The Guardian article reports that Google DeepMind has developed an artificial intelligence model capable of predicting weather more accurately than one of the world’s leading traditional forecasting systems. The AI system, trained on large amounts of historical weather data, can generate faster an ... d more precise medium-range forecasts, potentially improving predictions of extreme weather events such as storms, heavy rainfall, and heatwaves. Scientists suggest that this advancement could enhance early warning systems and disaster preparedness worldwide, though experts also emphasize the importance of continued evaluation and collaboration with existing meteorological institutions. more

The webpage presents WeatherNext 2, an advanced AI-based weather forecasting model developed by Google DeepMind. It explains how the system uses machine learning to analyze large amounts of atmospheric data and produce fast and accurate weather predictions. The model is designed to improve forecasti ... ng for various weather variables such as temperature, wind, and precipitation, and to support better predictions of extreme weather events. The page also highlights how AI-driven forecasting can complement traditional numerical weather models and help scientists, governments, and organizations make better decisions related to weather and climate. more

The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’ ... s dedication to utilising digital technologies and AI to enhance healthcare delivery, facilitate data-driven decision-making, and bolster the resilience of the healthcare system. Although AI integration in Tanzania’s health sector is still in its infancy, a growing number of initiatives are highlighting its potential in clinical care, research, and system management. The Ministry of Health, in collaboration with partners including the President’s Office (PORALG), Fondation Botnar, MUHAS, UDOM and PATH, has spearheaded this initiative with the aim of using AI to minimise errors, improve clinical outcomes and boost the efficiency of the health system. more