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Showing 1–25 of 53 papers

TitleStatusHype
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in MedicineCode5
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
AITEE -- Agentic Tutor for Electrical EngineeringCode0
S2SNet: A Pretrained Neural Network for Superconductivity DiscoveryCode0
Electrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machineCode0
En masse scanning and automated surfacing of small objects using Micro-CTCode0
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations—0
ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems—0
A survey on dragonfly algorithm and its applications in engineering—0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference—0
Generalizing Linear Graphs and Bond Graph Models with Hetero-functional Graphs for System-of-Systems Engineering Applications—0
Continuous Space Representations of Linguistic Typology and their Application to Phylogenetic Inference—0
Design and implementation of image processing system for Lumen social robot-humanoid as an exhibition guide for Electrical Engineering Days 2015—0
Digital Health Discussion Through Articles Published Until the Year 2021: A Digital Topic Modeling Approach—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images—0
Engineering Education in the Age of Autonomous Machines—0
Bayesian Transfer Learning—0
Explainable Dual-Attention Tabular Transformer for Soil Electrical Resistivity Prediction: A Decision Support Framework for High-Voltage Substation Construction—0
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models—0
Electricity Price Forecasting: The Dawn of Machine Learning—0
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss—0
Bayesian Nonparametrics: An Alternative to Deep Learning—0
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance—0
Application of Particle Swarm Optimization to Microwave Tapered Microstrip Lines—0
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