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Respected pharma data science pioneer Dr Ben Sidders to spearhead Biorelate’s next growth phase as Chief Scientific Officer

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* Dr Sidders brings two decades of deep data science experience, honed across multiple therapeutic areas at Pfizer and AstraZeneca * He will build on Biorelate’s strong track record of leveraging advanced data science methods to extract critical knowledge from vast amounts of biomedical literature * These new data-derived insights are enabling drug developers to identify new targets with maximum market potential.

MANCHESTER, England, Sept. 5, 2024 /PRNewswire-PRWeb/ — Biorelate has announced the appointment of leading pharmaceutical industry data science expert, Dr Ben Sidders, as Chief Scientific Officer. Formerly Executive Director, Head of Early Data Science at AstraZeneca within Oncology R&D, Dr Sidders will spearhead a new growth phase for Biorelate, which leverages advanced data science methods to transform the focus and impact of drug discovery and development.

This prestigious appointment is an important endorsement of the great work we are doing, and we are delighted to welcome Ben on board. His scientific direction will give Biorelate an even deeper footing within modern drug discovery and development.

Dr Sidders has spent two decades leading data science teams at both AstraZeneca and Pfizer, to pioneer and apply novel data science methods for drug discovery in oncology, neuroscience and infectious disease.

Biorelate specialises in advanced data science methods for drug discovery to deliver robust, evidence-based intelligence to those making critical decisions about the next drugs to take forward. The actionable insights it distils, from across diverse ‘dark’ (previously unsearchable) knowledge assets and existing texts, ensure that investment is concentrated on the targets most likely to succeed in drug development – with a positive impact for patients, while delivering financially for the drug developer and its backers.

Dr Sidders, who has followed Biorelate closely since the company’s foundation in 2014, believes the company is at an important inflection point thanks to its proven technology and a significant opportunity to grow and scale. That’s as drug developers look to next-generation data science to transform their early research, and improve new drug candidates’ probability of success.

Of the opportunity Biorelate addresses, Dr Sidders said: “The pharmaceutical industry is rapidly adopting data science-driven approaches using artificial intelligence. This has meant a shift away from the traditional pharma R&D model (very low throughput, with heavy reliance on academic literature to determine new targets), towards an Artificial Intelligence (AI)-first approach.

“The risk with this approach is that researchers do not really understand the causality of their findings, which is critical if you want to develop a successful drug. Biorelate fills that gap by drawing on a wealth of data to develop causal models and explaining – mechanistically and in the appropriate context – what the next opportunities are and why. Crucially, Biorelate’s technology platform has causality built in – something that’s lacking in other AI approaches to drug discovery. It has proven adept at finding new targets, and has promise in other areas of the pipeline too, from biomarker discovery and patient stratification to the identification of promising drug combinations. This is a really exciting time for Biorelate, and for data science in drug discovery more broadly.”

Daniel Jamieson, Biorelate’s CEO, said: “This prestigious appointment is an important endorsement of the great work we are doing, and we are delighted to welcome Ben on board. His scientific direction will give Biorelate an even deeper footing within modern drug discovery and development.

“At AstraZeneca, Ben’s team was responsible for delivering data-driven, actionable insights to all parts of the company’s oncology portfolio, including advancing the understanding of disease. His years at Pfizer, and his extensive experience of all facets of drug discovery across major pharma, add richly to his understanding of what the industry needs now to transform R&D performance – insights and expertise we can now extend to our diverse client base.”

Dr Sidders’ personal fields of interest include immuno-oncology, network biology and the role of bioinformatics within drug discovery. He has a PhD in Molecular Biology & Bioinformatics from the University of London where his thesis focused on the development of predictive markers for the diagnosis of asymptomatic Tuberculosis. Ben holds patents for two clinical diagnostics and has authored over 30 scientific publications.

About Biorelate

Biorelate is a world leader in leveraging advanced data science methods to extract critical knowledge from vast amounts of pharmaceutical data and literature, significantly enhancing the discovery of novel biopharmaceuticals. Biorelate offers multiple product lines powered by its proprietary platform, Galactic AI™.

Galactic AI™ employs sophisticated natural language processing (NLP) and artificial intelligence (AI) to uncover hidden cause- and-effect relationships. This innovative platform provides unprecedented insights into disease pathways, enabling more precise and effective drug discovery. As the incredible progress of scientific researchers continues to compound the huge volume of growing and evolving biomedical data, Biorelate’s mission to curate knowledge to advance the world’s most promising biomedical innovations has never been so important.

Media Contact

Mira Nair, Biorelate, 44 07799153550, mira.nair@biorelate.com, https://biorelate.com/

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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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