Connect with us

Technology

teamLab Phenomena Abu Dhabi opens its doors to the public in Saadiyat Cultural District

Published

on

The innovative multi-sensory art experience redefines the boundaries of immersive artPurpose-built 17,000 sqm venue features transformative artworks unique to Abu DhabiOpening music composed and performed by renowned Italian pianist Ludovico EinauditeamLab Phenomena Abu Dhabi takes guests on a sensory-rich journey that transcends the ordinary and ignites curiosity for all

ABU DHABI, UAE, April 18, 2025 /PRNewswire/ — teamLab Phenomena Abu Dhabi officially opened its transformative multi-sensory art experience within Saadiyat Cultural District, an enriching addition to Abu Dhabi’s dynamic cultural and artistic landscape.

To view the Multimedia News Release, please click:   https://www.multivu.com/teamlab_phenomena/9331451-en-gb-teamlab-phenomena-abu-dhabi-opens-saadiyat-cultural-district

On 17 April, the grand opening celebration welcomed distinguished guests and cultural leaders, featuring a specially composed performance by renowned Italian pianist and composer Ludovico Einaudi. Set against the venue’s unique architecture, the score was paired with a dramatic display of 6,000 synchronised drones and pyrotechnics, curated to celebrate the new milestone for Saadiyat Cultural District, and reflect the connection between art, technology and imagination.

H.E. Mohamed Khalifa Al Mubarak, Chairman of the Department of Culture and Tourism – Abu Dhabi, said: “teamLab Phenomena Abu Dhabi is a groundbreaking cultural landmark that redefines immersive art experiences on a global scale. It embodies a bold vision that pushes the boundaries of creativity, technology, and human perception, offering visitors an experience unlike any other. Together with our partner, teamLab, we take great pride in bringing this pioneering concept to life, reinforcing our commitment to shaping world-class experiences that inspire, engage, and contribute to Abu Dhabi’s cultural legacy. Saadiyat Cultural District is a cultural landmark of global significance, bringing together the world’s greatest minds and institutions to foster dialogue, inspire creativity, and shape a more connected future.”

Following the opening ceremony, guests were immersed within newly unveiled teamLab Phenomena Abu Dhabi exhibits, meandering between its inspiring artistic installations, interacting with the dynamic artworks, and experiencing the connection between art, technology and natural phenomena.

Toshiyuki Inoko, Founder of teamLab, said: “The artworks in teamLab Phenomena do not exist independently but are created by the environment which produces the various phenomena that creates the artworks. Objects such as stones and man-made creations maintain a stable structure independently. A stone, for instance, will remain unchanged even if placed in a sealed box, isolated from the outside world. In contrast, a vortex in the ocean will vanish in an instant if removed from its environment. Unlike a stone, a vortex does not sustain itself; it evolves with the surrounding currents, formed by water flowing continuously from the outside to the inside and from the inside to the outside of the vortex, changing along with the flow. Moreover, the boundaries of its existence are ambiguous, and there is no material distinction between the vortex and its surroundings.

“The unique environment produces the phenomena, and the environment maintains the existence of the structure. Let us call that existence Environmental Phenomena. The artwork is inseparable from the environment and changes along with the environment. This concept transcends the various conventional notions of existence by physical forms. Even if people immerse themselves physically into the artwork, the artwork will remain intact, capable of naturally restoring itself even if disrupted. However, when the environment is not sustained, the artwork will disappear. The boundaries of the artwork are ambiguous and continuous with the environment. Perhaps, people’s consciousness will expand from the artwork itself to the environment beyond.”

Spanning 17,000 square metres, teamLab Phenomena Abu Dhabi has been developed by the internationally acclaimed art collective teamLab, in collaboration with the Department of Culture and Tourism – Abu Dhabi (DCT Abu Dhabi). The multi-sensory art experience reflects the emirate’s unwavering commitment to fostering creativity and cultural innovation on a global scale, and it presents massive transformative artworks that each blend art, science and technology in groundbreaking ways.

teamLab Phenomena Abu Dhabi is designed to explore and transcend the limits of every guest’s imagination. Each artwork within the unique, purpose-built venue will evolve over time through the interplay of light, sound and movement. Unlike artworks at traditional galleries, visitors will discover exhibits that are fluid, existing in a dynamic relationship with their environment. Each artwork responds to guests’ actions and natural changes in the environment, creating a living, breathing art experience, unlike any other.

Comprising two distinct Wet and Dry areas, guests will be immersed in a series of mesmerising visuals, vibrant landscapes and interactive installations that dissolve the boundaries between art and audience. Every moment offers a new philosophical experience, ensuring that each visitor experience is unique.

In the Dry area, visitors will encounter a variety of artworks that encourage interaction, responding to their movements and actions to create a unique connection between guests and the installations. As they move into the Wet area, guests will follow a dedicated walkway leading them into an exciting realm filled with fluid, hands-on experiences that further deepen their connection with the art.

teamLab Phenomena Abu Dhabi is a key addition to Saadiyat Cultural District, which upon completion will be the largest concentration of world-leading cultural and educational institutions. The District is home to an unparalleled lineup of museums and cultural landmarks, including Louvre Abu Dhabi; the upcoming Zayed National Museum, the national museum of the UAE; Guggenheim Abu Dhabi, featuring a global collection of modern and contemporary art that reflects the diversity of cultures and trends from around the world; and Natural History Museum Abu Dhabi, telling the story of life on earth and the origins of our universe.

The addition of teamLab Phenomena reinforces Abu Dhabi’s position as a global cultural epicentre, offering visitors a unique and transformative experience while showcasing its commitment to creativity, innovation and cultural collaboration on a global scale.

For more information and to purchase tickets: www.teamlababudhabi.com 

Video – https://mma.prnewswire.com/media/2668416/teamLab_Phenomena.mp4
Photo – https://mma.prnewswire.com/media/2668410/teamLab_Phenomena_1.jpg
Logo – https://mma.prnewswire.com/media/2668409/teamLab_Phenomena_Logo.jpg

 

 

 

 

View original content:https://www.prnewswire.co.uk/news-releases/teamlab-phenomena-abu-dhabi-opens-its-doors-to-the-public-in-saadiyat-cultural-district-302432635.html

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

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

Published

on

By

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

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

on

By

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

Continue Reading

Technology

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

Published

on

By

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

Continue Reading

Trending