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USNDA Forms Inter-Service U.S. Military Competitive Drone Teams, U.S. Marines First to Fight in International Military Drone Crucible Championship on Independence Day Week

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WASHINGTON, Jan. 21, 2025 /PRNewswire/ — Today, the USNDA announced its sponsorship of the first interservice, international U.S. Military Drone Crucible Championship (MDCC), to measure, incentivize and rapidly integrate small drone skills and capabilities across the armed services.  The MDCC will develop camaraderie across services and allied partners, and exchange lessons learned from the rapidly growing field of emerging drone technology to hone the skills of operational forces.

The U.S. Marines are the first service to launch an official U.S. Military Competitive Drone Team, co-led by Training Command and the Marine Corps Warfighting Laboratory, as part of a joint initiative to challenge and enhance the skills of warfighters through interservice competition within the operating forces and neighboring services.

“Just as early aviation races advanced our understanding of manned flight, drone racing will accelerate the integration and advancement of drones across all aspects of Marine Corps warfighting. As we incorporate FPV and small drone capabilities, we remain committed to demonstrating the highest standards of professional excellence in the Military Drone Crucible Championship. The technical expertise of the Marine Corps Warfighting Lab, combined with the competitive experience of the Marine Corps Shooting Team, in establishing the Marine Corps Attack Drone Team for the championship is just another step in ensuring that our Corps remains more ready than ever to meet current and future challenges,” said Major General Anthony Henderson, Commanding General, Training Command, and Brigadier General Simon Doran, Commanding General, Marine Corps Warfighting Laboratory, in a joint statement.

Other participating DoD organizations include the Air Force Research Laboratory, Office of Naval Research, and U.S. Army Combat Capabilities Development Command.

“As we contend with the challenges and opportunities presented by UAS proliferation, the Joint Force is seeking the collective ingenuity of our Services, Allies and partners, and industry stakeholders. The rapid innovation and iteration of critical UAS and C-UAS technologies strengthens the posture of the Joint Force for the wars of tomorrow,” said Lieutenant General Dagvin RM Anderson, Director of Joint Force Development, Joint Staff, Pentagon.

“Running concurrently with the MDCC, the DroneWERX Supply Web Challenge will allow drone industry supply chain innovators to integrate the latest technology into the competition teams inventories,” said the USNDA DroneWERX Director Marcus Rossi. “Counter Drone companies and prototypes are also encouraged to demonstrate in the Match 3 Drone Crucible. As an output of the overall competition the USNDA DroneWERX Report will provide the DoD with an analysis on drone supply chain resilience and vulnerabilities.”

“The Nation is hungry for earnest transparency on the state of both drone and counter drone capabilities,” said the Nathan Ecelbarger, Board Chairman on behalf of USNDA’s Directors and Advisors. “The Match 3 Drone Crucible is designed intentionally as a double-blind experiment to allow the data speak for itself. We look forward to meaningful discussion on the implications of the event with the Trump Administration, and Secretaries of Defense, Homeland Security, and Transportation to help ensure that our nation remains at the edge of these critical emerging technologies. Also… #GoNavyBeatArmy.”

The MDCC will be open to selected academic and civilian teams, showcasing drone technologies emerging from industry partners and classrooms across the nation. Regionally supported by the Central Florida consortia of universities and colleges, both Full Sail University and University of Central Florida will award full scholarships to winners of the U.S. Drone Competition for prototype innovation. Central Florida is home to over 100,000 college students and 400,000 high school students, in addition to being the modeling and simulation capital of the Nation.

“With the USNDA’s national headquarters based on the campus of Full Sail University, alongside the talent, growth, and innovation within our dynamic emerging technologies focused educational offerings, we look forward to collaborating with our neighboring higher education institutions to welcome the U.S. Military Drone Crucible Championship (MDCC) to our campus, region, and state,” said Full Sail University President, Garry Jones.

University of Central Florida President Alex Cartwright further stated, “We are pleased to support this event and highlight the innovation ecosystem within the State of Florida to help grow the talent and technology that will contribute to the United States’ defense and civilian sectors.”

The scholarships are part of a larger prize pool that also include opportunities for U.S. Government Small Business Innovation Research (SBIR) awards, federal internships, and cash prizes awarded by the USNDA for Championship and Competitive Category winners.

The MDCC will consist of three back to back matches over the July 4th holiday weekend in Orlando, Florida, each increasing in difficulty and culminating in the Drone Crucible Championship event. The matches will test not only the speed and dexterity of Drone Pilots, but will also challenge problem solving and navigation skills through unknown obstacles, and task and technology-based skills navigating courses against unknown counter-drone measures provided by the defense and national security industry.

Match 1 will be held at professional sports venue, open to the public. Match 2 will be held on the campus of Full Sail University Campus. The Match 3 Drone Crucible held at an undisclosed military location in Central Florida.

In addition to U.S. services, a challenge has been extended to a consortia of European and Allied Nation drone operators. “It will be regrettable to deliver a victory for Britain on American soil on such a noteworthy American holiday. However, challenge accepted,” said Lieutenant Colonel Karl Eze, Chair of the British Army Drone Association, and Staff Officer for the British Army Drone Capability Development.

Highschool, College, Industry, International and U.S. Military applicants are encouraged to join the waiting list at www.usnda.org for additional details and MDCC rules to be released in February 2025.

About the USNDA:
The United States National Drone Association is not for profit, bipartisan, practitioner led Think Tank dedicated to rapidly and responsively advancing small drone and counter drone technology and capability primarily for National Defense, Security and Public Safety through increasing transparency and cooperation between academic industry, government and allied partners to primary events; U.S. National Drone Conference, The Annual Military Drone Championship “Drone Crucible”.

Press and media inquiries can be sent to press@usnda.org

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SOURCE United States National Drone Association

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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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