As artificial intelligence features rapidly expand across web browsers like ChatGPT Atlas (by OpenAI) and Copilot Mode in Microsoft Edge, experts are raising serious concerns about user privacy and security — and research confirms those fears are not unfounded.
New research from the University of Cambridge, published in New Scientist, suggests that analog computers could train artificial intelligence systems up to 1,000 times faster than traditional digital machines — while consuming far less energy.
A U.S. family that received a $195,000 hospital bill for four hours of intensive care after a heart attack used the AI chatbot Claude — and, according to their account, managed to lower the final amount to $33,000. The AI helped identify duplicate charges, coding errors, and other possible billing violations.
November’s agenda brings together policymakers, clinicians, and innovators in Madrid, Brussels, Strasbourg, and London for cross-sector discussions on resilience, AI, and translational science.