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HBO's Silicon Valley introduced Pied Piper, a fictional startup with groundbreaking compression technology. In 2024, real-world companies like SQream Blue are delivering similar data solutions, outperforming major competitors like Databricks in speed and cost. As data volumes skyrocket, the demand for efficient compression is more urgent than ever, bringing life closer to imitating art.

Dreamforce 2024 showcased Salesforce's cutting-edge innovations, including the launch of Agentforce, a platform for deploying autonomous AI agents. The conference also highlighted AI integration into Slack, the importance of the Data Cloud, and featured celebrities like Matthew McConaughey and Simone Biles. Autonomous robots roamed the venue, providing a glimpse into the future of human-AI collaboration, while Salesforce announced a $500 million expansion to its...

TikTok has partnered with the World Health Organization (WHO) to combat misinformation and promote public health messaging through a network of influencers. This collaboration, which leverages trained creators to disseminate WHO-approved content, raises concerns about TikTok's role as a potential propaganda tool for global health narratives, reminiscent of previous UN initiatives to control messaging on social media platforms.

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.