This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Knowledge Graph Completion (KGC) has garnered massive research interest recently, and most existing methods are designed following a transductive setting where all entities are observed ...

Cincinnati Bengals head coach Zac Taylor confirms quarterback Joe Burrow will play the final three games of the 2025 regular season. Taylor offered a "yes" when asked if Burrow is going to finish out ...

Mixing various types of text-based and image-based supervision results in improved S2H generalization on images, given the model achieves good S2H generalization on text inputs; When the model fails ...

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was released in January — did not hinge on being trained on the output of its ...

First peer-reviewed study shows how a Chinese start-up firm made the market-shaking LLM for US$300,000. R1 is designed to excel at ‘reasoning’ tasks such as mathematics and coding, and is a cheaper ...

The SRF1209U4 series of common-mode chip inductors developed by Bourns Inc. is designed for noise suppression in signal transmission-line applications. They feature a low-profile, compact footprint ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Abstract: Inductive relation prediction aims to predict missing connections between entities unseen during training. Recent approaches adopt binary (positive or negative) training labels, which ...

ABSTRACT: The paper explores how integrating alternative fuels and renewable energy technologies—like solar, wind, and geothermal—into the UK’s sustainable design can promote sustainable design in the ...