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Female Tech Titans Rising: Meet the Visionaries Leading the Charge in Google’s 2024 Accelerator (Business Today)
: Key Takeaways: Breaking New Ground in Tech Pioneering Leadership Anna Franziska Michel of yoona.ai and Dr. Vivien Dollinger of ObjectBox represent the epitome of female leadership in the tech industry, guiding their companies to international recognition and success. Their inclusion in Google’s accelerator program marks a significant milestone in their journey of innovation and market expansion. The Google Accelerator Impact Google’s accelerator program, now embracing its 5th edition, has extended its reach into the European and Israeli tech landscapes, highlighting the growing influence and importance of diverse tech entrepreneurship on the global stage. Innovation at the Forefront yoona.ai: Revolutionizing Design The post Female Tech Titans Rising: Meet the Visionaries Leading the Charge in Google’s 2024 Accelerator appeared first on Business Today
Public consultation on the draft BEREC Report on Virtual Worlds and Web 4.0 (BEREC Office)
: Public consultation on the draft BEREC Report on Virtual Worlds and Web 4.0 yannick.stephan Tue, 17/03/2026 - 09:26 Breadcrumbs Public Consultations & Calls for Inputs Deadline: Monday, 20 April 2026 (17:00 CEST) During the 66th BEREC plenary meeting (12-13 March 2026), the Board of Regulators approved the Draft BEREC Report on Virtual Worlds and Web 4.0 (BoR (26) 39) for public consultation. The report in a nutshell Virtual worlds (VW) and web 4.0 are at the basis of a transition to the 4th generation of internet based services, leading toward industry 4.0 and smart society. This shift is driven by artificial intelligence (AI) integration in networks and services. Hence, web 4.0 and immersive services are meant to have a significant economic and social impact by transforming the way in which industrial production evolves and automates its processes. At the same time, they transform the fruition of online content and applications by users. This draft BEREC Report provides a fully-fledged analysis. The first [...]
New FTC warning letters cite unsupported Coronavirus-related health and earnings claims (FTC USA Business Blog Posts)
: New FTC warning letters cite unsupported Coronavirus-related health and earnings claims sgressin April 24, 2020 | 12:44PM New FTC warning letters cite unsupported Coronavirus-related health and earnings claims By Seena Gressin The FTC is not the pen pal you want if you operate a multi-level marketing company but aren’t closely monitoring your distributors. In its latest round of warning letters, the FTC warns ten MLM companies that they are responsible for the claims made by their participants. The letters direct the companies to report within 48 hours what actions they’ve taken to stop their distributors from claiming their products can treat or prevent Coronavirus disease, that MLM business opportunity participants are likely to earn substantial income, or both. The FTC says that the health and earnings claims are unsubstantiated and therefore violate truth-in-advertising laws. The products at issue are not scientifically proven to treat or prevent COVID-19, the disease that Coronavirus causes. The FTC pre[...]
The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law (Scoop.it - Documentation juridique (Stéphan Cottin))
: This article belongs to the debate » Thinking Machines, Thinking Lawyers14 October 2026The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law From Years of Research to a Single Prompt? Artificial intelligence (AI) has the potential to accelerate and improve the quality of research. This potential has inspired numerous projects exploring how AI could help scholarship on constitutional law. For example, there is research using AI to interpret constitutions,1) apply constitutional principles,2) and predict court rulings.3) Even the question of whether AI could improve the process of constitution-making has been studied.4) AI’s potential is particularly significant for comparative constitutional research. Systematically comparing legal systems requires locating sources from different jurisdictions, which are often difficult to access and only available in local languages. The creation of comparative legal datasets has thus involved considerable personnel, time, and financial resources. AI ca[...]