Miracle, or marginal gain?
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Updates every hour. Last Updated: 16-Jun-2025 23:09 ET (17-Jun-2025 03:09 GMT/UTC)
Policies supporting specific industrial sectors are said to have sparked huge growth in East Asia, but new research suggests their impact on overall GDP growth is relatively limited.
Asians, non-Hispanic Blacks and Hispanics were significantly less likely than whites to use obesity-management medications to lower their weight compared with whites. The differences could not be fully explained by income or education level, health insurance coverage or clinical need.
Supporting the United Nation’s initiatives like “Pact for the Future" and the "International Decade of Sciences for Sustainable Development (2024–2033)," over 260 young scientists from several countries came together and signed the Wenzhou Declaration at the Global π Roundtable 2024, co-hosted by the Global Young Academy (GYA) and other organizations. The declaration commits to creating co-innovation platforms and the Global π Community to advance partnerships and innovations for sustainable development.
A new study by the Konrad Adenauer Program for Jewish-Arab Cooperation at TAU's Moshe Dayan Center, reveals encouraging data regarding coexistence in Israel. According to the survey, 57.8% believe that the ongoing war has fostered a sense of shared destiny between Arabs and Jews in Israel.
A groundbreaking study from South Korea has revealed the evolutionary journey of brown algae through genomic analysis. The research highlights key milestones, including the transition to multicellularity and species diversification, and uncovers viral integrations in brown algae genomes that influenced their evolution. It also explores practical applications in aquaculture, biotechnology, and climate change mitigation, emphasizing brown algae's potential for carbon capture and ecosystem restoration, while offering valuable insights into enhancing ecological resilience amid climatic challenges.
While large language models like ChatGPT can do well when choosing multiple-choice answers on financial licensing exams, they falter when dealing with more nuanced tasks. A Washington State University-led study analyzed more than 10,000 responses to financial exam questions by the artificial intelligence language models BARD, Llama and ChatGPT. The researchers asked the models to not only choose answers but also explain the reasoning behind them, then compared those text answers to those by human professionals. While two versions of ChatGPT performed the best at these tasks, they still showed a high level of inaccuracy with more advanced topics.