Artificial Intelligence Basic Research Directions at the U.S. Air Force

2014 ◽  
Vol 23 (06) ◽  
pp. 1460024
Author(s):  
Peter Z. Revesz
Keyword(s):  
Artificial Intelligence ◽  
Air Force ◽  
Situational Awareness ◽  
Autonomous Systems ◽  
Basic Research ◽  
Machine Intelligence ◽  
Research Directions ◽  
Research Areas ◽  
Human Computer Interfaces ◽  
The U.S

This survey gives a review of recent artificial intelligence-related research directions that are considered priority areas by the U.S. Air Force and targeted for basic research funding by Air Force Office of Scientific Research. These research areas include space situational awareness, autonomous systems, sensing and information fusion, surveillance, navigation, robust decision making, human-computer interfaces, and computational and machine intelligence. The possible contributions of artificial intelligence to these topics will be described and illustrated whenever possible by recently awarded grants.

scholarly journals A Bibliometrics Analysis of Metformin Development From 1980 to 2019

2021 ◽  
Vol 12 ◽  
Author(s):  
Yanjun Song ◽  
Pei Ma ◽  
Yu Gao ◽  
Peigen Xiao ◽  
Lijia Xu ◽  
...  
Keyword(s):  
Wide Spectrum ◽  
Basic Research ◽  
Future Research ◽  
Knowledge Map ◽  
Research Directions ◽  
Glucose Lowering ◽  
Research Areas ◽  
Future Research Directions ◽  
Bibliometrics Analysis

Metformin, the first-line oral blood glucose-lowering agent to manage type 2 diabetes, has gained growing popularity on both clinical application and basic research since early 1980s. A thorough and systematic knowledge map of metformin is pertinent to evaluate the research frontier and determine knowledge gaps. To this end, 20, 526 publications were analyzed by bibliometrics and data visualization to demonstrate the current global research status, potential hotspots, and perspectives on future research directions. In addition, the metformin development along the historical line was illustrated over the last 40 years. In sum, this study provides a comprehensive analysis that delineates the evolution of the historical milestones of metformin development, and we discuss the future research directions based on objective data analysis from a wide spectrum of metformin research areas.

scholarly journals On the philosophical, cognitive and mathematical foundations of symbiotic autonomous systems

2021 ◽  
Vol 379 (2207) ◽  
pp. 20200362
Author(s):  
Yingxu Wang ◽  
Fakhri Karray ◽  
Sam Kwong ◽  
Konstantinos N. Plataniotis ◽  
Henry Leung ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Collective Intelligence ◽  
Autonomous Systems ◽  
Basic Research ◽  
Machine Intelligence ◽  
Cognitive Systems ◽  
Intelligent Machines ◽  
Autonomous Machine ◽  
Cognitive Robots ◽  
Mathematical Foundations

Symbiotic autonomous systems (SAS) are advanced intelligent and cognitive systems that exhibit autonomous collective intelligence enabled by coherent symbiosis of human–machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general-AI technologies that either function without human intervention or synergize humans and intelligent machines in coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviours. This paper explores the cognitive and mathematical foundations of SAS. The challenges to seamless human–machine interactions in a hybrid environment are addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, cognitive computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via autonomous knowledge learning systems that symbiotically work between humans and cognitive robots. This article is part of the theme issue ‘Towards symbiotic autonomous systems'.

scholarly journals Clinical Information Systems and Artificial Intelligence: Recent Research Trends

2019 ◽  
Vol 28 (01) ◽  
pp. 083-094 ◽  
Author(s):  
Carlo Combi ◽  
Giuseppe Pozzi
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Clinical Information ◽  
Hospital Information Systems ◽  
Clinical Information Systems ◽  
Major Research ◽  
Research Directions ◽  
Healthcare Data ◽  
Research Areas

Objectives: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI) techniques. Methods: We selected the major journals (11 journals) collecting papers (more than 7,000) over the last five years from the top members of the research community, and read and analyzed the papers (more than 200) covering the topics. Then, we completed the analysis using search engines to also include papers from major conferences over the same five years. Results: We defined a taxonomy of major features and research areas of CIS, HIS, EHR systems. We also defined a taxonomy for the use of Artificial Intelligence (AI) techniques on healthcare data. In the light of these taxonomies, we report on the most relevant papers from the literature. Conclusions: We highlighted some major research directions and issues which seem to be promising and to need further investigations over a medium- or long-term period.

scholarly journals Artificial Intelligence and Military Applications: Innovations, Cybersecurity Challenges & Open Research Areas

2021 ◽  
Author(s):  
Priyanka Jayakumar ◽  
Sarfraz Nawaz Brohi ◽  
Noor Zaman Jhanjhi
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Autonomous Systems ◽  
Military Technology ◽  
Research Areas ◽  
Current State ◽  
Open Research ◽  
Military Applications ◽  
The Many ◽  
The Military

Over the years, Artificial Intelligence (AI) has seen a steady progress in development and evolution that can aid many sectors. Today, AI plays an essential role in the Fourth Industrial Revolution, and it is making its way into the military sector as well. Many countries are actively looking into AI military technology. Some of these innovations include image recognition, text analysis, Self-driving vehicles (SDV), gaming, robotic process automation (RPA) & Robotic and Autonomous Systems (RAS), and Autonomous Weapons Systems (AWS). In this research, we discuss the advantages of each innovation mentioned and analyze the many different cybersecurity threats that awaken due to military artificial intelligence systems. We then discuss the open research areas to better improve the current state of military artificial intelligence applications in terms of ethics, system security, proper strategy plan, accepted responsibility matrix, and introduction of relevant laws.

scholarly journals Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio

2021 ◽  
Vol 10 (6) ◽  
pp. 50-53
Author(s):  
Anusha . ◽  
Poorva Agrawal ◽  
Gagandeep Kaur
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Computer Science ◽  
Mobile Application ◽  
New Technology ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

Artificial intelligence is a new technology in the field of computer science and information technology. Artificial intelligence techniques are very useful and also applied in many businesses. There are many research areas and opportunities in the field of Artificial intelligence. Artificial intelligence refers to the simulation of human intelligence in machines. Artificial intelligence allows app developers to achieve better mobile application experiences and also helps to improve personalized selections for users. This paper explores the different areas of the artificial intelligence-based system in tourism. This paper presents important future research directions.

Hearing Conservation in the U.S. Air Force

2004 ◽  
Vol 10 (1) ◽  
pp. 25-27
Author(s):  
Jonathan Thomas ◽  
Gabriel Almario
Keyword(s):  
Air Force ◽  
Hearing Conservation ◽  
The U.S
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