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AI Benchmark: All About Deep Learning on Smartphones in 2019
The performance of mobile AI accelerators has been evolving rapidly in the past two years, nearly doubling with each new generation of
Considerations for development and use of AI in response to COVID-19.
Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions q
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventi
standards, Predictive Value of Tests, Guidelines as Topic, Diagnostic Techniques and Procedures, Area Under Curve, Artificial Intell
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision m
Today, AI is being increasingly used to help human experts make decisions in high-stakes scenarios. In these scenarios, full automatio
Artificial Intelligence (AI) Ethics
Psychology, Engineering ethics, Ai ethics
ViZDoom: A Doom-based AI research platform for visual reinforcement learning
The recent advances in deep neural networks have led to effective vision-based reinforcement learning methods that have been employed
From the Semantic Web to social machines: A research challenge for AI on the World Wide Web
AbstractThe advent of social computing on the Web has led to a new generation of Web applications that are powerful and world-changing
A governance model for the application of AI in health care.
As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becom
AI for medical imaging goes deep
An artificial intelligence (AI) using a deep-learning approach can classify retinal images from optical coherence tomography for early
Asking ‘Why’ in AI: Explainability of intelligent systems – perspectives and challenges
Summary Recent rapid progress in machine learning (ML), particularly so‐called ‘deep learning’, has led to a resurgence in inter
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