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Kahoot! announces a new collaboration with Hello Kitty and other Sanrio characters to provide free educational learning games that support the development of future-ready skills among children and lifelong learners

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OSLO, Norway, Feb. 12, 2025 /PRNewswire/ — Kahoot!, the global learning and engagement platform, is thrilled to announce an exciting new collaboration with the globally loved Sanrio characters, including Hello Kitty, My Melody, Kerokerokeroppi, Mr. Men Little Miss and many more. This collaboration introduces a collection of educational learning games designed for children and families.

The new collection of games will be available for free on Kahoot’s platform on the Hello Kitty and Friends channel and mobile apps for iOS and Android, empowering teachers and parents to inspire learning through play with their students and children. Created to foster skills like communication, collaboration, and cultural awareness, these educational games bring the charm of Sanrio’s iconic characters into classrooms and homes, making learning engaging and memorable for learners and fans of all ages.

“We are excited to launch a brand new collection of kahoots in collaboration with all Sanrio characters, and it is a privilege for us at Kahoot! to welcome Hello Kitty and her friends to our platform,” said Eilert Hanoa, CEO of Kahoot! “Our mission is to make learning awesome for everyone through engaging and entertaining learning experiences, and this collaboration brings us one step closer to fulfilling that promise for our users of all ages worldwide.”

Bringing Sanrio’s characters into Kahoot! represents a significant opportunity for teachers worldwide to create more engaging and interactive lessons, whereas parents and adult learners can embrace the nostalgia of the characters they love while exploring various topics with their kids.

Boosting the adoption of digital learning solutions across Japanese schools, universities, and enterprises to deliver meaningful learning experiences for all

Kahoot!’s growth has been sustained and strong in Japan over the past years. In the last year, over 60 million participants (non-unique) took part in close to 10 million learning sessions in Japan. This represents growth of over 70% year-on-year.

“Kahoot!’s popularity in Japan is rising, and we are experiencing a high demand for solutions among students and teachers. Student-led sessions have doubled in the past year, indicating increased usage of our platform for learning,” said Brent Mori, VP at Kahoot! in Japan. “We look forward to collaborating with schools and universities during Phase 2 of the GIGA School initiative to enhance digital learning and believe Kahoot! can boost education technology through game-based experiences.”

Japanese enterprises and businesses also demand immersive and game-based solutions that can be introduced into their workplaces to improve their organizations. Today, more Japanese businesses use Kahoot! to improve their onboarding processes of new employees, support the learning and development of their workforce (L&D), and make presentations and events at work more engaging while delivering fun and meaningful learning experiences.

“In the last year, Kahoot! experienced a 70% increase in unique users hosting a learning session under a Kahoot! enterprise account. This figure is a testament to why more businesses are turning to Kahoot! to ensure that learning truly sticks with their employees at all levels,” said Mori.

Building on Kahoot! ‘s strong growth and demand across schools and enterprises in Japan, the company is also announcing Brent Mori’s appointment as Vice President (VP). Mori’s appointment represents a new opportunity for the company to collaborate closely with Japanese customers, including large enterprise organizations, school administrations, universities, and local partners.

Kahoot! is committed to transforming the Japanese educational and learning landscape. It will do this by introducing new technology, such as AI, offering free premium access and trusted content on the platform, and adapting to the local initiatives driving digital learning transformation in the country.

For more information about Kahoot!, please visit www.kahoot.com

Media contact:
Alejandro Viquez, Senior Communications Manager at Kahoot!
alejandror@kahoot.com

About Sanrio:
Sanrio is the global lifestyle brand best known for Hello Kitty who was created in 1974, and home to many other beloved character brands such as My Melody, Kuromi, LittleTwinStars, Cinnamoroll, Pompompurin, gudetama, Aggretsuko, Chococat, Bad Badtz-Maru and Kerokerokeroppi. Sanrio was founded on the philosophy that a small gift can bring happiness and friendship to people of all ages. Since 1960, this philosophy has served as the inspiration to offer quality products, services and activities that promote communication and inspire unique consumer experiences across the world. Today, Sanrio’s business extends into the entertainment industry with several content series, gaming offerings and theme parks. Sanrio boasts an extensive product lineup which is available in over 130 countries. Sanrio hopes to bring smiles to everyone’s faces with their vision of “One World, Connecting Smiles.” To learn more about Sanrio, please visit https://www.sanrio.eu and follow on YouTube, TikTok, Instagram, Facebook, and X.

About Mr. Men Little Miss:
With a cast of over 90 characters the Mr. Men Little Miss properties have brought fun and laughter to generations of families for over 50 years and have sold over 250 million books. Founded by the late Roger Hargreaves the series was created in 1971 starting with Mr. Tickle. When Roger Hargreaves died in 1988, aged 53, his son, Adam Hargreaves continued the business writing and drawing the books. Mr. Men Little Miss is the number one selling children’s book in France and the number two selling Pre-School brand in the UK.  Mr. Men Little Miss books are published in 17 languages worldwide and distributed in more than 28 countries.

About Kahoot!:
Kahoot! is on a mission to make learning awesome! We want to empower everyone, including children, students, and employees to unlock their full learning potential. Our learning platform makes it easy for any individual or corporation to create, share, and host learning sessions that drive compelling engagement. Launched in 2013, Kahoot!’s vision is to build the leading learning platform in the world. Since launch, Kahoot! has hosted hundreds of millions of learning sessions with over 11 billion participants (non-unique) in more than 200 countries and regions. The Kahoot! Group includes Clever, the leading US K-12 EdTech learning platform, together with the learning apps DragonBox, Poio, Drops, Actimo, Motimate, and Whiteboard.fi. The Kahoot! Group is headquartered in Oslo, Norway with offices in the US, the UK, France, Finland, Estonia, Japan, Singapore, Denmark, Spain and Poland. To learn more, visit us at kahoot.com. Let’s play!

 

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SOURCE Kahoot!

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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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