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75th Annual Regeneron International Science and Engineering Fair Awards Teen Scientists from Around the World More Than $9 Million in 2025 Competition

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Adam Kovalčík, 19, receives $100,000 Top Award for his development of a medicine that can stop viruses from copying genes and controlling infections at the world’s largest pre-college STEM competition in Columbus, Ohio

TARRYTOWN, N.Y. and WASHINGTON, May 16, 2025 /PRNewswire/ — Regeneron Pharmaceuticals, Inc. and Society for Science (the Society) announced that Adam Kovalčík, 19, of Dulovce, Slovakia, won the $100,000 George D. Yancopoulos Innovator Award at the 75th Regeneron International Science and Engineering Fair (Regeneron ISEF), the world’s largest pre-college science and engineering competition. The award is named in honor of pioneering drug developer and Regeneron co-Founder, Board co-Chair, President and Chief Scientific Officer. Other top prizes went to projects in sustainable plastics engineering, air quality detection and advancement in prosthetics.

The top winners were recognized during two award ceremonies: the Special Awards on May 15 and the Grand Awards Ceremony on May 16. In total, more than $9 million in awards and scholarships were distributed, honoring finalists for their creativity, innovative thinking and scientific rigor. The competition brought together nearly 1,700 young scientists representing 48 U.S. states and more than 60 countries, regions and territories.

Adam Kovalčík, 19, of Dulovce, Slovakia, won first place and received the $100,000 George D. Yancopoulos Innovator Award for his new way of making the investigational antiviral drug galidesivir. Early clinical trials have shown this drug to be safe in humans. Animal tests show it may be effective against a broad spectrum of viruses. But it is expensive to produce. By starting with cheap materials from corn husk waste, he designed a shorter, more efficient way of making galidesivir. He cut the process from 15 to 10 steps and made almost twice as much drug in less time. He then used these reactions to create a new antiviral drug that may work even better. His new way to make these medicines can greatly decrease their cost, from $75/gram to about $12.50/gram. By making these medicines easier to produce, they are also easier to study, and if approved, more accessible, giving us more options to treat viral infections.

Benjamin Davis, 16, of Wrentham, Massachusetts, received the $75,000 Regeneron Young Scientist Award for creating a desktop plastic recycling system. The user-friendly system can recycle 3D printer waste and other plastics. It turns them into filaments for 3D printing. Up to 67% of the filament used in a typical 3D printing project may end up as waste. Using electrical, mechanical and chemical engineering methods, Benjamin combined pultrusion (push-through) and extrusion (pull-through) processes. Together, this made the process about 45% more efficient. His device is faster than other home recyclers and creates a higher quality product. Its easy operation means nontechnical users can recycle and 3D print more efficiently. His design is an effective recycling machine that costs 90% less than commercial options.

Siyaa Poddar, 16, of Chandler, Arizona, received the $75,000 Regeneron Young Scientist Award for her device, which rapidly detects toxic dusts. In the U.S. Southwest, toxic silica and uranium dusts from abandoned mines are a public health challenge. They contaminate the soil, air and groundwater, and can trigger autoimmune diseases like Sjögren’s syndrome. Rates of Sjögren’s syndrome are disproportionately high on Indigenous reservations in the Southwest, where many abandoned mines remain. Currently, there’s no easy, fast or affordable way to measure how much of these toxins are in the air. Siyaa designed two low-cost detectors using chemicals that easily react with uranium or silica by changing color. She trapped these chemicals in a framework made of metal atoms and organic molecules to stabilize them. Her system is an affordable, easy-to-use way to monitor air quality.

Samuel Skotnikov, 17, of Highland Village, Texas, and Chanyoung Kim and Eeshaan Prashanth, both 16, of Flower Mound, Texas, received the $50,000 Gordon E. Moore Award for Positive Outcomes for Future Generations for creating a brain-controlled bionic prosthetic leg. Current robotic limbs are expensive and can make movements feel unnatural. The team started by measuring the walking motion of their classmate, Aiden, with his usual prosthetic leg. They saw that the prosthetic’s stiffness forced the remaining part of his amputated leg to work much harder than his other leg. They designed their prosthetic leg, Neuroflex, to read the wearer’s brain signals through an EEG headband. The signals tell Neuroflex how the wearer wants to move, and Neuroflex uses its motors to support that movement. They also designed an ankle with more realistic joints. When the team tested their prototype on Aiden, it guessed the right movement 98% of the time. Their adaptable model could also relieve some of the cost burden of prosthetic limbs.

“Congratulations to the winners of this year’s Regeneron International Science and Engineering Fair,” said Maya Ajmera, President and CEO of Society for Science and Executive Publisher of Science News. “I am deeply inspired by the creative, passionate and dedicated finalists from around the world who have come together—across borders, cultures and scientific disciplines —in the shared pursuit of science. Adam’s research into antiviral medicines has the potential to change the impact and scale of how people can benefit from such important life-saving treatments. His research gives me great hope for the future of global health and scientific innovation.”

Now in its landmark 75th year, Regeneron ISEF remains the premier global stage for the next generation of scientists and engineers. This milestone year celebrates decades of scientific discovery, boundary-pushing innovation and international collaboration, uniting students from around the world in a powerful exchange of ideas. Through Regeneron ISEF and other STEM programming, Regeneron and the Society are fostering the next generation of STEM leaders who are pioneering solutions to improve our world. Since 2020, Regeneron has provided STEM experiences to over 3.2 million students, surpassing its goal of 2.5 million by 2025.

“Congratulations to this year’s extraordinary Regeneron ISEF finalists and winners,” said George D. Yancopoulos, M.D., Ph.D., co-Founder, Board co-Chair, President and Chief Scientific Officer of Regeneron. “My own high school science project lit a fire in me that changed the course of my life. Today, I see these students carrying that same spark forward by asking bold questions, pushing boundaries and proving that innovative science can take on humanity’s biggest challenges.”

Other top honors from the competition include:

XinYan Chen, 17, of San Gabriel, California, received the $10,000 Craig R. Barrett Award for Innovation for her mobile indoor formaldehyde detector. Formaldehyde is a chemical found in many household goods that can cause disease, including cancer. Other detectors work by either trapping chemicals until they are full, or by breaking them down with expensive materials. XinYan designed a low-cost material that breaks down formaldehyde into carbon dioxide and water. She used the material to build a device that measures and destroys the poison at the same time. Her device lowered the amount of formaldehyde in a closed box by almost 90% in 18 hours. XinYan’s device makes it cheaper and easier to both measure and improve indoor air quality.

Aleksandra Petkova, 18, of Sofia, Bulgaria, received the $10,000 H. Robert Horvitz Prize for Fundamental Research for her research on the relationship between a boat’s speed and the shape of its wake. When a boat travels faster than the waves it makes in the water, it makes a narrower wake. This type of wake creates more drag on the boat, which slows it down. Aleksandra looked at aerial photos of wakes and tested wake angles using a remote-controlled boat and a yacht. She figured out how to use a ship’s size to predict the speed it can travel before it starts leaving a narrow wake. Aleksandra’s ship wake model could help ship operators minimize drag by traveling at the ideal speeds for their ships.

Cory Seelenfreund, 17, of New Rochelle, New York, received the $10,000 Peggy Scripps Award for Science Communication for his study of the relevance of memory in the Prisoner’s Dilemma. Prisoner’s Dilemma is a classic game theory problem where two people accused of a crime decide whether to snitch or stay silent. Cory created computer simulations and mathematical models to test how selfishness and memory affect the game. Memory of just one game often improved results, but players with better memory won in more complex scenarios. He found the best outcomes when players had a variety of self-interested and altruistic behaviors. These findings can help design smarter AI bots and other programs that need to “get along” with humans.

Uma Sthanu, 17, of Austin, Texas, received the $10,000 Mary Sue Coleman Award for Life Science Innovation & Impact for her research on regenerating nerve cells. The neurons making up the human brain are powerful but fragile. Disease and injury can damage neurons and scientists have not yet found a way to regrow them. Uma studied the effects of an important hormone-like compound called PGE2 on damaged brain cells. She used advanced techniques to study how PGE2 treatment affects these broken neurons in the lab. She hopes this work will help researchers find better treatments for brain diseases and traumatic brain injuries.

Pragathi Kasani-Akula, 17, of Cumming, Georgia; Aarushi Pandey, 17, of Conroe, Texas; and Vrishank Chandrasekhar, 18, of San Jose, California, received the Dudley R. Herschbach SIYSS Award, which provides finalists an all-expense paid trip to attend the Stockholm International Youth Science Seminar during Nobel Week in Stockholm, Sweden.

Ethan Yan, 15, of Burlingame, California, and Abigail Qi, 16, of Baton Rouge, Louisiana, received the EU Contest for Young Scientists Award. Their projects will represent Regeneron ISEF at the EU Contest for Young Scientists to be held this September in Riga, Latvia.

For more information about the top winners and access to visual assets visit our media kit: https://www.societyforscience.org/regeneron-isef-2025-media-kit/ 

The full list of Special Award ISEF 2025 Finalists can be found at: https://www.societyforscience.org/press-release/regeneron-isef-2025-special-awards-winners

In addition to the Top Award winners, more than 450 finalists received awards and prizes for their innovative research, including “First Award” winners, who each received a $6,000 prize.

The following lists the First Award winners for each of the 22 categories, from which the Top Awards were chosen:

Animal Sciences, sponsored by Society for Science

Matthew Lo, 16, of Berwyn, Pennsylvania

Behavioral and Social Sciences, sponsored by Society for Science

Ameya Kharade, 16, of Nashua, New HampshireJesse Rumball-Smith, 17, of Wellington, New Zealand

Biochemistry, sponsored by Regeneron

Pragathi Kasani-Akula, 17, of Cumming, Georgia 

Biomedical and Health Sciences, sponsored by Regeneron

Edward Kang, 17, of Upper Saddle River, New JerseyUma Sthanu, 17, of Austin, Texas 

Biomedical Engineering, sponsored by Regeneron

Chanyoung Kim, 16, of Flower Mound, TexasEeshaan Prashanth, 17, of Flower Mound, TexasSamuel Skotnikov, 17, of Highland Village, Texas

Cellular and Molecular Biology, sponsored by Regeneron

Lilly Horowitz, 17, of Jericho, New York

Chemistry, sponsored by Arc Institute

Adam Kovalčík, 19, of Dulovce, Slovakia

Computational Biology and Bioinformatics, sponsored by Regeneron

Arnav Sharma, 15, of Troy, MichiganSamarth Dunakhe, 15, of Chandler, ArizonaAryav Das, 16, of Noblesville, IndianaQianheng Xu, 16, of Millburn, New Jersey

Earth and Environmental Sciences, sponsored by Society for Science

Lakshmi Agrawal, 17, of Bellevue, WashingtonMiriam Haddad, 18, of Saginaw, Michigan

Embedded Systems, sponsored by HP

Maya Trutschl, 17, of Shreveport, Louisiana

Energy: Sustainable Materials and Design, sponsored by Siemens Energy

Oliver Wang, 17, of Falls Church, Virginia

Engineering Technology: Statics and Dynamics, sponsored by Howmet Aerospace Foundation

Benjamin Davis, 16, of Wrentham, Massachusetts

Environmental Engineering, sponsored by Jacobs

Bennett Huang, 16, of Great Falls, VirginiaJason Pan, 16, of Great Falls, VirginiaXinYan Chen, 17, of San Gabriel, California

Materials Science, sponsored by Howmet Aerospace Foundation

Siyaa Poddar, 16, of Chandler, Arizona

Mathematics, sponsored by Akamai Foundation

Cory Seelenfreund, 17, of New Rochelle, New York

Microbiology, sponsored by Schattner Foundation

Abigail Qi, 16, of Baton Rouge, Louisiana

Physics and Astronomy, sponsored by Jane Street

Aiden Kwon, 17, of Rolling Hills Estates, California             Aleksandra Petkova, 18, of Sofia, Bulgaria 

Plant Sciences, sponsored by Society for Science

Aarushi Pandey, 17, of Conroe, Texas

Robotics and Intelligent Machines, sponsored by Liquid AI

Chinmayi Goyal, 17, of Yorktown, New YorkTimothy Wilson, 18, of Pennant Hills, Australia

Systems Software, sponsored by Microsoft

Ram Sivaraman, 17, of Acton, Massachusetts

Technology Enhances the Arts, sponsored by Midjourney

Punnawit Ponnirun, 17, of Chiang Mai, ThailandSataporn Thanapanyakul, 17, of Chiang Mai, ThailandSiwakorn Suwannahong, 17, of Chiang Mai, Thailand

Translational Medical Science, sponsored by Regeneron

Audrey Zheng, 16, of Wexford, PennsylvaniaVrishank Chandrasekhar, 18, of San Jose, California

The full list of all award-winning ISEF 2025 finalists is available here.

View all the finalists’ research here.

About the Regeneron International Science and Engineering Fair

The Regeneron International Science and Engineering Fair (Regeneron ISEF), a program of Society for Science celebrating 75 years, is the world’s largest global science competition for high school students. Through a global network of local, regional and national science fairs, millions of students are encouraged to explore their passion for scientific inquiry. Each spring, a group of these students is selected as finalists and offered the opportunity to compete for approximately U.S. $9 million in awards and scholarships.

In 2019, Regeneron became the title sponsor of ISEF to help reward and celebrate the best and brightest young minds globally and encourage them to pursue careers in STEM to positively impact the world. Regeneron ISEF is supported by a community of additional sponsors, Adam R. Scripps Foundation, Akamai Foundation, Aramco, Arc Institute, Gordon and Betty Moore Foundation, Howmet Aerospace Foundation, HP, Insaco, Intel, Jacobs, Jane Street, Liquid AI, Microsoft, Midjourney, Schattner Foundation, Siemens Energy, The Ohio State University, Battelle, Caltech, Cesco, Cisco, COSI, GoFundMe, Jeni’s Splendid Ice Creams, JobsOhio, Johnson Energy Holdings.   Many are entrepreneurs across a wide range of industries. Learn more at https://www.societyforscience.org/isef/.

About Society for Science 

Society for Science is a champion for science, dedicated to promoting the understanding and appreciation of science and the vital role it plays in human advancement. Established in 1921, Society for Science is best known for its award-winning journalism through Science News and Science News Explores, its world-class science research competitions for students, including the Regeneron Science Talent Search, the Regeneron International Science and Engineering Fair and the Thermo Fisher Scientific Junior Innovators Challenge, and its STEM Outreach programming that seeks to ensure that all students have an opportunity to pursue a career in STEM. A 501(c)(3) membership organization, Society for Science is committed to inform, educate and inspire. Learn more at www.societyforscience.org and follow us on Facebook, Twitter, Instagram and Snapchat (Society4Science).

About Regeneron 

Regeneron (NASDAQ: REGN) is a leading biotechnology company that invents, develops and commercializes life-transforming medicines for people with serious diseases. Founded and led by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to numerous approved treatments and product candidates in development, most of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye diseases, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, hematologic conditions, infectious diseases and rare diseases.

Regeneron believes that operating as a good corporate citizen is crucial to delivering on our mission. We approach corporate responsibility with three goals in mind: to improve the lives of people with serious disease, to foster a culture of integrity and excellence and to build sustainable communities. Regeneron is proud to be included on the Dow Jones Sustainability World Index and the Civic 50 list of the most “community-minded” companies in the U.S. Throughout the year, Regeneron empowers and supports employees to give back through our volunteering, pro-bono and matching gift programs. Our most significant philanthropic commitments are in the area of science education, including the Regeneron Science Talent Search and the Regeneron International Science and Engineering Fair (ISEF)

For more information, please visit www.Regeneron.com or follow Regeneron on LinkedIn, Instagram, Facebook or X

Media Contacts
Joseph Brown, Regeneron
386-283-1323, joseph.brown2@regeneron.com    

Gayle Kansagor, Society for Science
703-489-1131, gkansagor@societyforscience.org   

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SOURCE Society for Science

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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