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438 papers
MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.
This work attempts to design core layer in campus network employing best practices of network topology and routing protocol at the layer with a use case of core layer in a university campus network using software-defined networking (SDN) paradigm.
This work presents CropCop, a closed-set recognition system spanning 120 operational plant-health classes and an evidence chain from corpus reconstruction to direct execution of the final quantised artifact that establishes strong leakage-controlled internal recognition and software-runtime fidelity.
The findings show that the physical characteristics of FXS are variable in the Asian group but similar to those in other populations and are not recommended for early recognition.
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The developed device met the objectives of the study, being able to monitor the balance in different difficulties, however, a longer period of volunteer testing is required to determine the effect of the device on long-term balance.
The system advances prior physical Turing Machine demonstrations through autonomous execution, reprogrammable optical input, and quantitative evaluation of its mechanical, optical, and computational performance.
The reduced segmentation time and consistent performance across CBCT systems support the potential integration of cloud-based AI segmentation into digital dental workflows, especially for anterior teeth, where accurate morphology is clinically relevant.
Current evidence suggests that digital health technologies, as a supplement to conventional rehabilitation, may help improve certain functional outcomes, psychological health, and quality of life in patients with spinal cord injury, while also alleviating pain to some extent.
HRV Studio, an open-source PyQt6-based desktop application integrating transparent HRV analysis with automated quality-control (QC) diagnostics, provides a transparent and reproducible platform for HRV research, with strong cross-platform consistency when NN sequences, preprocessing, and analytical conventions are harmonized.
Whether independently implemented training stacks can serve as differential oracles for a whole fine-tuning pipeline, rather than the operators and inference paths that prior differential testing targets, is studied.
RatoGuide demonstrated favorable performance in typical cases, but accuracy declined in atypical cases with artifacts or altered anatomy, particularly for atypical cases and organs in high-dose gradient regions.
The PSI-based hybrid workflow resulted in statistically greater positioning accuracy compared to conventional splint-based fixation, however, the absolute improvements were small, likely of limited clinical relevance, and were not associated with reduced operating times.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.
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