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2,720 papers
A disaster risk analysis model coupling Geographic Information Systems, ensemble machine learning, and AI-driven interpretation tools, collectively termed GeoAI, to support multi-hazard risk assessment, resilience planning, and citizen-oriented risk communication.
This study investigates how privacy has been conceptualized across technical, organizational, behavioral, ethical and governance perspectives and identifies key gaps and emerging challenges within the literature and contributes to the development of a more comprehensive perspective on privacy as a multidimensional issu...
This work examines the early use of an in-house generative AI health assistant designed to predraft documentation and streamline communication and explores the integration of electroencephalography data captured through brain-computer interface devices such as Galea and EMOTIV headsets.
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A systematic literature review of 125 peer-reviewed articles published between 2021 and 2026 to synthesise contemporary public-sector DT dynamics indicates that DT is predominantly conceptualised as a sociotechnical and public-value-oriented process shaped primarily by leadership, organisational culture and strategic a...
Results demonstrate that Adaptive-CGAN can improve diagnostic performance, synthetic image quality, computational efficiency, and environmental sustainability in AI-assisted healthcare.
This paper synthesizes peer-reviewed and carefully delimited contextual research on how generative AI use relates to undergraduate academic performance, with attention to what Canadian universities can already act on.
This study proposes SynGFN, which models molecular design as a cascade of simulated chemical reactions, enabling the assembly of molecules from synthesizable building blocks, as a bridge linking molecular design and synthesis, accelerating exploration and producing diverse, synthesizable, high-performance molecules.
This review provides a comprehensive overview of covalent docking algorithms, systematically categorizing their approaches according to covalent bond formation, which primarily include tethered docking, biased docking, and dynamic covalent docking approaches.
RAPiDock is presented, an all-atom diffusion model that predicts peptide–protein binding patterns across 92 amino acid types, enabling high-throughput virtual screening for advancing therapeutic peptide design and serve as a powerful tool for high-throughput virtual screening with structural precision.
NavDB is a specialized and open-access database focusing on VGSC modulators and targets that integrates 8023 curated data records covering 5168 compounds, including small molecules, toxins, drugs, and peptides, along with comprehensive annotations on biological activity, druggability, and structural feature.
This work aims to discuss the features and the generative performance of different types of molecular generative models for the PROTAC design task and help researchers to better apply these models in practical cases.
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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