The Federal Government, on Friday, announced a new policy framework aimed at reducing the financial burden on parents, ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Salesforce has launched an “AI Fluency Playbook”, based on its own workforce’s experience, aimed at guiding customers on AI ...

New data science-driven alert framework expected to reduce clinician burden by 45% while preserving industry-leading ...

Abstract: Federated learning (FL) enables collaborative model training over distributed computing nodes without sharing their privacy-sensitive raw data. However, in FL, iterative exchanges of model ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...

Independent analysis explains why episodic leadership training fails to sustain behavioral consistency and introduces an execution system evaluation framework. Traditional leadership training fails ...

Video games have come to be regarded as valuable educational resources. Through a combination of interactive environments and ...

Abstract: Accurate trajectory prediction for neighboring agents is crucial for autonomous vehicles navigating complex scenes. Recent deep learning (DL) methods excel in encoding complex interactions ...