In silico NAMs, including computational approaches, can contribute to the development of novel Safe and Sustainable by Design chemicals and substances by identifying potentially hazardous ones at an early stage by identifying potentially hazardous ones at an early stage.
Dimitra-Danai Varsou, A. Tsoumanis, E. Longhin et al.· RSC Advances· 0 citations
The XAI-assisted Recurrent neural network Attribution for Channel Estimation (X-RACE) framework is proposed, and novel temporal XAI metrics: Saturation Time, Importance Drift, and Relevance Contrast are proposed to characterize the LSTM's learning dynamics and memory convergence.
This work applies a hierarchical clustering algorithm to analyse whether representations learned by a speaker recognition network from utterances naturally form hierarchical clusters, and proposes a new task, second-order pattern recognition, to identify which discovered second-order patterns characterising known utter...
Yanze Xu, Wenwu Wang, Mark D. Plumbley· 0 citations
In February 2024 the U.S. Federal Communications Commission (FCC) placed AI-generated voices under the Telephone Consumer Protection Act (TCPA). Yet no peer-reviewed measurement says how much unwanted call traffic is placed by a machine, or how much of that machine speech is synthesized rather than played from a record...
Unknown authors· 0 citations
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A novel PA-associated molecular axis in AD is revealed, with HDAC3 serving as a central epigenetic-metabolic regulator within astrocytes and being identified as a potential therapeutic target for AD.
Unknown authors· Frontiers in Neuroscience· 0 citations
A PRISMA-guided systematic review of 127 peer-reviewed studies to examine how machine learning (ML), deep learning (DL), Natural Language Processing (NLP), and Explainable AI (XAI) are transforming ESG rating analysis develops a tripartite framework classifying studies by the functional role of the ESG score.
Imane El Imami, A. el Alaoui, Bassma Guermah et al.· Journal of Risk and Financia...· 0 citations
Using the mission-oriented innovation policy system (MOIPS) for research and development (R&D) at the national level, this study explains how and when R&D spending on sustainable energy technologies drives the clean energy transition (CET).
The study utilises second-generation unit root tests, the Westerlund...
Unknown authors· Management of environmental...· 0 citations
This research presents a machine learning approach to predict the capacity degradation of lithium-Ion battery, integrated with Explainable AI to improve model explainability and shows that charge time has the most impact on capacity degradation prediction.
Qasim Masroor Mirza, Huzaifa Akram, Abdullah Tahir et al.· Engineering Headway· 0 citations
This paper distinguishes technical reliability from trust in AI-supported clinical decision-making, arguing that the two belong to distinct registers that current debates tend to elide and proposes replacing the expression "trustworthy AI" with "technically reliable AI," a distinction that relocates the conditions of t...
Miranda Boldrini, Damien Lacroux, Marie-Sophie von Braun et al.· AI and Ethics· 0 citations
An agility paradox linking reactive, efficiency-oriented AI adoption to potential constraints on proactive agile capabilities is developed, linking reactive, efficiency-oriented AI adoption to potential constraints on proactive agile capabilities.
Fang-Yuan Shen, Ting-Yue Quan· Journal of Enterprise Inform...· 0 citations
Evaluating the potential of AI in social insurance and to identify the conditions under which it can enhance institutional capacity without compromising legality, procedural justice, and public trust finds AI can enhance communication, case triage, document management, workload forecasting, and fraud identification.
D. Erokhin· Ubezpieczenia Społeczne. Teo...· 0 citations
The findings indicate that fairness-aware recommender systems increasingly integrate fairness objectives with recommendation performance, while highlighting persistent gaps in evaluation standardization, real-world deployment, scalability, interpretability, and cross-domain validation.
E. O. Ayiku, Ebenezer Tetteh· Magna Scientia Advanced Rese...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
