This week, we begin with an article that explores the importance of interoperability, access to real-time data & open data sharing in simplifying & accelerating the energy transition in European energy market. Next, we have a story on role of regulatory policies to bring improvements in Chinese government’s concern over collection of personal information by growing tech giants. Then, we have an article discussing the Open Finance model that will allow big techs to access bank details of the customers, but they need to request for transactional data. Following that, we have analysis on sharing data & information stored at Protein Data Bank (PDB) to discover & develop vaccines and drugs that will protect the world’s population by unlocking mysteries of human disease. Next is a piece on “State of AI” report that points to the developments in AI sector over the past year and growing concern due to lack of talent & diversity in the field. Finally, we have an essay that introduces “Wavelets” – mathematical tools that have revolutionized the study of complex wave phenomena in image processing, communications, & scientific data streams and made improvements in de-noising, image restoration, & image analysis.
Interoperability And Open Data Sharing Vital To EU’s Energy Transition
Interoperability of data platforms and energy systems and secure open data sharing are vital but need improvement within the European energy market to deliver the energy transition. These are the two key takeaways from a webinar entitled Towards a European data space for energy hosted by the European Commission and Enlit Europe. The webinar focused on issues with access, exchange, security, and governance of energy-related data.
What Is Wrong With Protecting China’s Personal Data?
The Cyberspace Administration of China said recently that Didi Global had been collecting personal information in “serious violation” of the country’s laws and regulations. The regulator then ordered app stores to remove 25 apps operated by the company in China. Didi’s stock had only debuted on the New York Stock Exchange just days earlier, when it had raised $4.4 billion. The success of that IPO was partly based on the fact that Didi dominates China’s ride-hailing industry, having captured 90% share of the market.
Big Tech Like Amazon, Google And Facebook Will Be Able To Request And See Your Financial Data
Big Tech companies, such as Amazon , Google , Facebook , Apple and Microsoft, among others, will now be able to access your bank details thanks to the Open Finance model. Open Finance is a model for the exchange of financial information between banks and any financial institution. Under this scheme, in a financial service you can add accounts from various institutions, combining the different formats they offer in one.
Protein Data Bank Marks 50 Years Helping To Unlock Mysteries Of Human Disease
Stephen K. Burley believes that if the COVID-19 global pandemic has taught society anything it is that sharing scientific information is key to saving precious time, avoiding duplication of effort, and accelerating the research needed to discover and develop new life-saving drugs and vaccines. That didn’t happen 20 years ago when Burley, a clinician-scientist who at that time was head of research at SGX Pharmaceuticals, Inc., a cancer-focused biotechnology company located in California.
Artificial Intelligence Sees More Funding, But Needs More People And Better Data
The state of artificial intelligence is promising, and it is increasingly ready for real-life enterprises. But there are shortages of talent, lack of diversity in the field, and concerns about the handling the data that fuels ever-more-sophisticated algorithms. These are some of the observations of Nathan Benaich and Ian Hogarth, prominent investors in artificial intelligence, who released their fourth annual and densely packed “State of AI” report reviewing developments in the field over the past year.
How Wavelets Let Researchers Transform And Understand Data
In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information. Many researchers receive their data in the form of continuous signals, meaning an unbroken stream of information evolving over time, such as a geophysicist listening to sound waves bouncing off of rock layers underground, or a data scientist studying the electrical data streams obtained by scanning images.