HAMBURG, Germany, Sept. 24, 2026 /PRNewswire/ — Envision Energy, a global leader in green technology, launched the EN-252/16.7, its next-generation offshore wind turbine developed for high-wind environments and tailored to the requirements of international offshore markets. With 16.7 MW rated power, a high-performance rotor and an integrated powertrain, the new turbine is designed to deliver higher energy production, greater reliability and increased project ROI.

The EN-252/16.7 builds on Envision’s proven Model Z platform and more than a decade of offshore wind development and operational experience. The Model Z platform has been in operation since 2023, providing a foundation of operating data and engineering experience for the next generation of offshore turbines. The international EN-252/16.7 is tailored with a Europe-specific high-performance rotor and is being developed through extensive component- and system-level validation. The turbine combines high-capacity generation with vertically integrated key component technologies, advanced safety and grid capabilities, and AI-powered lifecycle monitoring through Envision’s Galileo system.

Christian Schrimpf, Executive Vice President of Offshore Wind at Envision Energy, said: “The next phase of offshore wind is not simply about increasing turbine scale. The real value of scale lies in how effectively it translates into higher energy production, greater reliability and stronger economics across the project lifecycle. With the EN-252/16.7, we are bringing these capabilities together to help customers capture more value from offshore wind over the long term.”

Higher Performance for increased project ROI

With 16.7 MW rated power and a swept-area-to-power ratio of approximately 2.99 square meters per kilowatt, the EN-252/16.7 is designed to increase energy production from high-wind offshore resources. For a gigawatt-scale offshore wind farm, the turbine can deliver approximately 1-2% higher annual energy production while reducing turbine quantity by around 10% compared with currently available turbines, contributing to an estimated 2-4% reduction in levelized cost of energy (LCOE), depending on site conditions and project configuration. For suitable site-specific conditions, the turbine can also be uprated, creating further potential to reduce turbine numbers and capital expenditure for the project (CAPEX).

Proven Engineering for Long-Term Reliability

The EN-252/16.7 is supported by extensive component- and system-level validation through Envision’s in-house testing facilities. Testing includes drivetrain system loading tests and more than 600 hours of highly accelerated life testing for drivetrain, helping capture component boundaries and system interactions under demanding operating conditions.

Reliability is further supported by Envision’s vertically integrated approach to the development and manufacturing of key components. The company has accumulated experience across approximately 12,000 gearboxes, 12,000 main-bearing sets, 25,000 blade sets, 23,000 generators and 28,000 converters.

Safety and Resilience in Extreme Conditions

The EN-252/16.7 is designed to support safe and resilient operation under demanding offshore conditions, including extreme wind events, withstanding a 10-minute average extreme wind speed of up to 58.5 m/s and a three-second gust once in 50-year of up to 82 m/s. Safety is further supported by the turbines integration capability with energy storage. Combined with Envision BESS, the system can provide long-duration backup power for critical turbine devices and safety-related functions when external grid power is unavailable, including during pre-commissioning and severe storm or typhoon conditions.

The turbine further incorporates grid-forming control, black-start capability and stable operation under weak-grid and grid-fault conditions. Autonomous operating capabilities further support continuous power supply to critical turbine systems when conventional grid support is disrupted, extending resilience from extreme-weather protection to electrical and operational continuity.

AI-Powered Lifecycle Optimization

The EN-252/16.7 extends reliability into turbine operation through Envision’s AI-driven Galileo system, which supports earlier fault detection and more proactive maintenance throughout the turbine lifecycle. Commercially applied across more than 20,000 turbines since 2020, Galileo uses more than 30 functional models to monitor major components and critical failure modes, providing early-warning reports approximately one to six months in advance per different conditions

Earlier fault detection supports more timely maintenance planning, helping reduce unplanned interventions and lifecycle operating expenditure (OPEX). The turbine also includes an AI-turbine interface to support future upgrades and the continued evolution of intelligent turbine operations.

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SOURCE Envision Energy

Powered by W-Hong LLM, EliteMind lets students take AI models and programs from digital learning into real-world sensing, reasoning and action.

SHANGHAI, Sept. 23, 2026 /PRNewswire/ — WhalesBot, a global leader in STEM and AI education, has announced EliteMind, a modular Physical AI robot designed to bring AI learning into the physical world for elementary and middle school students. With EliteMind, students can develop their own models and programs in WhalesBot’s learning platform, then deploy them directly for testing and hands-on experimentation, turning digital AI projects into tangible, interactive experiences.

Powered by W-Hong LLM, WhalesBot’s AI model built for STEM and AI education, EliteMind brings perception, reasoning, and physical action together in a complete Physical AI loop. It integrates intent recognition, voice interaction, visual understanding, and AI-powered creation with physical control, giving students a hands-on way to understand how AI works in the physical world. Its lightweight, modular design allows sensors and actuators to be combined across different robotic configurations, enabling students to build and explore a range of real-world AI applications.

EliteMind connects with OceanLevel, WhalesBot’s AI literacy learning platform, to bridge structured AI learning and hands-on practice in the physical world. Within this system, WhalesBot OceanLevel provides age-appropriate AI courses, AI tools, model training, and programming, while EliteMind brings what students learn and build in the digital environment into the real world for practice, testing, and feedback. Together, they bring AI understanding, digital creation, and hands-on practice into one continuous learning experience.

“As AI increasingly operates in real-world systems, AI education also needs to move beyond the screen,” said Xufeng Fei, CEO of WhalesBot, who has advocated for STEM and AI education for decades. “With EliteMind, we aim to support a learning journey from foundational AI literacy to hands-on practice and competition, helping students build practical AI skills step by step.”

The launch of EliteMind further strengthens WhalesBot’s growing portfolio of AI products powered by W-Hong LLM and adds a new physical dimension to its STEM & AI Learning Ecosystem. Looking ahead, WhalesBot will continue to develop new ways to help students move from understanding AI to building with it and applying it in the real world.

For more information about EliteMind and the WhalesBot STEM & AI Learning Ecosystem, visit https://www.whalesbot.ai/

About WhalesBot

WhalesBot Technology, founded in 2018 and headquartered in Shanghai, China, provides STEM and AI education solutions for learners aged 3 to 22, with more than 1 million units sold in over 81 countries and regions. WhalesBot also sponsors ENJOY AI, an international STEM and robotics competition built around creative robotics and coding challenges.

Connect with WhalesBot:

LinkedIn | Facebook | YouTube

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SOURCE WhalesBot

BEIJING, Sept. 24, 2026 /PRNewswire/ — Bairong AI Inc. (HKEX: 6608) recently issued an announcement, announcing the conditional grant of 24,395,000 Share Awards to Mr. Zhang Shaofeng, founder, chairman of the Board and chief executive officer of the Company. Vesting of such Share Awards is directly linked to the Company’s market capitalization performance. At the same time, the Company has refreshed the Restricted Share Unit (“RSU”) Scheme limit, continuously improving its long‑term incentive and corporate governance system. The arrangement closely binds management’s personal rewards to the growth of shareholder value, supporting the Group’s AI strategic upgrade and large‑scale implementation of its RaaS (Result‑as‑a‑Service) model.

The conditional grant totals 24,395,000 Share Awards, representing approximately 6.58% of the total Class B Shares in issue (excluding any treasury Shares) as at the date of grant. The conditional grant shall take effect subject to acceptance by the Grantee and approval by the Shareholders at an extraordinary general meeting (“EGM”). Different from conventional vesting schemes mainly based on time, this incentive does not adopt pure time‑based unlocking criteria. Vesting of all five tranches of Share Awards is subject to progressive market‑capitalization‑linked performance targets. Relevant tranches can only vest if corresponding market capitalization targets are achieved within the vesting period.

The performance targets are divided into five progressive market‑capitalization tiers: the first tier requires the arithmetic average of the Company’s market capitalization to reach or exceed HK$6,000,000,000 for any 15 consecutive trading days; the second tier HK$7,000,000,000; the third tier HK$8,000,000,000; the fourth tier HK$9,000,000,000; and the fifth tier requires the market capitalization to reach or exceed HK$10,000,000,000 for any 183 consecutive trading days. Each tier of market capitalization target corresponds to a fixed proportion of the Share Awards. All tranches are also subject to the condition that Mr. Zhang continues to serve as chairman of the Board and/or executive Director through the relevant vesting date. If multiple market‑capitalization targets are satisfied within the same period, the corresponding tranches may vest simultaneously. The overall vesting period commences on the date falling six months after the date of grant and ends on the fourth anniversary of the date of grant.

Meanwhile, a 24‑month lock‑up undertaking applies to vested Share Awards to further extend management’s share‑holding period and consolidate the long‑term community of interests. The incentive scheme is also equipped with a complete clawback mechanism. In cases of material misconduct or integrity‑related breaches, the Company may cause unvested awards to lapse or demand repayment of corresponding value of shares to safeguard the interests of the Company and its shareholders. The Group will not provide any financial assistance to Mr. Zhang for his acquisition of the Shares under the conditional grant.

The Board and the Remuneration Committee stated that this equity incentive aims to fully recognize Mr. Zhang’s critical contributions since the establishment of the Company. As a technology‑oriented founder, Mr. Zhang has spearheaded the Company’s build‑up of full‑stack AI capabilities and led the team to iterate multiple domain‑specific foundation models. The Company’s voice foundation model ranked first on the public comprehensive evaluation leaderboard in the VoiceBench benchmark assessment. He championed and implemented the RaaS (Result‑as‑a‑Service) business model, built the three‑tier Results Cloud platform, promoted the large‑scale deployment of silicon workforce, and directly linked AI value to clients’ business outcomes to realize business‑model innovation. Under his leadership, Bairong AI’s enterprise‑grade AI Agent capabilities have expanded from the financial industry to diverse sectors including logistics, securities brokerage, banking and operators, continuously broadening the Group’s growth curve.

“This market‑capitalization‑anchored incentive follows the core logic that rewards stem from genuine enhancement of shareholder value. Management can obtain incentive returns only when the Company’s market capitalization keeps rising, realizing high alignment of interests among management, core founder and all shareholders,” the Remuneration Committee commented. As the grant triggers approval thresholds under the Listing Rules, an extraordinary general meeting will be convened for review and approval by independent shareholders, and the relevant circular will be disseminated to Shareholders in due course.

About Bairong AI Inc. (6608.HK)

Bairong AI Inc. is an integrated AI service provider in China with capabilities in both domain‑specific foundation model R&D and enterprise‑grade AI Agent implementation. Pioneering the RaaS (Result‑as‑a‑Service) business model, the Company has built the three‑tier Results Cloud platform to enable large‑scale deployment of silicon workforce. It delivers quantifiable outcome‑oriented AI services to industries including logistics, airlines, operators and banking. Committed to creating tangible business value through technology implementation, Bairong AI keeps advancing full‑stack AI technology iterations and drives enterprise AI to evolve from tool‑level applications toward delivery of verifiable business outcomes.

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SOURCE Bairong AI Inc.