In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

Precocial animals, the ones that move autonomously within hours after hatching or birth, have many biases they are born with ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AllenComm recognized among the Best eLearning Localization Companies for 2026, offering expert custom elearning ...

1 School of Life Sciences, Jining Medical University, Jining, China 2 Key Laboratory of Standardization of Chinese Medicine (Chengdu University of Traditional Chinese Medicine), Ministry of Education, ...

1 Department of Computer Science and Engineering, University of Nevada, Reno, NV, United States 2 Department of Information Technology, Kennesaw State University, Kennesaw, GA, United States Adaptive ...

Abstract: This study introduces an Adaptive Federated Learning (AFL) framework designed to address the challenges of data heterogeneity, resource imbalance, and communication constraints in ...

Abstract: The paper develops a Personalized Adaptive Learning Pathway System (PALPS) which adaptively designs streamlined educational programs for compiler design courses. The system deals with three ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...