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Combining Artificial Intelligence with Robotic Process Automation—An Intelligent Automation Approach

2021
Process Automation has the potential to bring great benefits for businesses and organizations especially in the financial services industry where businesses are information-intensive and experience rich data flows. This was achieved mainly via Robotic Process Automation (RPA), but the increased complexity of the Machine Learning (ML) algorithms ...
Nishant Jha   +2 more
openaire   +1 more source

Data-Driven Injection Attack Against Discrete-Time Intelligent Automation Systems With Slowly Time-Varying Delays

IEEE Transactions on Automation Science and Engineering
This paper addresses data-driven injection attack against unknown intelligent automation systems (IASs) with slowly time-varying delays, which is a more general but also more challenging to deal with than the model-based real-time systems.
Sheng Gao   +4 more
semanticscholar   +1 more source

Intelligent Virtual Assistants with LLM-based Process Automation

arXiv.org, 2023
While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become ubiquitous in modern life, they still face limitations in their ability to follow multi-step instructions and accomplish complex goals articulated in natural language.
Yanchu Guan   +8 more
semanticscholar   +1 more source

Semi-automated intelligent systems

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
An intelligent system uses machine learning algorithms to provide outputs to every input provided. The introduction of emotions in intelligent systems is required to create systems that are more similar to human beings and thus more reliable. In this paper, the idea of introducing the emotion ‘uncertainty’ in Intelligent Systems is proposed.
Srihari Akash Chinam   +2 more
openaire   +2 more sources

Automation With Intelligence in Drug Research

Clinical Therapeutics, 2019
The industry has adopted Clinical Data Interchange Standards Consortium standards for clinical trial data and the Food and Drug Administration electronic common technical document standard for documents for many years but still faces many challenges. The solutions based on these standards enable integration among solo systems, but the integration needs
Hanming, Tu, Zhongping, Lin, Kevin, Lee
openaire   +2 more sources

Artificial intelligence in automated design

Proceedings of the SHARE design automation project on - DAC '66, 1966
New techniques are constantly being developed in the field of Artificial Intelligence. Too often such techniques are overlooked as being “too far out” to be practical. Frequently they offer a solution to a problem that might be difficult to solve by more traditional methods.Some of the techniques used in the field of artificial intelligence can be ...
openaire   +2 more sources

Automating Intelligence

Defining a term before it becomes meaningful is vital in capturing the importance of any term. If a term does not have a meaning that people agree with, it is only a group of characters. The most important of all is to define an idiom. It is challenging as the term's meaning isn't clear from its constituent elements. The notion is most relevant in case
Shimona Shriya   +2 more
openaire   +1 more source

Cognitive Transformation in Personal IoT: Pioneering Intelligent Automation

Cyber-Physical Systems
In recent years, IoT has transformed personal environments by integrating diverse smart devices. This paper presents an advanced IoT architecture that optimizes network infrastructure, focusing on the adoption of MQTT protocol and introducing Cognitive ...
Bisma Gulzar   +2 more
semanticscholar   +1 more source

Is Intelligent Automation Possible in the Next Century? - Paradigms of Intelligent Automation

IFAC Proceedings Volumes, 1994
Abstract What is Intelligent Automation? Is it smart Instrumentation, or a Flexible Manufacturing Systems or perhaps a Factory Modeling and Automation? Then what is Intelligence and what is Automation? Starting with the definitions of Intelligence, Automation and Intelligent Automation, this papers examines the weaknesses of the locally optimized ...
openaire   +1 more source

Intelligent RAN Automation for 5G and Beyond

IEEE wireless communications
5G is becoming more agile and inevitably more complicated for supporting various deployment scenarios and diversified applications. Artificial Intelligence (AI) is becoming one of the most essential driving forces for 5G evolution to handle the ...
Qi Sun   +5 more
semanticscholar   +1 more source

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