Temporal Dynamics in Linguistic Polarization

:::info Authors: (1) Xiaohan Ding, Department of Computer Science, Virginia Tech, (e-mail: xiaohan@vt.edu); (2) Mike Horning, Department of Communication, Virginia Tech, (e-mail: mhorning@vt.edu); (3) Eugenia H. Rho, Department of Computer Science, Virginia Tech, (e-mail: eugenia@vt.edu ). ::: Table of Links Abstract and Introduction Related Work Study 1: Evolution of Semantic Polarity in Broadcast Media Language … Read more

Analyzing Media Polarization: How Broadcast News Language Shapes Online Discourse

:::info Authors: (1) Xiaohan Ding, Department of Computer Science, Virginia Tech, (e-mail: xiaohan@vt.edu); (2) Mike Horning, Department of Communication, Virginia Tech, (e-mail: mhorning@vt.edu); (3) Eugenia H. Rho, Department of Computer Science, Virginia Tech, (e-mail: eugenia@vt.edu ). ::: Table of Links Abstract and Introduction Related Work Study 1: Evolution of Semantic Polarity in Broadcast Media Language … Read more

Assessing VASP Solvency For Cryptoassets: Appendix A. Supplemental material

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more

Demystifying Regular Expression Matching

Brief In this article, I would like to share an overview of a hard-level task solution published in “Leet code” related to regular expression matching. This task implementation shows the most essential parts of regular expression matching. Task statement Statements of the task are: input is lowercase string of english alphabet string size limited to 40 … Read more

Med-Flamingo: a Multimodal Medical Few-shot Learner – Appendix

:::info Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department … Read more

Implementing the Sliding Window Median Algorithm

Brief In this article, I would like to consider an efficient way of implementing the sliding window median algorithm. This algorithm is widely used in data analysis and efficient implementation is valuable for big data runtime analytics. The article will be based on a hard-level “leet-code” task statement. The main goal is to develop and implement … Read more

Assessing VASP Solvency For Cryptoassets: Conclusions, and References

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more

Med-Flamingo: a Multimodal Medical Few-shot Learner – Discussion, Acknowledgments, and References

:::info Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department … Read more

Assessing VASP Solvency For Cryptoassets: Closing The Data Gap

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more

Med-Flamingo: a Multimodal Medical Few-shot Learner – Results

:::info Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department … Read more

Assessing VASP Solvency For Cryptoassets: Measuring VASPs Cryptoasset Holdings

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more

Med-Flamingo: a Multimodal Medical Few-shot Learner – Evaluation

:::info Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department … Read more

Mental Model for Generative AI Risk and Security Framework

Introduction Generative artificial intelligence (generative AI) has captured the imagination of organizations and is transforming the customer experience in industries of every size across the globe. This leap in AI capability, fueled by multi-billion-parameter large language models (LLMs) and transformer neural networks, has opened the door to new productivity improvements, creative capabilities, and more. As … Read more

Ethical considerations in AI development

Artificial Intelligence (AI) is quickly transforming industries and everyday life. As AI systems become more integrated into various aspects of society, the ethical considerations surrounding their development and deployment have garnered increasing attention and generated considerable concern. Several considerations are crucial to address and to ensure that AI technologies are developed responsibly and used in … Read more

ZettaBlock Integrates With Stellar To Simplify Blockchain Development

ZettaBlock, an industry-leading, institutional-grade Web3 data infrastructure platform, is proud to announce a new collaboration with the Stellar Development Foundation, the organization that supports the development and growth of the Stellar network, known for facilitating open and accessible financial transactions. This integration is set to redefine the landscape of blockchain development, offering a streamlined path … Read more

Assessing VASP Solvency For Cryptoassets: A Closer Examination

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more

Simplifying Transformer Blocks: Implementation Details

:::info Authors: (1) Bobby He, Department of Computer Science, ETH Zurich (Correspondence to: bobby.he@inf.ethz.ch.); (2) Thomas Hofmann, Department of Computer Science, ETH Zurich. ::: Table of Links Abstract and Introduction Related Work Preliminaries Simplifying Transformer Blocks Further Experimental Analysis Discussion, Reproducibility Statement, Acknowledgements and References A Duality Between Downweighted Residual and Restricting Updates In Linear … Read more

What is OpenTelemetry and How It Can Improve Your Backend Quality?

In the past, when we talked about the backend, we usually referred to one large application with a single, big database, and logging was sufficient for monitoring. Now, thanks to technologies like Kubernetes, microservices have become the standard. Applications are more numerous and distributed, and traditional logging is no longer enough for debugging and diagnosing … Read more

Med-Flamingo: a Multimodal Medical Few-shot Learner – Med-Flamingo

:::info Authors: (1) Michael Moor, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (2) Qian Huang, Department of Computer Science, Stanford University, Stanford, USA and these authors contributed equally to this work; (3) Shirley Wu, Department of Computer Science, Stanford University, Stanford, USA; (4) Michihiro Yasunaga, Department … Read more

This FREE AI Training Will Get You a Pay Raise

These days, everybody is talking about AI. According to trends platform Exploding Topics, this year, there are around 70,000 AI companies worldwide compared to 2023’s 67,300. One in four is based in the U.S., and global AI funding grew by a factor of seven between 2015 and 2019. Take up is accelerating as well: there … Read more

Simplifying Transformer Blocks: Additional Experiments

:::info Authors: (1) Bobby He, Department of Computer Science, ETH Zurich (Correspondence to: bobby.he@inf.ethz.ch.); (2) Thomas Hofmann, Department of Computer Science, ETH Zurich. ::: Table of Links Abstract and Introduction Related Work Preliminaries Simplifying Transformer Blocks Further Experimental Analysis Discussion, Reproducibility Statement, Acknowledgements and References A Duality Between Downweighted Residual and Restricting Updates In Linear … Read more

Kafka vs RabbitMQ: Find the Best Fit for Your Project

In distributed systems and microservices, message brokers are essential. They enable asynchronous communication, decouple services, and enhance reliability and scalability. Modern architecture heavily depends on message brokers, making them a key component in many design patterns. Kafka and RabbitMQ are two of the most popular message brokers. They are known for being reliable, efficient, and … Read more

Simplifying Transformer Blocks: Block Layouts

:::info Authors: (1) Bobby He, Department of Computer Science, ETH Zurich (Correspondence to: bobby.he@inf.ethz.ch.); (2) Thomas Hofmann, Department of Computer Science, ETH Zurich. ::: Table of Links Abstract and Introduction Related Work Preliminaries Simplifying Transformer Blocks Further Experimental Analysis Discussion, Reproducibility Statement, Acknowledgements and References A Duality Between Downweighted Residual and Restricting Updates In Linear … Read more

Assessing VASP Solvency For Cryptoassets: Background and related literature

:::info Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). ::: Table of Links Abstract and 1. Introduction Background and related … Read more