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Logitech Launches MeetUp 2, the AI-Driven, Sustainably-Designed Next Generation of Bestselling Video Bar for Huddle Rooms

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New bar brings intelligent AV, recycled plastics, and easy deployment to USB-based conference rooms

SINGAPORE, Aug. 13, 2024 /PRNewswire/ — Logitech has announced MeetUp 2, an AI-powered USB conference camera designed for bring-your-own device (BYOD) and PC-based setups in huddle and small meeting rooms. This next-generation camera is the modern evolution of the iconic Logitech MeetUp, the bestselling conference camera in Logitech history that has sold more than one million units.

“Instantly recognisable, MeetUp took video from the boardroom to the huddle space, making video collaboration achievable and affordable for everyone,” said Alistair Johnston, Head of Collaboration at Futuresource Consulting. Now, MeetUp 2 is poised to disrupt the market once again as the need for huddle room tech increases in companies embracing hybrid work models.

With the rise in huddle rooms comes the need for video conferencing tech that fits multiple scenarios, including those who prefer dedicated PC-based deployment or using their laptop in a BYOD setup. And because Logitech has been using AI-enhanced features in conference room devices for years to create experiences that focus on the human and deepen engagement among meeting colleagues (with no manual control needed), MeetUp 2 is now designed with those intelligent features.

“The quality of collaboration is becoming an increasingly critical consideration, given its impact on productivity and efficiency. Logitech MeetUp 2 elevates the discussions held in meeting and huddle rooms by harnessing the capabilities of AI through its RightSight 2 feature, which generates dynamic views that seamlessly integrate remote participants into virtual meetings,” said Sharon Seah, Country B2B Head at Logitech Southeast Asia. “Moreover, IT teams can remotely monitor and update MeetUp2 devices to continually enhance their capabilities.”

Intelligent Meeting Experiences

AI-driven video features of RightSight 2 create equitable experiences for remote participants by using intelligence to automatically focus and frame in-room participants – whether focusing on the active speaker, the group of participants, or each individual participant. For advanced audio clarity, RightSound 2 uses AI-based algorithms that balance voices and filter out unwanted noise, while reducing reverberation in rooms with echoes. MeetUp 2 works with popular video conferencing platforms people use every day such as Microsoft Teams, Zoom, and Google Meet, enabling MeetUp 2 users to enjoy features like Zoom Rooms Smart Gallery, which creates individual feeds of in-room participants; and Microsoft Intelliframe, which automatically places participants in frames to make everyone equally visible.

Designed for Sustainability

Buyers of IT equipment are increasingly responsible for purchasing technology with a lower environmental impact. MeetUp 2 was developed using Design for Sustainability (DfS) principles, a framework that guides product teams toward lower-impact, more circular design solutions.

“We’re helping our enterprise customers better manage their carbon footprint,” said Prakash Arunkundrum, Chief Operating Officer at Logitech. “MeetUp 2 is the latest in our video conferencing portfolio to demonstrate our deep commitment to reducing environmental impact.”

MeetUp 2 replaces virgin plastic parts with post-consumer recycled plastic, lowering its carbon footprint and giving a second life to end-of-use plastic from old consumer electronics. The plastic parts in MeetUp 2 contain 62% recycled plastic, the highest percentage of similar products in the market today. By choosing recycled plastic vs virgin plastic, MeetUp 2’s design saves 15.5 tCO2e saving per 10,000 units*, allowing IT tech buyers to lower their company’s Scope 3 indirect emissions.

To encourage other brands to adopt DfS, Logitech openly shares its knowledge about how to integrate Next Life recycled plastic into their manufacturing process. Meetup 2 is also packaged in paper sourced from FSC™-certified forests and other controlled sources.

Better BYOD Experience

MeetUp 2, designed for up to six people in a small room, offers the flexibility of deploying in USB mode with an in-room computer device or in BYOD mode connected to a laptop.

In BYOD setups, users simply connect their laptops or mobile devices to the MeetUp 2 with the optional Logitech Active USB Cable to run video meetings from their platform of choice, while IT admins can monitor room status, deploy updates, and modify settings over ethernet or WiFi through Logitech Sync. When MeetUp 2 is not in a meeting, the display in the room can be used for digital signage, allowing custom content such as company logos or space usage instructions, through Logitech Sync and AppSpace.

Pricing and Availability

MeetUp 2 joins Logitech’s lineup of conference cameras built for all people in all spaces, ranging from ideation spaces to large conference rooms. The MSRP for MeetUp 2 is SGD 1,500 and is available globally through authorised distributors and on the Logitech website. In-country product availabilities for MeetUp 2 in Southeast Asia are as follows:

Currently available in Singapore, Malaysia, Thailand, and VietnamAvailable in the Philippines and Indonesia starting the first week of September

About Logitech

Logitech designs software-enabled hardware solutions that help businesses thrive and bring people together when working, creating, gaming and streaming. As the point of connection between people and the digital world, our mission is to extend human potential in work and play, in a way that is good for people and the planet. Founded in 1981, Logitech International is a Swiss public company listed on the SIX Swiss Exchange (LOGN) and on the Nasdaq Global Select Market (LOGI). Find Logitech and its other brands, including Logitech G, at www.logitech.com, the company blog or @LogitechBiz.

*Carbon reduction estimate is calculated against a design scenario incorporating no PCR material.

Part weights, PCR content and material type used in the carbon reduction estimate are taken from the calculation of PCR percentage submitted to SCS Global Services for certificationDetailed material information is from our current supplier, or for a similar resin from a second-source supplierMinor additives in the resins are ignored in the carbon reduction estimateCarbon emissions factors used in the reduction estimate are from the GaBi database

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SOURCE Logitech

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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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