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2,720 papers
Recent advances in text-to-video (T2V) diffusion models have demonstrated remarkable generative capabilities, yet their reliance on loosely curated training data raises pressing safety and copyright concerns. Concept erasure offers a principled remedy by removing unwanted semantics from pretrained models while preservi...
A case study in a large software development services company found that software professionals experience accountability anxiety, craft identity disruption, meaning and satisfaction erosion, cognitive and workload intensification, and uncertainty distress during organizational AI adoption.
Provenance Density is proposed, an evidence-visualization interface that shows the density of verified claims in a text that produced a large discernment gap between truth and fabrication in a user study.
This research is motivated by the increasing complexity of chemical processes and the growing demand for robust, non-invasive monitoring and control solutions in the context of the ongoing digitalization of the chemical industry. Many critical aspects of chemical processes, such as phase behavior, flow patterns, and fo...
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uptake of generative AI may have influenced health administration, workflow, electronic charting, disease interrogation for information and learning, utility of AI or the notion of autonomous microsurgery is still somewhat remote. 4 Is it thus time to revisit the role of machine advances with digital innovation, AI and...
Artificial intelligence has become an increasingly influential presence in educational communication, yet scholarly debate continues to frame it primarily as either a threat to authentic dialogue or a tool for improving efficiency. This article argues that both perspectives overlook a more fundamental educational quest...
Recent progress is reviewed in applying AI for neuroscience along this scale axis: structure prediction for proteins, simulation-based inference for biophysical neurons, latent and dynamical models for neural populations, task-trained networks as minimal models of circuit computation, computer vision for animal behavio...
This chapter examines the AI and emerging technologies reshaping teaching-focused higher education and develops the mechanism framework that gives those technologies strategic meaning. This chapter opens by tracing an AI capability spectrum, moving from established machine learning applications to generative AI to expe...
This repository contains the complete supplementary materials, computational pipelines, datasets, and statistical validation files supporting the manuscript: "Quantifying the Philosophical Signatures of Marcus Aurelius and Epictetus using Lexical Diversity and LLM Classifiers" (Walter N. Moss). Repository Files and Des...
Replication package for the manuscript "Perfect prediction makes a poor prescription for curriculum retention", version 2.1, prepared for the Journal of the Operational Research Society. No analysis has changed since version 1.0. The analysis scripts, the checking scripts, the tools and every derived result table are b...
Time‑Accumulated Vacuum Cosmology v3.6 FEU: Proper‑Time Modulated Vacuum with Early‑Time Suppression and Density‑Dependent Screening FEU v3.6 is the latest corrected and stabilized version of the Time‑Accumulated Vacuum Cosmology framework. The model extends ΛCDM by introducing a small, smooth modulation of vacuum ener...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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