Zapier reports that structured AI training boosts employee productivity and adoption, helping teams use AI effectively and ...

Abstract: Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic management, resource optimization, and emergency response. Despite remarkable breakthroughs in ...

The guidance allows for different levels of transparency depending on whether artificial intelligence is used in direct ...

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...

Explores turning the browser into a policy enforcement point within a Zero Trust framework, covering governance, MFA, device ...

Abstract: Multi-functional uncrewed aerial vehicles (UAVs) are gaining attention for supporting multi-task missions such as delivery and federated learning (FL). However, asynchronous data uploading ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Background: Electronic Health Record (EHR) systems are central to digital health transformation, yet usability challenges continue to constrain their effectiveness, particularly in mental healthcare ...

Objective To map the implementation and adaptation of life skills training programmes for individuals with schizophrenia spectrum disorder across diverse settings, identifying frameworks, intervention ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.