From Data to Knowledge to Discoveries: Artificial Intelligence and Scientific Workflows

Scientific computing has entered a new era of scale and sharing with the arrival of cyberinfrastructure facilities for computational experimentation. A key emerging concept is scientific workflows, which provide a declarative representation of complex scientific applications that can be automatically managed and executed in distributed shared resources. In the coming decades, computational experimentation will push the boundaries of current cyberinfrastructure in terms of inter-disciplinary scope and integrative models of scientific phenomena under study. This paper argues that knowledge-rich workflow environments will provide necessary capabilities for that vision by assisting scientists to validate and vet complex analysis processes and by automating important aspects of scientific exploration and discovery.

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How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

Journal of Personalized Medicine ◽

10.3390/jpm11010032 ◽

2021 ◽

Vol 11 (1) ◽

pp. 32

Author(s):

Oliwia Koteluk ◽

Adrian Wartecki ◽

Sylwia Mazurek ◽

Iga Kołodziejczak ◽

Andrzej Mackiewicz

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Health Care ◽

Medical Data ◽

General Process ◽

New Era ◽

Automated Evaluation ◽

Machine Learning Applications ◽

And Training ◽

Current Standards

With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

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Comparative study of cloud platforms to develop a Chatbot

International Journal of Engineering & Technology ◽

10.14419/ijet.v6i3.7628 ◽

2017 ◽

Vol 6 (3) ◽

pp. 57 ◽

Cited By ~ 10

Author(s):

Amit Patil ◽

Marimuthu K ◽

Nagaraja Rao A ◽

Niranchana R

Keyword(s):

Artificial Intelligence ◽

Comparative Study ◽

Time Complexity ◽

Completion Time ◽

Setup Time ◽

Human Being ◽

Cloud Platform ◽

New Era ◽

Ibm Watson ◽

Aws Lambda

Before chatbots there were simply bots: The invention of a chatbot brought us to the new era of technology, the era of conversation service. A chatbot is a virtual person that can effectively talk to any human being with the help of interactive conversion textual skill. Now a days there are many cloud-based platforms available for developing and deploying the chatbot such as Microsoft bot framework, IBM Watson, Kore, AWS lambda, Microsoft Azure bot service, Chatfuel, Heroku and many more but all those techniques has some drawbacks such as built-in Artificial Intelligence, NLP, conversion service, programming etc. This paper represents the comparison between all cloud-based chatbot technologies with some constraint such as built-in AI, setup time, completion time, complexity etc. Finally, by the comparison, we will get to know that which cloud platform is efficient and suitable for developing chatbot.

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Performance Evaluation of Artificial Intelligence on Soil Property Detection

SMART MOVES JOURNAL IJOSCIENCE ◽

10.24113/ijoscience.v4i10.166 ◽

2018 ◽

Vol 4 (10) ◽

pp. 5

Author(s):

Smriti Singhatiya ◽

Dr. Shivnath Ghosh

Keyword(s):

Artificial Intelligence ◽

Precision Agriculture ◽

Crop Production ◽

Nutrient Status ◽

Soil Testing ◽

Support Vector ◽

Soil Test ◽

New Era ◽

Agriculture Soil ◽

Historical Role

Now-a-days there is a need to study the nutrient status in lower horizons of the soil. Soil testing has played historical role in evaluating soil fertility maintenance and in sustainable agriculture. Soil testing shall also play its crucial role in precision agriculture. At present there is a need to develop basic inventory as per soil test basis and necessary information has to be built into the system for translating the results of soil test to achieve the crop production goal in new era. To achieve this goal artificial intelligence approach is used for predicting the soil properties. In this paper for analysing these properties support vector regression (SVR), ensembled regression (ER) and neural network (NN) are used. The performance is evaluated with respect to MSE and RMSE and it is observed that ER outperforms better with respect to SVR and NN.

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High-Performance Scientific Computing for the Masses: Developing Secure Grid Portals for Scientific Workflows

2010 IEEE Sixth International Conference on e-Science ◽

10.1109/escience.2010.30 ◽

2010 ◽

Cited By ~ 1

Author(s):

Cihan Altinay ◽

Markus Binsteiner ◽

Lutz Gross ◽

Dion K. Weatherley

Keyword(s):

High Performance ◽

Scientific Computing ◽

Scientific Workflows ◽

The Masses

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The Transformation and Upgrading of Applied Psychological Assessment in the New Era Enabled by Big Data and Artificial Intelligence

Advances in Social Sciences ◽

10.12677/ass.2021.107255 ◽

2021 ◽

Vol 10 (07) ◽

pp. 1839-1844

Author(s):

可淇潘

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Psychological Assessment ◽

New Era

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Artificial Intelligence & Popular Music: SKYGGE, Flow Machines, and the Audio Uncanny Valley

Arts ◽

10.3390/arts8040130 ◽

2019 ◽

Vol 8 (4) ◽

pp. 130 ◽

Cited By ~ 2

Author(s):

Melissa Avdeeff

Keyword(s):

Artificial Intelligence ◽

Popular Music ◽

Markov Models ◽

Uncanny Valley ◽

New Era ◽

Music Production ◽

Music Generation

This article presents an overview of the first AI-human collaborated album, Hello World, by SKYGGE, which utilizes Sony’s Flow Machines technologies. This case study is situated within a review of current and emerging uses of AI in popular music production, and connects those uses with myths and fears that have circulated in discourses concerning the use of AI in general, and how these fears connect to the idea of an audio uncanny valley. By proposing the concept of an audio uncanny valley in relation to AIPM (artificial intelligence popular music), this article offers a lens through which to examine the more novel and unusual melodies and harmonization made possible through AI music generation, and questions how this content relates to wider speculations about posthumanism, sincerity, and authenticity in both popular music, and broader assumptions of anthropocentric creativity. In its documentation of the emergence of a new era of popular music, the AI era, this article surveys: (1) The current landscape of artificial intelligence popular music focusing on the use of Markov models for generative purposes; (2) posthumanist creativity and the potential for an audio uncanny valley; and (3) issues of perceived authenticity in the technologically mediated “voice”.

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A Practical Approach to Artificial Intelligence in Plastic Surgery

Aesthetic Surgery Journal Open Forum ◽

10.1093/asjof/ojaa001 ◽

2020 ◽

Vol 2 (1) ◽

Author(s):

Akash Chandawarkar ◽

Christian Chartier ◽

Jonathan Kanevsky ◽

Phaedra E Cress

Keyword(s):

Artificial Intelligence ◽

Data Collection ◽

Plastic Surgery ◽

Aesthetic Surgery ◽

Practical Approach ◽

Quality Data ◽

Surgical Innovation ◽

Mathematical Basis ◽

New Era ◽

Quantitative Studies

Abstract Understanding the intersection of technology and plastic surgery has been and will be essential to positioning plastic surgeons at the forefront of surgical innovation. This account of the current and future applications of artificial intelligence (AI) in reconstructive and aesthetic surgery introduces us to the subset of issues amenable to support from this technology. It equips plastic surgeons with the knowledge to navigate technical conversations with peers, trainees, patients, and technical partners for collaboration and to usher in a new era of technology in plastic surgery. From the mathematical basis of AI to its commercially viable applications, topics introduced herein constitute a framework for design and execution of quantitative studies that will better outcomes and benefit patients. Finally, adherence to the principles of quality data collection will leverage and amplify plastic surgeons’ creativity and undoubtedly drive the field forward.

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Containing COVID-19 in China: AI and the robotic restructuring of future cities

Dialogues in Human Geography ◽

10.1177/2043820620934267 ◽

2020 ◽

Vol 10 (2) ◽

pp. 238-241 ◽

Cited By ~ 5

Author(s):

Bei Chen ◽

Simon Marvin ◽

Aidan While

Keyword(s):

Artificial Intelligence ◽

Management Strategies ◽

Autonomous Systems ◽

New Era ◽

Technological Affordances

COVID-19 has generated interest in the potential of urban robotics and automation to manage and police physical distancing and quarantine. This commentary examines the intersection between COVID-19 management strategies and the technological affordances of robotics, autonomous systems, and artificial intelligence (AI) in urban pandemic control. Examples from China illustrate the possibilities for urban robotics and automation in a new era of urban bio-(in)security.

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