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Essence SmartCare Selected to Provide Advanced Remote Senior Care Technology for “INES” Research Project

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The research, led by Techniker Krankenkasse aims to demonstrate how innovative SmartCare emergency detection systems can help independent seniors age in place

HERZLIYA, Israel, Feb. 14, 2024 /PRNewswire/ — Essence SmartCare, a global leader in IoT remote care solutions, has announced it was chosen as the sole technology provider for the “INES” (intelligent emergency detection system) project. Sponsored by the Innovation Fund, the project is being spearheaded by Techniker Krankenkasse (TK), one of the largest health insurance funds in Germany, along with a total of nine partners. The initiative aims to shift Germany’s elderly care paradigm, launching a research study to determine to what extent the use of smart emergency systems can effectively improve the care of independent seniors. The INES study will serve as a proof of concept for future initiatives, and is being conducted in tandem with Die Johanniter-Unfall-Hilfe e.V., a nonprofit healthcare organization providing aid both in Germany and internationally, and the Deutsches Rotes Kreuz (DRK).

Recent reports indicate that Germany’s aging population will increase 37% by 2055, from roughly 5.0 million to 6.8 million individuals. Concurrent with this shift in demographics is a growing preference among seniors to live independently at home, putting strain on family members, caretakers, and even emergency responders. This collaborative effort underscores the viability and necessity of advanced telecare solutions, positioning Essence SmartCare at the forefront of a fundamental shift in care in Germany, creating a model for cost-effective elderly care and fall detection amid rising expenses associated with senior care facilities and professional caregiving.

The study, which began in June 2023 and will run for 21 months, will provide close to 2,000 seniors over the age of 75 living alone across three regions in Germany with Essence’s unique and patented technology to determine the benefits of smart emergency detection devices. This includes the AI-enabled MDsense solution – a radar-based, non-wearable home monitoring system that automatically detects falls and contacts emergency services – as well as its Voice Extender, which allows seniors to make 2-way calls from any room in the home. Essence’s platform was chosen as the sole technology provider, catalysing the digital transformation of an analogue health system and enabling individuals to thrive safely within the comfort of their own homes.

“We look forward to embarking on this initiative with TK and their esteemed partners to redefine the standard of care for aging populations in Germany,” said Dr. Haim Amir, CEO and Founder of Essence Group. “This is a huge step forward in moving beyond traditional ‘red button’ solutions, and we’re honored our radar fall detection device, MDsense, was selected to drive the transformation — playing a key role in creating a safer and smarter independent living environment for seniors in a scalable and financially viable way.”

Essence’s radar-based fall detection technology stood out in a thorough vetting process, demonstrating unparalleled reliability with superior accuracy in fall detection and a remarkably low false positives rate. MDsense also distinguished itself with its simple installation, low maintenance, and cost-efficiency. Additionally, Essence’s Voice Extender is equipped with intelligent extender capabilities to provide a vital communication link even when the panic button is out of reach. Essence SmartCare emerged as a leader for the INES project based on the company’s extensive global experience in remote care solutions and the advanced capabilities of its solutions to meet the needs of seniors living alone in Germany.

“At Essence SmartCare, our systems are meticulously designed to deliver a responsive and customizable solutions that maintains the dignity and autonomy of the elderly,” said Karin Schifter-Maor, CEO of Essence SmartCare. “As German citizens face rising costs associated with providing elderly care, we recognized an opportunity for Essence to significantly contribute to the development of a cohesive care infrastructure that will empower individuals to live independently, without being overburdened with costs.”

About Essence SmartCare

Essence SmartCare, part of the Essence Group, develops advanced health and remote monitoring platforms for market-leading healthcare and senior care providers, enabling smart preventive care and emergency response so seniors can live life to the fullest – with total peace of mind. Partnering with Essence SmartCare helps position companies as progressive, forward-thinking and in touch with the need to enable elderly and vulnerable people to lead more independent and safer lives.  Essence SmartCare has a global presence with customers in over 30 countries and has offices and representatives worldwide.

For more information: www.essencesmartcare.com 

Follow Essence Group on LinkedInTwitter and Facebook

Essence Media Contact:
Mushkie Meyer
Headline Media
mushkie@headline.media
UK: +44 203 769 4034
US: +19143364035

Photo: https://mma.prnewswire.com/media/2340323/Essence_INES.jpg
Logo: https://mma.prnewswire.com/media/1549743/Essence_SmartCare_Logo.jpg

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SOURCE Essence SmartCare

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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.

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SOURCE Air Products

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