Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy.

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

A JCI review traces biological age measurement from functional tests and blood biomarkers to epigenetic, proteomic, imaging, ...

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...

IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

Abstract: Paroxysmal atrial fibrillation (AF) is generally diagnosed by long-term dynamic electrocardiogram (ECG) monitoring. Identifying AF episodes from long-term ECG data can place a heavy burden ...