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Incode Technologies Recognized as #1 Technology for Age Estimation and Verification in Study by the National Institute of Standards and Technology

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Announced as a leading solution for age estimation and verification at the Global Age Assurance Standards Summit

SAN FRANCISCO, May 30, 2024 /PRNewswire/ — Incode, leader in identity verification technology, has been recognized as the top global solution for age estimation and verification in a study conducted by the National Institute of Standards and Technology (NIST). This recognition was announced at the Global Age Assurance Standards Summit.

Age estimation involves accurately predicting a user’s age based on a picture, and is crucial for applications like protecting minors from online risks and ensuring compliance with age-restricted goods and services.

The NIST study, part of the Face Analysis Technology Evaluation (FATE)*, rigorously tested various age estimation and verification algorithms from leading international companies. This evaluation assessed the effectiveness of AI-driven facial biometric technologies, which can be challenging due to variations in lighting, facial expressions, and demographic factors.

Incode’s age estimation technology demonstrated the highest performance metrics in crucial categories:

Unmatched Accuracy: Incode’s algorithms achieved the lowest mean absolute error (MAE) rates across multiple datasets, specifically for individuals of age group between 6-17 years old. Incode performed exceptionally well in both ‘mugshot’ and ‘application’ image categories, demonstrating the robustness and adaptability of its AI solutions across different scenarios.Demographic Fairness: Incode’s technology delivers unbiased age estimation across diverse demographic groups. The algorithms showed consistent performance regardless of gender and ethnicity, ensuring reliable and fair results for global applications.Robustness in Real-World Conditions: Incode’s solutions maintained high accuracy even under varied image quality conditions. The NIST report highlighted Incode’s consistent performance across different types of images, including those with lower quality such as border crossing photos, showcasing the resilience of its AI algorithms.

Ricardo Amper, CEO of Incode, stated: “Age estimation involves improving the way businesses interact with their users, and more importantly, keeping individuals safe online. This recognition from NIST not only reaffirms our leading position in the age verification market but also reflects our commitment to innovation and excellence. Our technology ensures that businesses can protect young users and comply with regulatory requirements without sacrificing user convenience and privacy.”

Incode’s AI-driven age verification solution offers a user-friendly experience, designed to be frictionless and intuitive – reducing user error, minimizing drop-off rates, and maximizing completion to help businesses retain and acquire more customers. It can be easily customized to fit different use cases across various jurisdictions and industries, with three easy methods to verify a user’s age:

Facial Age Estimation: Quickly estimates age using a live selfie, delivering results in seconds. This method, which was rigorously tested and validated by NIST, underpins Incode’s top ranking in age estimation accuracy.Document Verification: Verifies age through an ID document and a live selfie, ensuring compliance with regulatory requirements. Incode can also apply age estimation on the user’s photo to ensure the age matches the date of birth on the document.Database Verification: Compares user information against official databases, such as credit bureaus and telcos, without requiring the user to present an ID document. Age estimation can also be applied to the user’s photo to verify consistency with the age retrieved from the database.

Incode Technologies continues to innovate in the identity verification space, providing solutions that support a variety of industries, including financial services, online entertainment, social networks, and e-commerce. With over $220 million raised from notable investors like General Atlantic, Softbank, and JP Morgan, Incode is poised for further expansion and impact.

For more details, please visit www.incode.com/use-cases/age-verification.

* FATE is a comprehensive evaluation program that benchmarks the performance of facial recognition and analysis technologies, providing an impartial assessment of their accuracy and reliability.

About Incode
Incode offers an end-to-end identity verification and authentication platform, helping its clients distinguish good users from fraudulent ones, effortlessly. Incode ensures customers’ security and compliance goals are met, so they can focus on their growth objectives. Incode’s fully automated, AI-first platform is built for low friction of genuine users, coupled with instant verification and re-engagement tools that drive conversions. Its multi-layer identity platform combines proprietary AI technology, deterministic identity checks, and advanced deepfake detection to combat the most sophisticated fraud.

With over $220 million raised from investors such as General Atlantic, Softbank, and JP Morgan, Incode’s vision to “power a world of trust” is rapidly gaining global adoption. Based in San Francisco, with offices and operations worldwide, Incode is partnering with the most innovative brands to connect businesses with high-quality, low-risk customers. 

Schedule a demo at www.incode.com/schedule-demo

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SOURCE Incode Technologies

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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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

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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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

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

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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

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