Lawmakers seek to probe AI's environmental impacts
Democratic lawmakers have introduced a new bill that aims to assess and mitigate the environmental impacts of AI technologies.
The bill would require the EPA to conduct an assessment on the environmental impacts caused by AI, while NIST would convene a consortium and create a reporting system.
Lawmakers are concerned that the demand for data processing centers to train AI algorithms will contribute to pollution and greenhouse gas emissions. [ more ]
IBM brings Power 10 servers to bear on AI edge deployments
IBM unveiled Power 10 servers for AI processing at the network edge, emphasizing high-threaded workloads and reduced latency by processing data on-site. [ more ]
Securing the edge: A new battleground in mobile network security | Computer Weekly
The global edge computing market is growing rapidly, promising to revolutionize mobile networks across industries by enabling faster response times and more efficient data processing. [ more ]
Akka Edge: Shaping the Future of Industry with Edge Computing | @lightbend
Akka Edge is an enhancement to the Akka ecosystem specifically designed for edge computing.
Akka Edge enables developers to leverage Akka's capabilities in diverse environments without adding complexities typically associated with brokered systems. [ more ]
ChatGPT's 'hallucination' issue hit with privacy complaint
OpenAI ChatGPT AI chatbot disseminated inaccurate information, leading to an EU privacy complaint by NOYB against OpenAI's data processing practices. [ more ]
Quantum computers have the potential to solve highly complex problems that digital and supercomputers struggle with due to their advanced computing capabilities. [ more ]
AI technologies are enhancements of existing technologies; privacy issues in AI are extensions of traditional privacy concerns, requiring a holistic approach to regulation. [ more ]
Murky Consent: An Approach to the Fictions of Consent in Privacy Law - FINAL VERSION
Privacy consent in law is often fictitious, and focusing on acknowledging and managing these fictions is more beneficial than trying to turn them into truths. [ more ]
Unlocking Spark's Hidden Power: The Secret Weapon of Caching Revealed in a Tale of Bug Hunting and...
Caching in Apache Spark is essential for improving performance by storing intermediary results in memory and reusing them instead of recalculating them from scratch.
Caching can also prevent inconsistencies caused by non-deterministic functions, such as the UUID function, by ensuring that the same results are used consistently across different operations. [ more ]
Streamlining Java: A Practical Guide to findFirst() and findAny()
Java Streams offer a modern approach to processing sequences of data in Java programming.
Streams facilitate declarative programming and enable developers to express complex data processing queries without getting bogged down in the mechanics of iteration. [ more ]
The European Data Protection Board has published a guide to EU General Data Protection Regulation (GDPR) one-stop-shop cases.
The guide covers enforcement actions under Articles 32, 33, and 34 of the GDPR, providing insights into how DPAs have interpreted and applied GDPR provisions in various scenarios. [ more ]
How To Implement The Pipeline Design Pattern in C#
The pipeline design pattern in C# optimizes data processing by breaking it down into stages executed in parallel, reducing processing time.
It simplifies complex operations, enhances scalability, and makes it easier to handle large datasets by breaking down data processing into source, stages, and sink components. [ more ]
Artie helps companies put data to work faster with real time syncing | TechCrunch
Artie wants to solve the problem of lag in using data by efficiently moving it from databases to data warehouses.
Artie uses Change Data Capture (CDC) and stream processing to perform data syncs in a reliable and efficient way, resulting in low latency and optimized compute costs. [ more ]