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2,947 papers
Artificial intelligence methods now span the drug-discovery pipeline—structure prediction, de novo design, docking, affinity estimation, and ADMET—yet each tool ships with its own, often incompatible, GPU software stack, so chaining several into a workflow requires reproducing conflicting software environments and acce...
This mini-review synthesizes validation and regulatory challenges unique to mNGS-based diagnostics and describes how laboratories and developers currently navigate available pathways, focusing on core analytical and clinical validation challenges.
The canonical region graph is proposed, an input representation whose nodes, features and coordinate frame are derived from the solid itself and show theoretical invariance guarantees on repartitioning and rigid motions and matches the strongest baseline on standard benchmarks, and is stable under every perturbation th...
EBL-Core, an execution-boundary conformance profile for deciding whether one canonical, fully materialized AI-generated candidate may receive action-scoped execution authority under explicit conditions, is specified.
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These results establish that reviewers can deploy a maintainable modernization with a clearly bounded performance trade-off, offering a reusable validation framework for clinical NLP modernizations.
In this Thai subpopulation, the confluent MMC, particularly the subtype with an isthmus, was the most common and the MMC exhibited the smallest dentine thickness, especially in the middle and apical thirds.
Aim: The aim of the study was to evaluate the psychosocial, economic, and health impacts of prolonged power outages in Nigeria. Study Design: A convenience sample was used for the study. Materials and Methods: A semi-structured questionnaire was used to explore the psychosocial effects of electricity power outages in...
This study was motivated by the still-low teaching readiness of Accounting Education students at Medan State University, as identified through a pre-survey, particularly in the psychological (36.50%), mental (31.75%), and moral (33.33%) aspects, which prompted the researcher to examine the factors influencing it. This...
Information and communication technology developments have driven the utilization of gadgets as potential learning media. However, student gadget use is still dominated by entertainment. This quantitative research, employing a survey method, aims to determine the effect of gadget media usage on reinforcing the Graduate...
This study evaluates a Thai area-based research funding portfolio using an explainable multi-label text classification framework. The analysis used 629 project records containing project titles, innovation descriptions, funding-source metadata, year, and binary poverty-related labels. Seven labels with sufficient suppo...
This article extends established methods for determining dosimetric quantities characterising monitored photon fields and for estimating the superficial activity of 137Cs and the concentrations of K, U, and Th in the soil surface layer from spectra acquired during in-situ environmental monitoring on the ground or using...
The system centralizes news data and provides period-based summaries and printable reports, reducing dependence on manually prepared documents, but the system has not yet been deployed for operational use or evaluated quantitatively.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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