Recent Advances in Artificial Intelligence and Data Engineering

2022 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Recent Advances ◽  
Data Engineering

A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things

2021 ◽  
pp. 1-1
Author(s):  
Zhuoqing Chang ◽  
Shubo Liu ◽  
Xingxing Xiong ◽  
Zhaohui Cai ◽  
Guoqing Tu
Keyword(s):  
Artificial Intelligence ◽  
Edge Computing ◽  
Recent Advances

scholarly journals A Survey of Robots in Healthcare

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Maria Kyrarini ◽  
Fotios Lygerakis ◽  
Akilesh Rajavenkatanarayanan ◽  
Christos Sevastopoulos ◽  
Harish Ram Nambiappan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The Elderly ◽  
Robotic Systems ◽  
Care Hospital ◽  
Robotic Technology ◽  
Persons With Disabilities ◽  
Survey Paper ◽  
Recent Advances ◽  
Art Research

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assisting robots. The paper also discusses the open challenges healthcare robots face to be integrated into our society.

scholarly journals Are Artificial Intelligence (AI) And Machine Learning (ML) Having An Effective Role In Helping Humanity Address The New Coronavirus Pandemic?

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Outbreaks ◽  
Hospital Capacity ◽  
Data Engineering ◽  
Clinical Presentations ◽  
The Face ◽  
Effective Role ◽  
Using Data ◽  
The Right

COVID-19 has become a pandemic affecting the most of countries in the world. One of the most difficult decisions doctors face during the Covid-19 epidemic is determining which patients will stay in hospital, and which are safe to recover at home. In the face of overcrowded hospital capacity and an entirely new disease with little data-based evidence for diagnosis and treatment, the old rules for determining which patients should be admitted have proven ineffective. But machine learning can help make the right decision early, save lives and lower healthcare costs. So, there is therefore an urgent and imperative need to collect data describing clinical presentations, risks, epidemiology and outcomes. On the other side, artificial intelligence(AI) and machine learning(ML) are considered a strong firewall against outbreaks of diseases and epidemics due to its ability to quickly detect, examine and diagnose these diseases and epidemics.AI is being used as a tool to support the fight against the epidemic that swept the entire world since the beginning of 2020.. This paper presents the potential for using data engineering, ML and AI to confront the Coronavirus, predict the evolution of disease outbreaks, and conduct research in order to develop a vaccine or effective treatment that protects humanity from these deadly diseases.

Recent Advances in Graphene-Based Pressure Sensors

Nano LIFE ◽  
2016 ◽  
Vol 06 (03n04) ◽  
pp. 1642005 ◽  
Author(s):  
Lu Zhang ◽  
Guangfeng Hou ◽  
Zhizhen Wu ◽  
Vesselin Shanov
Keyword(s):  
Artificial Intelligence ◽  
Mechanical Properties ◽  
Health Care ◽  
Electrical Conductivity ◽  
Surface Area ◽  
Pressure Sensor ◽  
Pressure Sensors ◽  
Exciting Field ◽  
Recent Advances ◽  
Artificial Intelligence Systems

With the promising applications in artificial intelligence systems and wearable health care devices, great efforts have been devoted to develop advanced pressure sensors. Graphene-based materials are promising pressure sensor materials due to the excellent electrical conductivity, outstanding mechanical properties and large surface area. This review summarizes the recent advances and progress in graphene and graphene-based pressure sensors. Perspectives and challenges in this exciting field are also highlighted and discussed.

scholarly journals Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges

2020 ◽  
Vol 27 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Cheng-Xiang Wang ◽  
Marco Di Renzo ◽  
Slawomir Stanczak ◽  
Sen Wang ◽  
Erik G. Larsson
Keyword(s):  
Artificial Intelligence ◽  
Wireless Networking ◽  
Recent Advances ◽  
Future Challenges

scholarly journals Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

2019 ◽  
Vol 33 (2) ◽  
pp. 31-50 ◽  
Author(s):  
Ajay Agrawal ◽  
Joshua S. Gans ◽  
Avi Goldfarb
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Labor Market ◽  
Market Impact ◽  
Recent Advances ◽  
The Impact ◽  
Decision Tasks

Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when the automation of prediction leads to automating decisions versus enhancing decision-making by humans.

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