Scientists Discover the Brain Can Rewire Itself To Truly Multitask

Extensive practice can rewire the brain so a learned skill runs more automatically, making some forms of true multitasking ...
Aerospace and Mechanical Insider on MSN

Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
techxplore

A novel deep learning architecture for multi-source data fusion

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...
The New York Times

Teaching and Learning in the Age of A.I.

Re “Tech Giants Racing to Add A.I. to Schools Around the World” (Business, Jan. 5): With the proliferation of A.I. tools and the push for their adoption in schools, there has never been a greater need ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
ahajournals.org

Abstract 4369022: A multi-task deep learning algorithm for detecting obstructive coronary artery disease using fundus photographs

Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...
IEEE

Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing

Abstract: Finding an optimal energy-efficient policy that is adaptable to underlying edge devices while meeting deadlines for tasks has always been challenging. This research studies generalized ...
IEEE

Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach

Abstract: Split computing has emerged as a promising approach to alleviate the resource constraints of IoT devices by offloading computation to edge servers. However, conventional split computing ...