Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
6don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Years of layering new tools on old infrastructure has left enterprise IT brittle and fragmented. iPaaS offers a more cohesive ...
Life Processes is often treated as a chapter to memorise, but it is far more than that. From photosynthesis to respiration, ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests.
Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...
Human clustering can be rather precarious. Small teams work well because they balance diversity of thought with coherence of ...
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