
サイバー法と情報セキュリティの基礎を学び、現代のデジタル社会における法的枠組みと技術的対策の関係性について深く理解を深める講義。

Explore AI ethics, transparency, and societal impact with expert panelists. Discuss emerging dilemmas, legislation, and user experiences in AI development and implementation.

Explore cutting-edge research in speech recognition, generation, and privacy. Learn about self-training algorithms, error correction models, joint text-to-speech modeling, and privacy-preserving techniques in speech processing.

Explore decentralized identity concepts, projects, and applications. Learn about Hyperledger's role in advancing trust technologies and gain insights into the future of digital identity management.

Explore fundamental concepts of decentralization and privacy in blockchain technology, understanding their crucial role in shaping secure and autonomous digital systems.

Explore off-chain, privacy-preserving smart contracts with Private Data Objects. Learn deployment, use cases, and roadmap for this Hyperledger Labs project enabling secure computations over shared data.

Explore ML team expectations from business stakeholders, AI in software development, and successful entrepreneurship strategies with insights from tech industry expert Peter Guagenti.

Explore strategies for successful AI implementation, avoiding common pitfalls, and balancing innovation with ROI in this insightful discussion on MLOps and its role in organizations.

Explore the impact of AI on human understanding and society through Professor Neil Lawrence's insightful keynote at the ELLIS Community Event in Helsinki.

Discover how to leverage AI and decentralized web nodes to build a privacy-focused pregnancy tracking application, with practical demonstrations and implementation insights.

Master enterprise-grade blockchain development for decentralized identity using Hyperledger Identus, focusing on frameworks, tools, and libraries for secure and scalable identity solutions.

Discover how DIZK revolutionizes zero knowledge proof systems through distributed computing, enabling 100x larger computations and faster processing for enhanced blockchain security and privacy applications.

Explore advanced defense strategies against data reconstruction attacks in federated learning through information theory, focusing on privacy preservation and efficient training methods.

Explore secure participant selection in Federated Learning through Lotto, a system designed to protect against adversarial servers while maintaining efficient performance and privacy guarantees.

Craig Federighi discusses Apple's approach to user privacy and product security, highlighting key strategies and innovations in data protection.

Discover essential strategies for building secure AI applications with built-in safety measures, data protection protocols, and compliance frameworks while exploring emerging trends in AI security.

Master DNS over HTTPS implementation on MikroTik routers with hands-on configuration steps, practical lab exercises, and complete scripts for enhanced browsing privacy and security.

Explore essential principles of AI ethics, from transparency and fairness to privacy, while learning practical governance frameworks for responsible AI development and implementation.

Discover how JSON Web Tokens and Verifiable Credentials revolutionize age verification in delivery apps, enabling secure, privacy-focused digital proof of qualifications for online transactions.

Explore the critical intersection of Zero Trust principles and AI security, learning strategies to protect autonomous systems and safeguard data integrity in AI environments.

Explore how OpenHarmony and Oniro operating systems enable seamless device connectivity, intelligent data analysis, and secure communication in the evolving AIoT landscape.