The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
The future of hiring may utilize AI, but it is also accountable, auditable and, increasingly by law, must include ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
There are nearly 300 data centers in Northern Virginia, scattered across Loudoun, Fairfax and Prince William counties. It's the largest concentration of data centers in the world. The increase in ...
These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...
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