Large Earth Models driving geo AI advancements

Large Earth Models (LEMs) are advancing Geo AI by providing powerful tools for analyzing Earth observation data and addressing complex environmental challenges. These models are pre-trained on extensive datasets, including satellite imagery, climate records, and environmental observations, allowing them to identify patterns and generate insights across a wide range of applications. By leveraging deep learning …

Understanding variations in Earth’s rotation over time

Earth’s day-night cycle, traditionally defined as a precise 24-hour period, is not as rigid as it seems. Due to the planet’s dynamic and complex nature—comprising a molten iron core, a fluid outer layer, and external influences like the Moon’s gravitational pull—variations in Earth’s rotation are a reality. These fluctuations, although tiny, are measurable over timescales …

Revolutionizing efficiency with AI agents

The rapid advancement in artificial intelligence has ushered in a new era of AI agents, sophisticated tools that extend beyond simple interactive chatbots to executing comprehensive tasks autonomously. Companies such as OpenAI, Microsoft, Google, and Salesforce are leading this technological revolution, developing AI agents aimed at transforming efficiency across a myriad of sectors including healthcare, …

AI in scientific research: promise and pitfalls

Artificial intelligence (AI) is reshaping the landscape of modern science, exemplified by the 2024 Nobel Prizes in Chemistry and Physics, where all winners utilized AI in their work. This recognition underscores how pivotal AI in scientific research has become, heralded by experts as a transformative force. One laureate even described it as “one of the …

AI scientist: transforming the future of research

Researchers at Sakana.AI have introduced an advanced artificial intelligence (AI) model, dubbed the “AI Scientist”, that has the potential to revolutionize the scientific research process. This AI system can autonomously tackle various stages of research, including identifying problems, developing hypotheses, conducting experiments, analyzing results, and writing reports. In addition to the core AI, a secondary …