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Greater San Diego Science and Engineering Fair Students Win Big at the 75th California Science and Engineering Fair

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SAN DIEGO, April 26, 2026 /PRNewswire/ — The 75th California Science and Engineering Fair (CSEF) took place April 11–12 at California Lutheran University in Thousand Oaks, bringing together 900 of the best of 1st place winners from regional competitions covering 58 counties across the state, including the Greater San Diego Science and Engineering Fair (GSDSEF). GSDSEF students earned 40 awards at the event, including two of only six highly coveted spots to the prestigious Regeneron International Science and Engineering Fair (ISEF). Seven students earned 1st Place awards in the categories of Biochemistry and Molecular Biology, Chemistry, Cognitive Science, Microbiology, Physics and Astronomy, and Zoology. In addition, one student won the Saban Family Foundation Scholar Prize, while another won the South Coast AQMD Air Quality Award and A&WMA Environmental Leadership Award. CSEF is the oldest science fair west of the Mississippi River and the highest level competition in the state.

Top winners were:

Arya Bhatt, Grade 7, Oak Valley Middle School, South Coast AQMD Air Quality Award, A&WMA Environmental Leadership Award, “Context Aware Real Time Air Quality Prediction Using Machine Learning”.

Joie Green, Grade 8, Muirlands Middle School, 1st Place, “Soon I will be Invisible: How to Direct Energy with Topological Metamaterials”.

Maggie Hao, Grade 10, The Bishop’s School, 1st Place, “Harnessing Tardigrade Genes to Enhance Bacterial Biosensors for Heavy Metal Pollutant Detection”.

Uma Kattamuri, Grade 7, Oak Valley Middle School, 1st Place, “Elevated CO2 During Kalanchoe pinnata Growth Reveals Enhanced Antiproliferative and Synergistic Therapies”.

Sonika Dhenuva Konda, Grade 11, Del Norte High School, Saban Family Foundation Scholar Prize, “Adaptive Swarm Coordination for Wildfire Control via Q-Learning Tuned PSO with Quantum-Inspired Coupling”.

Emma Liu, Grade 11, The Bishop’s School, ISEF Finalist, 1st Place, “Defining 3D Phenotypic Cell States of Polymorphonuclear Neutrophils via Novel Computational Pipeline”.

Sharvi Mahajan, Grade 8, Bernardo Heights Middle School, 1st Place, “Evaluating Predictive EEG Theta/Beta Features in Adult ADHD via Machine Learning”.

Sydney O’Donnell, Grade 8, The Rhoades School, 1st Place, TFJIC, “Effects of Marigold Versus Chlorella Supplementation on Yolk Lutein Content”.

Ihan Sung, Grade 11, Eastlake High School, ISEF Finalist, 1st Place, “Renewable Ammonia Electrochemical Synthesis by Glow Discharge with an Iron Based Catalyst”.

Full results and project showcase available online.

About the GSDSEF

Since 1955, the Greater San Diego Science and Engineering Fair (GSDSEF) has provided an inspiring experience in science and engineering for tens of thousands of San Diego and Imperial County students, motivating them to pursue careers in science, technology, engineering, and mathematics. This regional competition challenges students to go beyond classroom studies to do independent research – to ask compelling questions, to design and implement innovative solutions, and to present and defend results to judges who are professionals in their fields. The GSDSEF brings together 800 of the best middle and high school students, 400+ judges who are professionals in their fields and over 60 professional societies and organizations, with $40k in prizes awarded.

The GSDSEF fosters creativity and innovation through inquiry, celebrates students’ STEM achievements, and showcases how young minds can make an impact in the present and future. Many of these student scientists are conducting world-class research and conducting groundbreaking experiments in fields ranging from Astronomy to Zoology, such as the discovery of cures for diseases, formulations of new vaccines, cancer research, applying AI to enhance medical diagnoses, using biomimicry for water conservation, novel drone technology, advances in micro robotics and autonomous driving technology. The GSDSEF is the highest-level STEM competition in the region and one of the oldest, most respected and competitive in the world. The GSDSEF is a 501(c)(3) organization. Learn more at gsdsef.org and follow us on LinkedIn and Instagram.

Copyright © 2026 Greater San Diego Science and Engineering Fair. All rights reserved.

Media Contact:
Sany Zakharia
sany.zakharia@gsdsef.org

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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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