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2,868 papers
Abstract Generative AI (GenAI) applications are non-deterministic. That is the same input can produce different outputs from run to run, and increasingly it is the prompt, not a line of code, that stands between an unpredictable model, and a system people can rely on. Despite this, most AI-powered applications (i.e., a...
Modern humans run an inherited psychological operating system. Its deepest layer is conserved primate social architecture; call it the firmware. It sorts people into ours and theirs, then helps determine whom to copy, whom to submit to, whom to desire, and whom to tend. This machinery was calibrated in small, repeatedl...
Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognise...
This dataset is a publicly available, multi-clinic dental imaging database that aims at furthering studies on artificial intelligence (AI), computer vision, and computer-aided diagnosis (CAD) based on panoramic dental radiographs (orthopantomogram or OPG). This database includes 2,095 completely anonymized panoramic de...
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This study is motivated by the increasing use of Artificial Intelligence (AI) in learning and the critical role of the learning environment in shaping students’ academic performance. However, a gap persists between the potential of AI utilization and the quality of learning environments in achieving optimal academic ou...
An integrated model in which Auditor Trust in AI Systems mediates the effects of AI Predictive Capability, Explainable AI, Data Quality, and AI Governance and Internal Control Quality on Perceived Financial Reporting Fraud Detection Effectiveness shows that AI-enabled fraud detection is a socio-technical outcome that d...
Although ChatGPT facilitates access to information, excessive reliance may weaken students’ ability to monitor and reflect on their learning, highlighting the need for educational policies that integrate digital literacy to promote responsible AI use while maintaining learning independence.
The results showed a high level of interpretive AI readiness at the company under study, with a direct and positive, significant impact of readiness on the quality of operational decisions at a significance level of (P 0.05).
STeREx-Net should be viewed as a human-supervised forensic research framework with explicitly characterized robustness, localization, and generalization boundaries rather than as a universally robust detector.
A structured narrative synthesis of the 2015–2026 literature indicates that deep learning architectures—particularly two-dimensional correlation spectroscopy (2DCOS) combined with residual networks—have been reported to achieve 98–100% classification accuracy for several forest-sourced species under controlled laborato...
Findings indicate that the scale is both valid and reliable, providing a robust tool for measuring preservice teachers' attitudes toward AI technology, and has a generally acceptable level of validity.
A Blog post by Dharma-AI on Hugging Face
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
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.
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