework and integrated...

Preserving Human Judgment in AI-Assisted Research: An Exploratory Cross-Institutional Study of University Governance, Ancient-Text Interpretation, and the Scalable Oversight Problem

Generative artificial intelligence is moving beyond editing and search assistance into substantive research activities involving interpretation, synthesis, translation, hypothesis development, data analysis, and scholarly writing. This creates a governance problem broader than hallucination: researchers may remain form...

Generative AI Enhancing Creativity in Eco-Friendly Marketing

Review of AI-driven discovery of cathode anode and electrolyte materials for advancing sodium-ion batteries

Sodium-ion batteries (SIBs) are emerging as a sustainable, cost-effective alternative to lithium-ion batteries (LIBs) for grid storage, electric vehicles, and electronics. However, commercialization depends on overcoming the performance bottlenecks in energy density, kinetic rates, and safety. Artificial Intelligence (...

AI Control Model v2.0: Internal Dynamics Expansion of a Tri-Phase Generative Control Framework

AI Control Model v2.0 extends the foundational tri-phase generative control framework introduced in v1.0 by formalizing the internal dynamical structure of the deep-state vector b(t). The model introduces multi-component deep-state dynamics, internal oscillatory modes, cross-phase coupling operators, and a stability en...

PREreview of "Cutibacterium acnes-derived short-chain fatty acids drive lipogenesis and induce holocrine secretion in human sebocytes"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22958917. The experimental framework mapping how Cutibacterium acnes-derived short-chain fatty acids (SCFAs) modulate intracellular lipogenesis and trigger downstream holocrine secr...

Guidance over guidelines? Unpacking the uses and concerns of generative AI in communication science

Artificial intelligence in science education with a focus on life and earth sciences a bibliometric analysis of global research trends from 2015 to 2025

Given the sustained and extraordinary growth of scientific output, it is crucial to map in detail its intellectual structure and its evolutionary processes. This research provides a detailed bibliometric analysis of AI in education publications using Scopus indexed data from 2015 to 2025. We analyzed a corpus of 779 pu...

Adapting the Lamfalussy Procedure for AI Regulation in the European Union: A Multi-Level Framework Combining Flexibility and Legal Certainty

The EU AI Act 2024 suffers from regulatory lag: static legislation cannot match Generative AI's exponential evolution. This paper proposes Lamfalussy 2.0, adapting the 2001 financial markets framework to AI governance through four levels: Level 1 (immutable principles: safety, transparency, non-discrimination), Level 2...

Likeness Notes: An AI-Realized Concept Album as a Field Experiment in Declared Intent, Cybernetic Workflows, and Methodology

Likeness Notes Synopsis Likeness is an independent, thirteen-track Indie Folk concept album realized entirely through multimodal generative artificial intelligence (Google Gemini 3 and Lyria 3), accompanied by an exhaustive monograph. Rather than treating artificial intelligence as a push-button novelty or a tool for a...