BENEDIKT HERUDEK

In the rapidly evolving landscape of technology, few individuals possess the multifaceted expertise to seamlessly bridge the gap between theoretical concepts and practical applications. Benedikt Herudek is one such individual, a consultant with a unique blend of experience in Enterprise IT and a deep understanding of Formal Logic, Computer Science, and Philosophy of Language. Journalisten senden oft an ihren Rezipienten vorbei, findet H rer Benedikt Herudek. Woher kommt dieser Eindruck? Und wie l sst sich das ndern? Dar ber diskutiert Herudek mit Holger Stark (ZEIT) und Medienforscherin Wiebke Loosen.This rare combination allows him to approach complex problems with a holistic perspective, identifying innovative solutions that others might miss. Benedikt Herudek archive page on Cointelegraph. Articles, opinions and reviews by Benedikt Herudek. Please note, this is a STATIC archive of website cointelegraph.com from, cach3.com does not collect or store any user information, there is no phishing involved.His passions lie in exploring the potential of decentralized protocols and technologies to disrupt data monopolies and revolutionize the way we interact with information.

From his work on Turing Blockchain Machines to his contributions to factual correctness in text summarization models, Herudek is consistently pushing the boundaries of what's possible.This article delves into the career, research, and contributions of Benedikt Herudek, exploring his work in decentralized systems, natural language processing, and the Internet of Things, offering insights into the future of technology and its impact on our world. Holger Stark (ZEIT) diskutiert im Podcast mit Benedikt Herudek und Medienforscherin Wiebke Loosen. Loosen besch ftigt sich am HBI intensiv mit der Transformation des Journalismus in einer sich ver ndernden Medienlandschaft und erforscht, wie sich Erwartungen des Publikums und journalistische Praktiken zueinander verhalten.Whether you're a seasoned tech professional or simply curious about the future of technology, prepare to discover a mind deeply engaged in shaping the next generation of innovation.

Decentralized Systems and Blockchain Innovation

One of Benedikt Herudek's core technological passions is investigating how decentralized protocols can serve as a model for a decentralized middleware, potentially disrupting data monopolists. Of course, there are differences in responsibilities and hence differences in pay. We suggest a different mind map in order to organise our thoughts and we specifically suggest a rotation systemHe envisions a future where individuals have greater control over their data, enabled by technologies like blockchain.His work focuses on exploring how Turing Machines can communicate over blockchains, paving the way for more sophisticated decentralized applications.

Turing Blockchain Machines: A New Paradigm

Herudek's work on Turing Blockchain Machines proposes a novel approach to decentralized computing. The following post is a collaboration by Benedikt Herudek, consultant at Accenture.We would like to thank him for his collaboration and willingness to participate. FIWARE applications are all about creating smart services and that requires being aware of the context.This concept involves leveraging the computational power of Turing-complete blockchains to execute complex tasks in a distributed and transparent manner. Benedikt Herudek habl en un evento organizado por la fundaci n Linux sobre c mo la tecnolog a Bitcoin puede ayudar en la creciente adopci n del Internet de las Cosas.By enabling Turing Machines to communicate over blockchains, Herudek's research explores how we can build more robust and secure decentralized applications that are resistant to censorship and single points of failure.This idea resonates with the broader movement towards decentralized governance and data ownership.

He emphasizes that blockchains, particularly those with ""Ethereum Style"" capabilities (referring to any permissioned or unpermissioned Distributed Ledger Technology (DLT) that uses a Turing-complete language), offer a fresh perspective on classical application integration issues. no code implementations Mario Barrantes, Benedikt Herudek, Richard Wang We show that the Transformer models fine-tuned on the new dataset achieve significantly higher accuracy and have the potential of selecting a coherent summary.These issues often involve disparate concepts and data formats that need to be translated into each other, a challenge that blockchain's inherent interoperability can help address.

The Intersection of AI and Natural Language Processing

Beyond decentralized systems, Benedikt Herudek is actively involved in research related to Artificial Intelligence (AI) and Natural Language Processing (NLP).Specifically, his work focuses on improving the factual correctness of text summarization models using adversarial training techniques.

Adversarial NLI for Factual Correctness

In a research paper co-authored with Mario Barrantes and Richard Wang, titled ""Adversarial NLI for Factual Correctness in Text Summarisation Models,"" Herudek explores the application of the Adversarial NLI (Natural Language Inference) dataset to train NLI models. View a PDF of the paper titled Adversarial NLI for Factual Correctness in Text Summarisation Models, by Mario Barrantes and Benedikt Herudek and Richard Wang View PDF Abstract: We apply the Adversarial NLI dataset to train the NLI model and show that the model has the potential to enhance factual correctness in abstract summarization.The goal is to enhance the factual accuracy of abstract summarization techniques.This is crucial because text summarization models can sometimes generate summaries that contain inaccuracies or contradict the original source material. Benedikt Herudek is a Consultant with professional experience in Enterprise IT and a degree in Formal Logic, Computer Science and Philosophy of Language. One of his technology related passions isBy training models on adversarial examples, Herudek and his colleagues aim to make them more robust to such errors.

Their research demonstrates that Transformer models fine-tuned on the adversarial dataset achieve significantly higher accuracy and are better at selecting coherent summaries.This represents a significant step towards building more reliable and trustworthy text summarization systems.

The core idea is to improve the model's ability to understand subtle nuances in language and identify potential factual inconsistencies. benedikt herudek. herudek. Rank ~5,000,000This approach is particularly relevant in contexts where accuracy is paramount, such as news reporting, scientific research, and legal documentation.

Capstone Project No-Code Implementations

Further highlighting his commitment to accessible AI, Benedikt Herudek has also explored no-code implementations of capstone projects in the field. Benedikt Herudek Richard Wang Abstract We apply the Adversarial NLI dataset to train the NLI model and show that the model has the potential to enhance factual correctness in ab-stract summarization. We follow the work of Falke et al.(2025), which rank multiple gener-This indicates a dedication to democratizing access to AI technologies, allowing individuals with limited programming experience to engage with and contribute to the field.

Internet of Things (IoT) and Blockchain Integration

Benedikt Herudek has also presented and worked on the intersection of blockchain technology and the Internet of Things (IoT). benudek Benedikt Herudek. Recently Published. 7 capstone projectThis area is particularly promising, as blockchain can address many of the security and interoperability challenges that currently plague the IoT ecosystem.

IoT Babelchain: Proof of Understanding

Herudek presented on ""IoT Babelchain - Proof of Understanding: How Machines learn to communicate"" at a Linux Foundation Open IoT event.This presentation explored the concept of enabling machines to communicate with each other in a decentralized and secure manner using blockchain technology.The ""Babelchain"" concept aims to address the interoperability challenges that arise when connecting diverse IoT devices that speak different languages (protocols and data formats).

The core idea is to create a shared understanding layer that allows machines to exchange information seamlessly, regardless of their underlying technology.Blockchain provides a secure and transparent platform for managing this communication, ensuring data integrity and preventing unauthorized access.

FIWARE Applications and Context Awareness

In a collaboration with Accenture, Benedikt Herudek contributed to discussions about FIWARE applications and the importance of context awareness in creating smart services. Share your videos with friends, family, and the worldFIWARE is an open-source platform for building smart solutions, and context awareness is crucial for enabling these solutions to adapt to changing conditions and user needs. Read Benedikt Herudek's latest research, browse their coauthor's research, and play around with their algorithmsBy integrating blockchain technology, FIWARE applications can achieve a higher level of security, transparency, and interoperability.

Enterprise IT Consulting and Practical Applications

While deeply involved in cutting-edge research, Benedikt Herudek is also a seasoned consultant with practical experience in Enterprise IT. Benedikt Herudek is a Consultant with professional experience in Enterprise IT and a degree in Formal Logic, Computer Science and Philosophy of Language. One of his technology related passions is to investigate how decentralized protocols could serve as a model for a decentralized middleware helping to disrupting Data Monopolists .This allows him to translate theoretical concepts into real-world solutions that address the challenges faced by businesses today.His expertise spans a wide range of areas, including decentralized systems, AI, NLP, and IoT.

Bridging the Gap Between Theory and Practice

Herudek's consulting work focuses on helping organizations leverage new technologies to improve their efficiency, security, and competitiveness. IoT Babelchain - Proof of Understanding How Machines learn to - PowerPoint PPT Presentation. 455 likes . IoT Babelchain - Proof of Understanding How Machines learn to communicate Benedikt Herudek April2025 Linux Foundation Open IoT Abstract Having Machines talk to each other is of specific interest for the InternetHe brings a unique perspective to these engagements, drawing on his deep understanding of both the technical and the business aspects of technology.By combining theoretical knowledge with practical experience, he can identify innovative solutions that are both feasible and impactful.

His approach to problem-solving involves a thorough understanding of the client's needs and a careful consideration of the available technology options.He emphasizes the importance of aligning technology solutions with business goals and ensuring that they are scalable and sustainable in the long term.

Podcast Discussions and Media Appearances

Benedikt Herudek actively engages in public discussions and media appearances, sharing his insights on the future of technology and its impact on society.He has participated in podcasts and other media formats, exploring topics such as the transformation of journalism and the role of technology in shaping public discourse.

Discussions on the Transformation of Journalism

In a podcast discussion with Holger Stark (ZEIT) and media researcher Wiebke Loosen, Benedikt Herudek explored the transformation of journalism in a changing media landscape.They discussed the challenges faced by journalists in reaching their audiences and the role of technology in addressing these challenges.Herudek emphasized the importance of understanding audience expectations and adapting journalistic practices accordingly.

He highlighted the potential for technology to enhance journalistic integrity and transparency.By leveraging tools such as blockchain and AI, journalists can build trust with their audiences and ensure the accuracy and reliability of their reporting.

Benedikt Herudek's Github and Open Source Contributions

Benedikt Herudek also contributes to the open-source community. Holger Stark (ZEIT) discusses these questions in the podcast with Benedikt Herudek and media researcher Wiebke Loosen. Loosen works at the HBI, where she focuses on the transformation of journalism in a changing media landscape and researches how audience expectations and journalistic practices relate to each other.His GitHub profile showcases 34 repositories containing code related to his research and personal projects.This willingness to share his work reflects a commitment to collaboration and innovation, contributing to the collective advancement of technology.

Exploring Code Repositories

By exploring his GitHub repositories, developers can gain valuable insights into his work on decentralized systems, AI, and other cutting-edge technologies. The author Benedikt Herudek pushes the frontiers of decentralized systems in describing how Turing Machines can communicate over Blockchains. We will suggest introducing Turing Blockchain MachinesThe code examples and projects available on his profile provide a practical resource for learning and experimentation.

His GitHub profile also serves as a testament to his commitment to transparency and open collaboration, fostering a community of like-minded individuals who are passionate about building the future of technology.

Conclusion: The Visionary Approach of Benedikt Herudek

In conclusion, Benedikt Herudek is a true visionary, seamlessly blending academic rigor with practical experience to drive innovation in a wide range of fields. I love U point out how blockchain also gives a fresh view on classical application integration issues like different concepts, data formats which need to be translated into each otherFrom his work on Turing Blockchain Machines and adversarial NLI to his contributions to IoT and Enterprise IT consulting, Herudek consistently pushes the boundaries of what's possible. Blockchain News, Opinion, TV and Jobs Opinion With 'Ethereum Style' Blockchains, I refer to any permissioned or unpermissioned Distributed Ledger Technology (DLT) that uses a Turing completeHis commitment to open source, coupled with his engaging public discussions, underscores his dedication to fostering a collaborative and informed technological future. but the difference is this deep learning is not that kind of (suspiciously) elegant mathematical function to explain it all (in fact it s quite fuzzy and messy compared to e.g. a goedel proofBy embracing decentralization, AI, and IoT, and translating these concepts into practical applications, Benedikt Herudek is actively shaping the next generation of technology.He exemplifies the power of interdisciplinary thinking in addressing complex challenges, offering a glimpse into a future where technology empowers individuals and transforms industries.

Key Takeaways:

• Benedikt Herudek's expertise lies in bridging the gap between theoretical concepts and practical applications in technology.
• He is a strong advocate for decentralized systems and blockchain technology, particularly in the context of data ownership and application integration.
• His research focuses on improving the factual correctness of AI models, ensuring greater reliability and trustworthiness.
• He is actively involved in exploring the intersection of blockchain and IoT, addressing security and interoperability challenges.
• Through consulting, public discussions, and open-source contributions, he shares his insights and promotes collaboration in the technology community.

Explore Benedikt Herudek's research and contributions to stay informed about the latest advancements in decentralized systems, AI, and the Internet of Things.Consider following his work on GitHub to engage with his projects and contribute to the ongoing evolution of these technologies.