Modern electricity grids run latency-sensitive functions, protection relays, fault isolation, and microgrid control, that demand millisecond analytics at the edge, while energy-hungry analytics workloads sit in distant clouds, causing missed realtime deadlines and wasted power. We formulate the placement of these grid...
David Ryan, Darren Leniston, Arun Narayanan et al.· Zenodo (CERN European Organi...· 0 citations
The performance of an LLM application is highly dependent on how the user commands the application through prompts. Previous researchers invented role-play prompting techniques to overcome these problems. Including roles relevant to the task can improve the accuracy of the responses generated by LLMs. Nevertheless, the...
Asyafa Ditra Al Hauna, Siti Khomsah, Andi Prademon Yunus et al.· Journal of Advanced Computat...· 0 citations
Urban tree canopy coverage (TCC) targets are increasingly used for heat mitigation. However, translating fixed percentage targets into context-specific cooling benefits, population coverage across cooling thresholds, and spatial priorities is essential for making them actionable in planning practice. This study develop...
Jiaxing Ye, Zhidian Jiang, Ruibin Li et al.· Computers Environment and Ur...· 0 citations
This repository contains the dataset and source code developed for machine learning-aided voltage stability-constrained optimal power flow (ML-VSCOPF) studies on a modified IEEE 118-bus power system. The dataset contains operating conditions, network topology information, renewable-generation dispatch, load conditions,...
Abdelwahab Bebars, Muhammad R. Hammad, Mahdi Mehrtash et al.· Zenodo (CERN European Organi...· 0 citations
Abstract Background The function of the cerebral cortex is shaped by its anatomical connectivity, yet experimental findings on connection probabilities in local cortical networks remain inconsistent. This study explores structural characteristics of local cortical networks based on distance dependent, Gaussian connecti...
The rapid advancement of large language models (LLMs) has opened new opportunities for materials informatics. However, LLMs fall short in photovoltaic (PV) material design due to their lack of domain grounding, unreliable outputs, and inability to perform integrated computational tasks. To address these issues, this...
Hang-Yuan Deng, Yu-Yan Wu, You-Le Wang et al.· Materials Genome Engineering...· 0 citations
This paper proposes an AI-empowered personalized employment guidance system integrating multi-modal deep learning, graph neural network-based collaborative filtering, and knowledge graph enhancement within an adaptive multi-algorithm fusion framework, addressing the limitations of insufficient personalization and low...
Long-Yao Dai, Fei-Fei Fu· Journal of Advanced Computat...· 0 citations
Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are central to flexible material handling, yet conventional shortest-path and reactive planners cannot anticipate congestion and typically treat battery status, workstation availability, human-zone risk and disruption recovery as separate decisions.Th...
Vijaya Bhaskar Sadu, Lokireddi Venkata Venu Gopala Rao, Alluru Gopala Krishna· International journal of int...· 0 citations
This release updates the AEC artifact to the latest remote main snapshot. Highlights: Complete AEC notebook reproduction paths and updated run configuration. Parallel fixed AEC batches across GPUs with a 10 ms scheduler cadence. Vendor artificial_node_feature_generator into the repository and remove the old submodule r...
Hzw-ZuttoZutto· Zenodo (CERN European Organi...· 0 citations
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
MIT News · Artificial Intelligence· news.mit.eduJul 15, 2026
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog· microsoft.comJul 13, 2026
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduJul 6, 2026
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
