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2,807 papers
This research utilizes explainable artificial intelligence (XAI) techniques to explore the relationship between size-sorted environmental, social, and governance (ESG) portfolio indices (large-cap, mid-cap, and small-cap ESG portfolios) and their corresponding base indices (large-cap, mid-cap, and small-cap portfolios)...
Crop diseases constrain global agricultural productivity and food security, particularly for smallholder farmers who lack timely, affordable diagnostic tools. Artificial intelligence and machine learning have transformed automated crop disease detection, but much reported performance rests on controlled laboratory data...
Code and experimental evidence supporting Calibrated Residual Tube Projection During Conditional Diffusion Sampling for Thermal Time Series, by Hyojin Park and Jinhong Yang (corresponding author). The release contains the selected B6 checkpoint, original method implementations, exact simulator and score settings, froze...
The exponential growth of malware variants, propelled by automated obfuscation, polymorphism, and AIassisted code generation, has rendered signature-based and heuristic detection ineffective.This paper proposes MalXGraph-ViT, a multi-stage framework integrating grayscale visual feature extraction, Global Context Vision...
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Artificial intelligence (AI) and Machine learning (ML) are transforming the pharmaceutical lifecycle—from target identification and lead optimization to clinical development, manufacturing, supply chain orchestration, and real-world pharmacovigilance. This review synthesizes recent advances (2018–2025) across core meth...
Artificial intelligence (AI) is altering plant biotechnology by solving significant problems in tissue culture and bioreactor systems, including variability, man-power intensity, and poor reproducibility. Machine learning (ML) algorithms and artificial neural networks (ANNs) have opened the capability of simulating com...
Full Changelog: https://github.com/attogram/fantastic-octo-giggle/compare/0001...0002 42 and the Open Error Foundation: An Academic Interpretation Abstract The relationship between 42 and the Open Error Foundation (i.o.) can be understood as more than a recurring joke, reference, or organizational number. It can functi...
Artificial intelligence (AI) has emerged as a transformative force in plant genetics and genetic engineering, addressing long-standing challenges in trait complexity, breeding cycle duration, and genome-editing precision. The convergence of machine learning, deep learning, and multi-omics integration enables the decodi...
Full Changelog: https://github.com/attogram/fantastic-octo-giggle/compare/0001...0002 42 and the Open Error Foundation: An Academic Interpretation Abstract The relationship between 42 and the Open Error Foundation (i.o.) can be understood as more than a recurring joke, reference, or organizational number. It can functi...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22851045. Summary - This study examines digital financial service adoption among 663 active microfinance borrowers in Ranchi district, Jharkhand, using a TAM/UTAUT-based survey admi...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22851045. Summary - This study examines digital financial service adoption among 663 active microfinance borrowers in Ranchi district, Jharkhand, using a TAM/UTAUT-based survey admi...
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 30, 2026
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
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