Latest AI (Artificial Intelligence) News
Global AI Summit Issues Declaration for Secure, Trustworthy AI
Dozens of nations, including the US and China, signed a declaration at the New Delhi summit calling for 'secure, trustworthy and robust' AI, though without binding regulations. The event, attended by top tech CEOs, discussed benefits like drug discovery and risks such as job losses.
US signed despite prior reservations, alongside bilateral deals with India.
88 Countries Endorse India-Led AI Declaration Lacking Safety Commitments
88 countries and regions, including the US, UK, and EU, endorsed an AI declaration recognizing security importance but relying on voluntary measures. It emphasizes democratizing AI access and affordability.
No binding safety measures were included.
UN Chief Guterres Advocates Science-Led AI Governance for SDGs
UN Secretary-General AntĂłnio Guterres called for science-guided AI governance to advance Sustainable Development Goals at the New Delhi summit. A new 40-expert Independent International Scientific Panel on AI will assess impacts and close knowledge gaps.
He warned against policy fragmentation amid tech rivalry.
University of Hawaiʻi Unveils Physics-Informed Machine Learning Algorithm
Researchers developed an algorithm ensuring AI adheres to physics laws for accurate predictions in fluid dynamics and climate modeling, even with sparse data. Published in AIP Advances, it advances engineering and renewable energy applications.
Unlike black-box AI, outputs remain physically plausible.
Chinese ASTERIS AI Model Enables Deepest Space Observations
Tsinghua University's ASTERIS model detects faint galaxies over 13 billion light-years away, published in Science. It enhances James Webb Telescope detection by 2.5 times, identifying 160+ high-redshift galaxies from Cosmic Dawn.
Applicable to future telescopes for dark energy and exoplanet studies.
MIT's Generative AI Accelerates Protein-Based Drug Design
MIT researchers created a model predicting protein folding and interactions for cancer and autoimmune treatments, cutting R&D costs. It shifts drug discovery to a programmable, digital approach reducing lab trials.
Experts hail it as a breakthrough in pharmaceuticals.