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More than $8 million awarded to INRS, a leader in quantum research

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Funding from Canada’s National Quantum Strategy will lead to advances in telecommunications, cybersecurity and biomedicine  

VARENNES, QC, Jan. 21, 2025 /CNW/ – A total of eight teams at Institut national de la recherche scientifique (INRS) working in the field of quantum research have just received funding for a total of $8.2 million from the Government of Canada. This is significant news for 2025, which has been declared by the United Nations as the International Year of Quantum Science and Technology.  

The announcement was made today at the INRS Centre Energie Matériaux Télécommunications Research Centre in Varennes by Sherry Romanado, Parliamentary Secretary to the President of the King’s Privy Council for Canada and Minister of Emergency Preparedness, on behalf of the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry. The MP for Longueuil-Charles-LeMoyne was accompanied by the President of the Natural Sciences and Engineering Research Council of Canada (NSERC), Alejandro Adem.  

As part of the National Quantum Strategy, NSERC’s Alliance grants strengthen and support quantum research in Canada by funding partnerships between universities and public and private organizations.   

“This major funding that the Government of Canada has awarded to our teams is a testament to the quality of the research that we are doing and the infrastructure that we are using to develop quantum technologies. The investment strengthens our leadership position in a field that is highly strategic for Québec and Canada and will let us continue to advance the frontiers of science and innovation in the service of society,” states Luc-Alain Giraldeau, Chief Executive Officer, INRS  

“One of the areas of expertise for which the Centre Énergie Matériaux Télécommunications is renowned is the future of quantum communication systems. We have some of the world’s leading experts in this field, including Professor Roberto Morandotti, who have access to high-calibre facilities,” adds François Légaré, Director of Centre Energie Matériaux Télécommunications, INRS  

Improving cybersecurity and biomedicine  

Professor Roberto Morandotti, nonlinear optics specialist at INRS and holder of the Canada Research Chair in Smart Photonics is spearheading a research consortium entitled “Advanced QUAntum applications via complex states in integrated and meta optics (AQUA)”, which received close to $5 million over five years (Alliance Consortia Quantum grants). The concrete aims of the AQUA project are intended to position Canada as a leading source of ultra-secure information systems and biomedical instruments with improved diagnostic capabilities. 

Co-directed by INRS professors Sharif Sadaf, José Azaña, Luca Razzari and Bienvenu Ndagano, this major project pools the expertise of McGill University, the University of Toronto, the University of Alberta, Université de Sherbrooke, and Swinburne University of Technology, in addition to the following industrial partners: CMC Microsystems, COMBS, Enablence, few-cycle Inc., Ki3 Photonics Technologies, OptoElectronic Components, Pasqal, SpectraCann, and Xanadu Quantum Technologies

The Internet of the future will be quantum   

Professor Sharif Sadaf, nanophotonics specialist and holder of the Canada Research Chair in III-nitride Compound Semiconductor Nanostructures and Devices is leading the “Scalable solid-state semiconductor platform for on-chip quantum communication” project (Alliance Quantum grant, $1,170,000 over four years). 

The team, which includes collaborators from McGill University and Polytechnique Montréal, as well as industrial partners Xanadu, CMC Microsystems, OptoElectronic Components and Numana, aims to develop a cutting-edge semiconductor platform for generating and manipulating quantum photon states. This will enable the creation of future technologies for electronics and optoelectronics, including computer hardware, and the development of next-generation on-chip quantum communication linked to the Internet of the future.  

Professors Roberto Morandotti and José Azaña are collaborating on the “High-dimensional photonic systems for quantum information processing” project to demonstrate the feasibility of the quantum Internet (Alliance Quantum grant, $1,275,000 for 4 years). The team aims to develop and commercialize a scalable photonic quantum processor based on complex photonic states. They also want to implement high-dimensional quantum computation operations and algorithms and build a testbed for secure quantum communication in fiber-optic links.   

The group’s work, supported by a complementary grant from PRIMA Québec, also involves industrial partners Ki3 Photonics Technologies and OptoElectronic Components.

“This will help establish an outstanding, versatile workforce that will position INRS, Québec, and Canada at the forefront of world leaders for advances in these fields, which are incredibly strategic for the future. We are very enthusiastic about working on these promising projects,” says Professor Roberto Morandotti, specialist in nonlinear optics at INRS 

New international collaborations and promising initiatives  

Professor Morandotti and his collaborator Sara Ducci (Université Paris-Cité) with the “Canada-France QUANTUM: Enabling QUantum Information Processing through complex Photon States (EQUIPPS) project” (NSERC-French Agence nationale de la recherche (ANR) on quantum technologies Grant, $300,000 over three years).   

Professor Ndagano and his collaborator Hugo Defienne (Institut des NanoSciences de Paris, Sorbonne Université) with the “Canada-France QUANTUM: Phase-sensitive Hong-Ou-Mandel Microscopy” project (NSERC-French Agence nationale de la recherche (ANR) on quantum technologies Grant, $300,000 over three years).  

 Professor Fabio Boschini with the “Control of Kondo coherent states using selective optical excitation project (Alliance International Catalyst Quantum grants, $25,000 over 1 year). Professor Boschini is also holder of the Canada Research Chair in Quantum Materials’ Dynamics.

Professor Emanuele Orgiu with the “Hybrid Molecule/Quantum Material van der Waals heterostructures” project (Alliance International Catalyst Quantum grants, $25,000 over 1 year).

Professor Sadaf, with the “Deterministic and scalable InGaN/GaN quantum emitters at room temperature” project (Alliance International Catalyst Quantum grants, $25,000 over 1 year).

About INRS

INRS is an academic institution dedicated exclusively to graduate research and training in strategic sectors in Quebec. For the past 55 years, it has actively contributed to Quebec’s economic, social, and cultural development. INRS is first in Canada in research intensity. It is made up of four interdisciplinary research and training centres located in Quebec City, Montreal, Laval, and Varennes, which focus their efforts on strategic sectors: water, earth, and environment (Eau Terre Environnement Research Centre); energy, materials, and telecommunications (Énergie Matériaux Télécommunications Research Centre); urbanization, culture, and society (Urbanisation Culture Société Research Centre); and health and biotechnology (Armand-Frappier Santé Biotechnologie Research Centre). The INRS community includes over 1,500 students, postdoctoral fellows, and faculty and staff members. 

SOURCE Institut National de la recherche scientifique (INRS)

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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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