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This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

HackerNoon, the technology publishing platform, is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the São Paulo startup ecosystem.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

Abstract and 1 Introduction 2 Related Work 3 Method 3.1 Synthetic Data Generation 3.2 Training 4 Experiments 4.1 Statistics of the Synthetic Data 4.2 Model Fine-tuning and Evaluation 4.3 Main Results 4.4 Multilingual Retrieval 5 Analysis 5.1 Is Contrastive Pre-training Necessary? 5.2 Extending to Long Text Embedding...

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

HackerNoon, the technology publishing platform, is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Consumer Goods startup ecosystem.

HackerNoon, the technology publishing platform, is pleased to announce the nominees for Startups of The Year, featuring the most innovative companies in the Beverly Hills startup ecosystem.

SINGAPORE, Singapore, October 8th, 2024/Chainwire/--StraitsX, the pioneering payments infrastructure for the digital assets space in Southeast Asia, has today announced the listing of XSGD, its Singapore dollar-pegged stablecoin, on Bitstamp, the world's longest-running cryptocurrency exchange. This strategic partne...

This appendix presents supplementary material related to our research on photocatalytic water-splitting materials, detailing hybrid compound enumeration, interpolation distance analysis, pricing calculations for final structures, and additional data on candidate compounds. These insights enhance the understanding of our innovative materials design process and its implications for artificial photosynthesis technology.

We have introduced a versatile materials design process applicable to various fields, demonstrated through the discovery of promising photocatalytic materials for water-splitting, including PbCuSeCl and Ti2O4Pb3Se3. Our method emphasizes the ability to explore structure space comprehensively and calculate properties from first principles. Ongoing work aims to enhance the substitution matrix and develop a generalized approach for redox potential calculations with larger datasets, paving the...

The methods section outlines the framework for identifying photocatalytic materials through a systematic approach. Initially, a dataset of semiconductor band gaps was established, leading to calculations of redox potentials for 34 compounds. Candidate generation involved careful substitutions and a maximum unit cell size, while property space selection ensured candidates fell within desirable ranges for band gaps and redox potentials. The interpolation of properties between...

The discussion divides final photocatalytic materials into two groups: Silver-containing compounds, which show good oxidation potentials but lower symmetry and higher costs, and Lead-based compounds, which are more robust in electron reduction and cheaper. Despite their trade-offs, both groups exhibit unique advantages in photocatalytic water-splitting, suggesting a need for further experimental exploration. The material design approach used is believed to be generalizable to other...

The SALSA method successfully generated millions of candidate compounds for photocatalytic water-splitting, narrowing down to about 1,250 promising hybrids. Using the USPEX algorithm, the study identified stable crystal structures, followed by high-fidelity DFT calculations to optimize their band gaps. The resulting structures, primarily featuring silver, represent new materials that have not previously been cataloged, marking a significant advancement in water-splitting technology.

The SALSA process efficiently discovers new materials by using substitution, approximation, evolutionary search, and ab-initio calculations. It starts with known compounds, generates hybrid candidates, and employs high-fidelity DFT calculations to identify promising materials, including those for artificial photosynthesis.

This article presents a groundbreaking workflow for designing semiconductor structures tailored for photocatalytic water splitting. Utilizing an ionic translation model, the study predicts over thirty thousand potential semiconductor compositions and identifies candidates with optimal properties for efficient hydrogen and oxygen production. The findings aim to address challenges in artificial photosynthesis by using earth-abundant materials, thereby paving the way for a more sustainable energy future.

The Digital Identity Paradox arises as AI-driven personalization enhances user experience at the cost of privacy. This article explores how companies and consumers can navigate the trade-offs between convenience and security, highlighting ethical frameworks, AI innovations, and privacy-preserving technologies like differential privacy and federated learning.

Kotlin's delegates and delegated properties provide powerful tools to simplify code and enhance flexibility. From lazy initialization to observable properties, this guide explores built-in and custom delegates, showing how they streamline common tasks and improve resource management.

Product Upload is a tool that allows you to copy products from any website. It is available on Wix and Shopify and is growing by 10 users a week. The tool was inspired by watching his Mum and wife working on their online stores. It has features like image selection, automatic SEO optimisation, and more.