Best Practices for Deploying and Scaling Industrial AI
Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.
Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.
As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.
The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.
Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Best Practices for Deploying and Scaling Industrial AI
Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.
Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.
As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.
The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.
Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
New Dataset for AI-Enabled Sign Language Translation
Arrangement of outlines of human head, technological and fractal elements on the subject of artificial intelligence, computer science and future technologies
The dataset will allow more automatic sign language understanding and translation. These technologies could be applied to applications such as virtual assistants and robotics.
Artificial intelligence (AI) is helping humans save, parse, and learn language. With a new dataset, researchers and developers could get a massive boost developing technologies for the deaf community.
The How2Sign Dataset
The dataset
includes over 80 hours of videos showing sign language interpreters translating
a variety of tutorials. Amanda Duarte, a researcher in the Emerging
Technologies for Artificial Intelligence group at the Barcelona Supercomputing
Center (BSC), spent two years recording these videos and preparing the data.
Duarte also made
use of Carnegie’s Carnegie Mellon University’s Panoptic Studio, a
state-of-the-art dome-shaped studio that allowed researchers to video
translators and reconstruct their movements in 3D.
(Source: Barcelona Supercomputing Center)
Thanks to Duarte, How2Sign provides a public resource for researchers in natural language processing and computer vision, helping usher in a new era of deaf and hard of hearing enabled products and services. Making the internet more accessible is a huge goal, and one of the first applications is software that transfers signs from one user to another.
The dataset
provides a valuable resource for researchers and developers to design quality
technology that considers the needs of the deaf community. Artificial
intelligence requires computation and algorithms capability, but it also
requires data.
Future
accessibility projects
Duarte, INPhiNIT
doctoral student of the “la Caixa” Foundation, has received funding
from several sources — Facebook AI, the “la Caixa” Foundation, as
well as the collaboration of the Image Processing Group of the Universitat
Politècnica de Catalunya (UPC), Carnegie Mellon University and Gallaudet
University — to make this dataset happen.
The dataset will allow more automatic sign language understanding and translation. These technologies could expand to application areas such as virtual assistants, robotics, and other emerging technologies.
Duarte will
present the new resource at the CVPR 2021 conference later this summer. Her
work and the dataset are currently ongoing, expanding and improving the data
repository. The more the dataset expands, the more accessible technology will
become.
Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain - clearly - what it is they do.
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Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
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Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
