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World’s First: AutoStatSpectra, Software That Automates Spectral Analysis with Bayesian Statistics, Launches a 7-Day Free Trial — a.s.ist Inc.

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Supports a wide range of spectral data, including XPS, FT-IR, and NMR. From automatic determination of peak count and peak shape to background and noise estimation, AutoStatSpectra enables analysis with less dependence on individual analyst experience.

TAIPEI and SINGAPORE, April 27, 2026 /PRNewswire/ — a.s.ist Inc. (“a.s.ist”) leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.

a.s.ist today announced the launch of a 7-day free trial for AutoStatSpectra, its Bayesian-statistics-based spectral analysis software. During the trial period, all features will be available without restriction.

*The “World’s First” claim in the title is based on research conducted by a.s.ist and reflects information available as of April 2026.

Background

In spectral analysis techniques such as XPS (X-ray Photoelectron Spectroscopy), FT-IR (Fourier Transform Infrared Spectroscopy), and NMR (Nuclear Magnetic Resonance), analytical results are heavily influenced by how overlapping peaks are separated and how the number of peaks, the parameters for each peak, and the peak function types are defined.

However, with conventional curve-fitting software, these settings often depend on the analyst’s experience and trial and error, creating challenges in objectivity and reproducibility.

AutoStatSpectra uses Bayesian inference to automatically estimate the number of peaks, peak parameters, and peak function types, while also quantifying uncertainty in the estimates. It delivers statistically grounded spectral analysis that does not rely on the analyst’s subjective judgment.

Key Features of AutoStatSpectra

1. Automatic estimation of peak count, peak parameters, and peak function types

AutoStatSpectra compares candidate models within a user-specified range and automatically selects the optimal number of peaks based on posterior probability. In addition to estimating parameters such as the height, center position, and full width at half maximum (FWHM) of each peak, it also automatically determines the most suitable peak function type for the data, including Gaussian, Lorentzian, and pseudo-Voigt functions. Because uncertainty in each estimate can also be evaluated quantitatively, the software enables highly reproducible peak fitting with less reliance on analyst experience and trial and error.

2. Flexible background correction

In addition to constant and linear background models, AutoStatSpectra supports multiple background-correction methods, including the Shirley method for XPS. Users can flexibly choose preprocessing methods according to different measurement techniques.

3. Batch analysis of multiple files (multi-file workspace)

Multiple spectral datasets can be grouped into a single workspace and processed in batch under common analysis conditions. This supports efficient analysis of large volumes of data, such as condition screening and time-series comparisons.

4. Automatic generation of analysis reports

Analysis results can be automatically output as reports in PDF and Word formats. Comprehensive reports that include fitting plots, model comparison tables, parameter lists, and posterior distribution plots significantly shorten the workflow from analysis to reporting. Data export to CSV and Excel is also supported.

5. Support for diverse data formats

AutoStatSpectra supports a wide range of data formats, including CSV, Excel, VAMAS, and SOF-H.

Demo Video

For a visual overview of how AutoStatSpectra works in practice, please watch our demo video on YouTube:
https://youtu.be/3c2pc3OJgz4 

About the Free Trial
Duration: 7 days (all features available)
Availability: Web app and desktop app
Supported environments: The desktop app supports Windows (x64) and macOS (Apple Silicon)
How to apply: Please contact us via the inquiry form on our official website: https://www.a-s-ist.com/contact/. After reviewing your target data and intended use, we will issue a trial license following a consultation. Please note that the number of trial slots is limited, and applications may close once capacity is reached.
Continuing use: After the trial period, users may continue with either a monthly plan or an annual plan.

About a.s.ist Inc.

a.s.ist is a startup that leverages advanced data analysis technologies such as white-box AI, Bayesian inference, and sparse modeling, built on research expertise cultivated at The University of Tokyo.

With strengths in data analysis for materials development, physical-property experiments, and related applications, the company supports problem-solving in research and manufacturing settings through the development and sale of automated analysis software and the provision of custom digital transformation (DX) solutions. a.s.ist is also exploring the application of emerging AI technologies such as physical AI.

Company Name: a.s.ist Inc.
CEO: Yui HAYASHI
Address: 5-17-24 Iko, Adachi-ku, Tokyo 121-0823, Japan
Founded: June 2021
URL: https://www.a-s-ist.com

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SOURCE a.s.ist Inc.

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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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