Connect with us

Technology

AI Applied Consortium Launches National AI Video Analytics Program

Published

on

The AI Applied Consortium, in collaboration with students and faculty from the Georgia Institute of Technology, DePaul University, and municipalities and cities across the United States, is excited to announce the launch of a pioneering Artificial Intelligence Video Analytics Program

NEW YORK, Aug. 5, 2024 /PRNewswire-PRWeb/ — The AI Applied Consortium, in collaboration with students and faculty from the Georgia Institute of Technology, DePaul University, and municipalities and cities across the United States, is excited to announce the launch of a pioneering Artificial Intelligence Video Analytics Program. This initiative aims to revolutionize the management and appreciation of urban multi-use trails and public areas by transforming data into actionable insights for urban planning and improving the quality of life for communities across the nation. The program also actively involves students and faculty from these esteemed institutions, fostering an environment of learning and innovation.

“Data science and AI have the potential to transform urban living by providing critical insights for better decision-making and sustainability,” said Ilyas Ustun, Director of Data Science at DePaul University.

The AI Video Analytics Program, utilizing state-of-the-art AI computer vision technology, analyzes pedestrian and cyclist traffic patterns. This information will be instrumental in economic impact studies, environmental benefits, and strategic planning to enhance local business patronage and community engagement.

The AI Video Analytics Program is distinguished by its holistic approach, focusing on community engagement, privacy, and interdisciplinary collaboration. The program leverages cutting-edge AI technologies to provide comprehensive insights while prioritizing the privacy and security of individuals. By obfuscating personally identifiable information at the edge, the program ensures data security and builds user trust. Additionally, the use of synthetic data and advanced AI vision models enables the program to offer accurate and adaptable insights applicable to diverse urban settings.

A significant aspect of the program is its community-centric focus. Through educational workshops, R&D partnerships with universities, and collaborations with non-profits and local businesses, the program fosters economic development and technological advancement on a national scale. This inclusive approach ensures that the benefits of the AI Video Analytics Program extend beyond technological innovation to enhance community engagement and regional development.

“This program showcases our commitment to leveraging advanced technologies to enhance urban planning and community engagement,” said Michael Braun, Smart City Lead for the AI Applied Consortium. “By bringing together diverse expertise, we are not only advancing technology but also ensuring its positive impact on society and the environment.”

“This program showcases our commitment to leveraging advanced technologies to enhance urban planning and community engagement,” said Michael Braun, Smart City Lead for the AI Applied Consortium. “By bringing together diverse expertise, we are not only advancing technology but also ensuring its positive impact on society and the environment. Our work is about more than just data collection—it’s about creating actionable insights that cities can use to foster growth, improve sustainability, and enhance the quality of life for their residents. This is just the beginning of what AI-driven solutions can offer in reshaping urban landscapes and ensuring our infrastructure meets the demands of the future.”

The project aims to demonstrate the AI Computer Vision solution’s ability to provide analysis of foot and vehicular traffic, focusing on multi-use trail and public area management. This comprehensive approach aims to not only leverage the technological benefits of video analytics but also to strengthen community ties and drive regional development nationally.

The program also focuses on understanding and reducing carbon emissions through the creation of multi-use trails that encourage greener commutes. By using deep AI video analytics to understand traffic patterns and promoting pedestrian and cyclist pathways, the AI Applied Consortium aims to contribute to environmental sustainability on a national scale.

“Data science and AI have the potential to transform urban living by providing critical insights for better decision-making and sustainability,” said Ilyas Ustun, Director of Data Science at DePaul University. “Our collaboration in this initiative represents a significant step towards harnessing these technologies for public good.”

The program is supported by notable individuals including Patricia Burke Hansen from the City of Brookhaven, and Shaun Green from Atlanta Beltline, among others. Their involvement underscores the program’s commitment to community engagement and interdisciplinary collaboration.

Beyond the immediate focus on urban multi-use trails, the AI Video Analytics Program has far-reaching applications. This technology holds significant potential for smart-city use cases, including civil construction and the analysis of outdated infrastructure. By extending the scope of this program, cities can leverage AI-driven analytics to address pressing infrastructure challenges, optimize urban planning, and enhance the resilience of their communities. The ability to understand and act on data-driven insights will be crucial as cities across the nation work to modernize and improve their infrastructure in the face of evolving demands.

The AI Applied Consortium catalyzes transformation in manufacturing, energy, life sciences, and public sectors through applied AI, mixed reality, and IoT innovation. By merging academic brilliance with technological innovation, the consortium pioneers applied AI research and practical applications that elevate businesses, federal and state organizations nationwide. Together, they are shaping a future where industries, government agencies, and workers thrive in the era of applied AI, seamlessly integrating mixed reality and IoT technologies to excel in the complexity of their tasks.

The AI Applied Consortium is guided by a distinguished Board of Trustees, including Adam Berg (Manager of Learning Solutions, TechnipFMC), Michael Braun (Senior Consultant, Canopy Management), Michael Burgess (Deputy CEO, Millison Casting), Nezih Altay (Professor, DePaul University), William Aiken (PhD, University of Ottawa), Prasanna Vijayanathan (Senior Engineer, Netflix), Hasan Poonawala (Professor, University of Kentucky), Shaun Green (Principal Engineer, Atlanta Beltline), Abhishek Joshi (Vice President, Visa), Konrad Konarski (Vice President AI, Prolifics Inc. and Chairperson of AI Applied Consortium), Mike McFarlane (BASF, Retired), and Jungwoo Ryoo (Chancellor, Penn State University).

For more information about the consortium and its initiatives, please visit http://aaiconsortium.org.

The AI Video Analytics Program is already operational, demonstrating significant potential in its initial phase. This comprehensive “as-a-service” experience includes all necessary hardware, software, and service support, ensuring communities nationwide benefit from the latest technological advancements.

Media Contact

Michael Braun, AI Applied Consortium, 1 (850) 241-3860, mbraun@aaiconsortium.org, http://aaiconsortium.org.

View original content:https://www.prweb.com/releases/ai-applied-consortium-launches-national-ai-video-analytics-program-302213839.html

SOURCE AI Applied Consortium

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

Published

on

By

SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

Continue Reading

Technology

Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

Published

on

By

SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

Continue Reading

Technology

Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

Published

on

By

New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

View original content to download multimedia:https://www.prnewswire.com/news-releases/air-products-to-expand-industrial-gas-supply-for-samsung-electronics-next-generation-semiconductor-fab-in-south-korea-302757497.html

SOURCE Air Products

Continue Reading

Trending