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Our World in Data
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- 1Irish regulator fines Google €403 million over GDPR breaches●Irish data protection watchdog fines Google €403M over GDPR breaches
Ireland's Data Protection Commission has fined Google €403 million for breaches of the EU's General Data Protection Regulation. The Irish watchdog, which is Google's lead regulator in Europe, imposed the penalty following an investigation into the company's data handling practices. The ruling adds to a series of major GDPR fines against large technology firms in recent years.
- 2Coal still supplies a third of world electricity in 2024▼Where does the world's electricity come from? In 2024, coal still produced about a third of it (34%), while wind and sol
New figures on the global electricity mix show coal produced roughly 34% of the world's power in 2024, while wind and solar together accounted for 15%, up sharply from 4% a decade earlier. The data, presented as charts mapped directly onto regions, is drawing attention to how slowly coal's share is declining despite rapid renewables growth.
- 3US immigration levels examined in historical perspective●How high is current immigration to the United States in historical perspective?
An analysis by Our World in Data examines how current immigration to the United States compares with earlier periods of the country's history. It places recent inflows alongside historical migration waves, offering context for today's debate over border policy and immigration levels. Readers are weighing whether present-day immigration is genuinely unprecedented or consistent with past American experience.
- 4Tokyo rail operators hit by online security breaches●Tokyo rail firms report online security breaches | NHK WORLD-JAPAN News
Railway companies in Tokyo have reported online security breaches, according to NHK World-Japan. The incidents involve unauthorized access or cyberattacks targeting the operators' systems, though details on affected services or data remain limited. The reports come amid heightened attention to cyber threats against critical transport infrastructure in Japan.
- 5Physics-informed machine learning improves wearable sweat biosensor calibration●Physics-informed machine learning for robust calibration and physiological validation of wearable electrochemical sweat biosensors for metabolite monitoring
Researchers publishing in Nature describe a physics-informed machine learning approach for calibrating wearable electrochemical sweat biosensors used to monitor metabolites. The method combines physical models of sensor behaviour with data-driven learning to achieve robust calibration and physiological validation, aiming to make wearable biochemical monitoring more reliable in real-world conditions.
- 6Cabo Verde turns skills training into jobs through data and financing▼How Cabo Verde uses data and financing to turn skills training into jobs
The World Bank highlights how Cabo Verde is using data-driven approaches and financing to make skills training programmes more responsive to the labour market, aiming to move trainees into real employment. The piece outlines how the country aligns vocational training with employer demand and job opportunities, positioning skills development as a driver of economic growth.
- 7Generalist AI Bets Robots Can Learn Like Large AI Models●Inside Generalist AI’s Bet That Robots Can Learn Like AI Models
Generalist AI is pursuing an approach in which robots acquire skills the way modern AI models learn, rather than through hand-coded behaviours. The company argues that scaling data and training methods, as done in language and image models, can be applied to robotics. The idea is drawing attention because it could reshape how robots are built and commercialised, though questions remain over data availability and real-world reliability.
- 8America First Policy Institute Examines Virginia's Data Center Alley▼Where America First Meets the Digital Economy: Lessons from Virginia’s Data Center Alley – AFPI
The America First Policy Institute has published a report on Loudoun County, Virginia's 'Data Center Alley', the world's largest concentration of data centers, framing it as a case study in how the America First agenda intersects with the digital economy. The piece draws lessons on infrastructure, energy demand and economic development from the region's boom, and how policymakers might balance growth in digital infrastructure with national interests.
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OpenAI's AI agents were found retrieving United Nations data through an unnecessarily circuitous path, raising questions about how autonomous systems navigate online information sources. The Register reports that the agents did not take the most direct route to the data, prompting discussion about the reliability and efficiency of agentic browsing when tasked with pulling information from major institutional datasets.