Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Ever since the pandemic, the education technology sector-especially digital learning-has been undergoing a rapid ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

FICO CIO Mike Trkay drives innovation with an unusually broad purview, managing technical operations behind ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

NASHVILLE, TN, UNITED STATES, June 30, 2025 /EINPresswire.com/ -- In a development that could reshape the future of physics, quantum computing, and artificial intelligence, researcher and technologist ...

Researchers at the Leibniz Institute of Photonic Technology (Leibniz IPHT) in Jena, Germany, together with international ...

Machine learning can help tighten constraints on the overarchingFor almost as long as humans have existed, we have been trying to make sense of the cosmos. What started as philosophical musing has, ...

Since Austrian physicist Ludwig Boltzmann founded statistical mechanics in the late 19th century, physicists have struggled ...