This document provides an overview of recent research in deep learning for computer vision and natural language processing tasks. It summarizes key papers on neural image caption generation with visual attention, a neural network with an external memory component, and explaining and harnessing adversarial examples. It also lists several datasets for video description, visual question answering, and summarizing videos.
RPA and AI impact on Banking - 4th Annual Back Office Operations Forum, ViennaUiPath
There is no doubt the universe of artificial intelligence extends far beyond the world of robotic process automation. AI is actually an umbrella covering a broad set of methods, algorithms and technologies that make software ‘smart’. Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI. They collectively form a subset of AI broadly termed ‘cognitive technologies’.
Capgemini Consulting RPA: the next revolution of Corporate FunctionsUiPath
More than ever, Technology reached a tipping point in
the optimization of Corporate Functions.
Similar to robotization of production lines in the 90’s, Corporate
Functions are initiating today their robotic transformation/
revolution.
We believe Robotic Process Automation or RPA is the lever
that will take these Corporate Functions to the next level by:
• Improving employee and customer satisfaction
• Accelerating productivity gains
• Enhancing compliance
To reach these benefits, RPA must be implemented on key
Corporate Functions that include repetitive, standardized
and transactional processes and activities such as Finance,
Compliance, Treasury and Marketing.
Within these Corporate Functions, not all processes and
activities are eligible to RPA though, hence the need to select
them carefully in order to reap the maximum benefit from
RPA implementation.
An additional RPA key success factor consists of paying a
particular attention to design an appropriate implementation
journey sticking to company specifics.
This document provides an overview of recent research in deep learning for computer vision and natural language processing tasks. It summarizes key papers on neural image caption generation with visual attention, a neural network with an external memory component, and explaining and harnessing adversarial examples. It also lists several datasets for video description, visual question answering, and summarizing videos.
RPA and AI impact on Banking - 4th Annual Back Office Operations Forum, ViennaUiPath
There is no doubt the universe of artificial intelligence extends far beyond the world of robotic process automation. AI is actually an umbrella covering a broad set of methods, algorithms and technologies that make software ‘smart’. Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI. They collectively form a subset of AI broadly termed ‘cognitive technologies’.
Capgemini Consulting RPA: the next revolution of Corporate FunctionsUiPath
More than ever, Technology reached a tipping point in
the optimization of Corporate Functions.
Similar to robotization of production lines in the 90’s, Corporate
Functions are initiating today their robotic transformation/
revolution.
We believe Robotic Process Automation or RPA is the lever
that will take these Corporate Functions to the next level by:
• Improving employee and customer satisfaction
• Accelerating productivity gains
• Enhancing compliance
To reach these benefits, RPA must be implemented on key
Corporate Functions that include repetitive, standardized
and transactional processes and activities such as Finance,
Compliance, Treasury and Marketing.
Within these Corporate Functions, not all processes and
activities are eligible to RPA though, hence the need to select
them carefully in order to reap the maximum benefit from
RPA implementation.
An additional RPA key success factor consists of paying a
particular attention to design an appropriate implementation
journey sticking to company specifics.