Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
Tech Xplore

How AI chatbots become better learning coaches

Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what ...
TechRepublic

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...
pharmaphorum

Agile learning focused on driving change: Lessons for Centre of Excellence leaders

The Stem research and interviews with senior Centre of Excellence (CoE) leaders at Boehringer Ingelheim, Takeda, Merck, Novo ...
iaea.org

IAEA Launches New E-Learning Course on Approaches and Methods for Prospective Radiological Environmental Impact Assessments

The IAEA has launched an innovative, interactive e‑learning course on approaches and methods to help countries perform prospective radiological environmental impact assessment (REIA). Nuclear ...