generative ai

Neither Haecceity nor Non-Individual: Dispositional Individuation and the Identity of Indiscernibles

STATUS. Preprint, not peer reviewed. Prepared for submission to Philosophical Studies; no journal acceptance is claimed or implied. Kant's droplets, Black's spheres and same-type quantum particles pose the problem of plurality with qualitative indiscernibility. This paper distinguishes discernment, which compares avail...

VIRGINIA TECH Comprehensive AI Governance & Activity Inventory

A public-source inventory of artificial intelligence governance, teaching, research, and operations at Virginia Tech. Evidence snapshot date: September 26, 2026. The document records what the university has said and done publicly about AI as of that date. It is not an audit, maturity assessment, or scorecard. Part I co...

Thinking with AI or Thinking Less? A Narrative Review of Generative AI Dependence, Cognitive Offloading, and Human Cognitive Functioning

A key finding of this review is that whether GenAI is used at all is less critical than which functions are offloaded, which are maintained, and the extent to which users remain epistemically responsible for the resulting output.

Generation and Evaluation of Privacy-Preserving Tabular Synthetic Data Using Self-Attention Generative Adversarial Networks

The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) have led to the generation of synthetic data using Generative Adversarial Networks (GANs). The generation of high-fidelity synthetic data has become increasingly important in various fields, including healthcare, finance, and social scienc...

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...