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Hyperweb Announces Grant Program for UC Berkeley Students

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Founder Dan Lynch, an alumnus of Berkeley, encourages students to build decentralized apps in the developer-friendly end-to-end Typescript ecosystem

SAN FRANCISCO, Dec. 11, 2024 /PRNewswire/ — Hyperweb, an end-to-end Typescript ecosystem for building decentralized applications, is excited to announce a $25,000 grant program in collaboration with the Blockchain at Berkeley student organization. The initiative will engage UC Berkeley students in developing the next generation of the internet through creating smart contracts in Typescript on Hyperweb.

“I’m thrilled to be collaborating with Blockchain at Berkeley to encourage the innovation it’s become known for,” said Dan Lynch, Founder of Hyperweb. “Fellow members of the Berkeley community have built forward-thinking projects like Osmosis, Stride, Saga, Evmos, and Babylon, but that doesn’t mean you need to be a full stack developer versed in an arcane web3 language to succeed in the space. Hyperweb is all about democratizing the ability to build onchain by making it as simple as writing Typescript.”

The collaboration with Blockchain at Berkeley will drive development of foundational smart contracts on Hyperweb, ranging from decentralized identity verification to subscription-based service payments, and multi-signature wallets, with students also given the freedom to be creative in developing other onchain programs.

Breaking into web3 has been challenging to date. Ravi Riley, Head of Consulting for Blockchain at Berkeley reflects: “I’ve been teaching new devs full stack web3 engineering for over a year now, which presents unique challenges. From standard web2 apps in one environment, to writing contracts in an entirely separate one, and then integrating the two with new libraries, it’s a lot to grok. Hyperweb enabling full-stack type safety, among other benefits of writing apps, business logic, and smart contracts all in the same language, is a huge unlock for future developers and enables anyone building apps in web2 to easily integrate web3.”

Lynch has a long history of involvement in Berkeley’s entrepreneurial community. While earning undergraduate and graduate degrees in Electrical Engineering and Computer Science (EECS) and completing the MOT Program at the Haas School of Business at UC Berkeley, he simultaneously launched two companies, famo.us and Brandcast, no-code platforms for building apps and websites, respectively.

During this same period, he conceived Mathapedia as a graduate research project under Professors Babak Ayazifar and Edward Lee, developing the platform in collaboration with the American Mathematical Society to create 350 pages of signal processing materials for EECS courses that students continue to use more than a decade later.

Post-graduation, he co-organized the Founder School startup program with his co-founder at famo.us, where he served on panels, facilitated operations, and helped guide participating startups—six of which went on to raise a collective $6M in funding. In 2016, he expanded his involvement by becoming a mentor at The House (now The House Fund), a UC Berkeley-focused startup incubator and venture capital arm supporting university founders.

Continuing his commitment to Berkeley’s ecosystem, Lynch and Hyperweb are collaborating with Blockchain at Berkeley, furthering the university’s legacy of making technology accessible to developers worldwide. Through this grant program, Berkeley students will shape the future of web3 development as they build on the Hyperweb platform ahead of its testnet launch.

About Hyperweb
Hyperweb, the end-to-end TypeScript blockchain ecosystem, provides best-in-class UI and client-side tooling to pair with its TypeScript smart contract development environment. By enabling smart contract creation in the most popular development language on the planet, Hyperweb significantly lowers the barrier to entry for the 20 million+ JavaScript developers worldwide.

Hyperweb is the culmination of Cosmology‘s work building the “printing press” for code, democratizing development and elevating developers to work on a higher conceptual plane. By successfully engineering an optimized developer experience, our tools for web2, web3, and AI have amassed over 30 million downloads. Our web3 suite supports 150+ blockchains, including multi-billion dollar market cap giants like dYdX, Celestia, and Osmosis, which process billions of dollars in transactions monthly. LaunchQL, our PostgreSQL toolkit, powers 1.5M+ databases for industry leaders like Supabase and Neon DB.

Our no-code, low-code, and no-chain paradigms operate at the very DNA of software, revolutionizing the developer experience. Founder Dan Lynch brings two decades of expertise in launching successful no-code ventures, raising over $120M and serving Fortune 100 brands. His no-code website builder, Brandcast, was acquired by TIME. Our team includes Cosmos ecosystem pioneers who created the first Ethereum bridge in the interchain, architected and built the IBC protocol, and led development of critical blockchain infrastructure such as the Cosmos SDK, Cosmos Hub, and Osmosis.

About Blockchain at Berkeley
Blockchain at Berkeley drives innovation in the blockchain industry by building an ecosystem that empowers students to make an impact through practical education, consulting for enterprise companies, and conducting open-source research.

Press Contact
Frank Spence
387520@email4pr.com
415-294-1157

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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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