Tools & Platforms
AI Flow by TeleAI Recognized as a Breakthrough Framework for AI Deployment and Distribution by Omdia
SHANGHAI, July 11, 2025 /PRNewswire/ — AI Flow, the innovative framework developed by TeleAI, the Institute of Artificial Intelligence of China Telecom, has been recognized as a key role in the intelligent transformation of telecom infrastructure and services in the latest report by Omdia, a premier technology research and advisory firm. The report highlights AI Flow’s exceptional capabilities in addressing the edge GenAI implementation challenges, showcasing its device-edge-cloud computing architecture that optimizes both performance and efficiency as well as its groundbreaking combination of information and communication technologies.
According to the report, AI Flow facilitates seamless intelligence flow, allowing device-level agents to overcome the limitations of a single device and achieve enhanced functionality. The same communication network can connect advanced LLMs, VLMs, and diffusion models across heterogeneous nodes. By facilitating real-time, synergistic integration and dynamic interaction among these models, the approach achieves emergent intelligence that exceeds the capabilities of any individual model.
Lian Jye Su, Chief Analyst at Omdia, remarked that AI Flow has demonstrated sophisticated approaches to facilitate efficient collaboration across device-edge-cloud tiers and to achieve emergent intelligence through connective and interactive model operations.
The unveiling of AI Flow has also drawn great attention from the AI community on global social media. AI industry observer EyeingAI said on X “It’s a grounded, realistic take on where AI could be headed. ” AI tech influencer Parul Gautam said on X that AI Flow is pushing AI boundaries and ready to shape the future of intelligent connectivity.
Fulfill the Vision of Ubiquitous Intelligence in Future Communication Networks
AI Flow, under the leadership of Professer Xuelong Li, the CTO and Chief Scientist of China Telecom and Director of TeleAI, is introduced to address the significant challenges of the deployment of emerging AI applications posed by hardware resource limitations and communication network constraints, enhancing the scalability, responsiveness, and sustainability of real world AI systems. It is a multidisciplinary framework designed to enable seamless transmission and emergence of intelligence across hierarchical network architectures by leveraging inter-agent connections and human-agent interactions. At its core, AI Flow emphasizes three key points:
Device-Edge-Cloud Collaboration: AI Flow leverages a unified device-edge-cloud architecture, integrating end devices, edge servers, and cloud clusters, to dynamically optimize scalability and enable low-latency inference of AI models. By developing efficient collaboration paradigms tailored for the hierarchical network architecture, the system minimizes communication bottlenecks and streamlines inference execution.
Familial Models: Familial models refer to a set of multi-scale architectures designed to address diverse tasks and resource constraints within the AI Flow framework. These models facilitate seamless knowledge transfer and collaborative intelligence across the system through their interconnected capabilities. Notably, the familial models are feature-aligned, which allows efficient information sharing without the need for additional middleware. Furthermore, through well-structured collaborative design, deploying familial models over the hierarchical network can achieve enhanced inference efficiency under constrained communication bandwidth and computational resources.
Connectivity- and Interaction-based Intelligence Emergence: AI Flow introduces a paradigm shift to facilitate collaborations among advanced AI models, e.g., LLMs, vision-language models (VLMs), and diffusion models, thereby stimulating emergent intelligence surpassing the capability of any single model. In this framework, the synergistic integration of efficient collaboration and dynamic interaction among models becomes a key boost to the capabilities of AI models.
See AI Flow’s tech articles here:
https://www.arxiv.org/abs/2506.12479
https://ieeexplore.ieee.org/document/10884554
AI Flow’s First Move: AI-Flow-Ruyi Familial Model
Notably, TeleAI has just open-sourced the first version of AI Flow’s familial model: AI-Flow-Ruyi-7B-Preview last week on GitHhub.
The model is designed for the next-generation device-edge-cloud model service architecture. Its core innovation lies in the shared intermediate features across models of varying scales, enabling the system to generate response with a subset of parameters based on problem complexity through an early-exit mechanism. Each branch can operate independently while leveraging their shared stem network for computation reduction and seamless switching. Combined with distributed device-edge-cloud deployment, it achieves collaborative inference among large and small models within the family, enhancing the efficiency of distributed model inference.
Open-source address:
https://github.com/TeleAI-AI-Flow/AI-Flow-Ruyi
About TeleAI
TeleAI, the Institute of Artificial Intelligence of China Telecom, is a pioneering team of AI scientists and enthusiasts, working to create breakthrough AI technologies that could build up the next generation of ubiquitous intelligence and improve people’s wellbeing. Under the leadership of Professor Xuelong Li, the CTO and Chief Scientist of China Telecom, TeleAI aims to continuously expand the limits of human cognition and activities, by expediting research on AI governance, AI Flow, Intelligent Optoelectronics (with an emphasis on embodied AI), and AI Agents.
For more information:
https://www.teleai.com.cn/product/AboutTeleAI
Photo – https://mma.prnewswire.com/media/2729356/AI_Flow.jpg
Tools & Platforms
ZTE CDO Cui Li Highlights Efficient and Green AI as a Driver of SDGs Progress at AI for Good Global Summit
GENEVA, July 11, 2025 /PRNewswire/ — ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, announced that Cui Li, the company’s Chief Development Officer (CDO), was invited to attend the workshop themed “Navigating the Intersect of AI, Environment and Energy for a Sustainable Future” at the AI for Good Global Summit 2025 held in Geneva. During the session, she delivered a speech titled “Accelerating Progress Towards SDGs with AI-powered New Paradigm,” where she shared ZTE’s innovative efforts to drive efficient and green AI, and to deepen the integration of AI with ICT technologies and products, with the goal of accelerating AI accessibility and low-carbon transformation of society.
Cui Li observed that the latest AI surge, driven by large language models, is sweeping the world at incredible speed. This rapid advance is accompanied by soaring computing demands and surging energy consumption. Achieving sustainable AI has therefore become an industry-wide imperative, and the key lies in defining a clear and efficient pathway. Framing the issue from two perspectives—”Energy for AI” and “AI for Energy”—she outlined how companies can scale AI in a greener, more efficient manner and, in turn, harness AI to drive an energy transition that cuts costs, improves efficiency, and supports a low-carbon future.
In terms of “Energy for AI,” Cui Li emphasized that the industry faces an “Inverted Triangle Dilemma” and efficiency holds the key to solving the dilemma. In response, ZTE is tackling the issue on three levels—developing efficient infrastructure, enabling efficient intelligence enhancement, and accelerating impact through efficiency—collectively driving the efficient and green development of AI.
With respect to “AI for Energy,” she highlighted that under the core strategy of “AI for All,” ZTE has deeply integrated AI with its ICT technologies and products to build full-stack intelligent solutions. The company is now deploying AI capabilities across industrial, household and consumer scenarios, enabling cost-efficiency, operational gains and a lower-carbon trajectory for the wider economy.
For Cui Li’s speech titled “Accelerating Progress Towards SDGs with AI-powered New Paradigm,” please visit:
https://www.zte.com.cn/global/about/news/zte-cdo-cui-li-highlights-efficient-and-green-ai-as-a-driver-of-sdgs-progress-at-ai-for-good-global-summit.html
Tools & Platforms
Presentations Now Available for Online Viewing
Company Executives Share Vision and Answer Questions Live at VirtualInvestorConferences.com
NEW YORK, July 11, 2025 (GLOBE NEWSWIRE) — Virtual Investor Conferences, the leading proprietary investor conference series, today announced the presentations from the AI & Technology Virtual Investor Conference, held July 10th are now available for online viewing.
REGISTER AND VIEW PRESENTATIONS HERE
The company presentations will be available 24/7 for 90 days. Investors, advisors, and analysts may download investor materials from the company’s resource section.
Select companies are accepting 1×1 management meeting requests through July 15th
July 10th Presentations
To facilitate investor relations scheduling and to view a complete calendar of Virtual Investor Conferences, please visit www.virtualinvestorconferences.com.
About Virtual Investor Conferences®
Virtual Investor Conferences (VIC) is the leading proprietary investor conference series that provides an interactive forum for publicly traded companies to seamlessly present directly to investors.
Providing a real-time investor engagement solution, VIC is specifically designed to offer companies more efficient investor access. Replicating the components of an on-site investor conference, VIC offers companies enhanced capabilities to connect with investors, schedule targeted one-on-one meetings and enhance their presentations with dynamic video content. Accelerating the next level of investor engagement, Virtual Investor Conferences delivers leading investor communications to a global network of retail and institutional investors.
Media Contact:
OTC Markets Group Inc. +1 (212) 896-4428, media@otcmarkets.com
Virtual Investor Conferences Contact:
John M. Viglotti
SVP Corporate Services, Investor Access
OTC Markets Group
(212) 220-2221
johnv@otcmarkets.com
Tools & Platforms
AI technology drives sharp rise in synthetic abuse material
New data reveals over 1,200 AI-generated abuse videos have been discovered so far in 2025, a significant rise from just two during the same period last year.
AI is increasingly being used to produce highly realistic synthetic abuse videos, raising alarm among regulators and industry bodies.
According to new data published by the Internet Watch Foundation (IWF), 1,286 individual AI-generated abuse videos were identified during the first half of 2025, compared to just two in the same period last year.
Instead of remaining crude or glitch-filled, such material now appears so lifelike that under UK law, it must be treated like authentic recordings.
More than 1,000 of the videos fell into Category A, the most serious classification involving depictions of extreme harm. The number of webpages hosting this type of content has also risen sharply.
Derek Ray-Hill, interim chief executive of the IWF, expressed concern that longer-form synthetic abuse films are now inevitable unless binding safeguards around AI development are introduced.
Safeguarding minister Jess Phillips described the figures as ‘utterly horrific’ and confirmed two new laws are being introduced to address both those creating this material and those providing tools or guidance on how to do so.
IWF analysts say video quality has advanced significantly instead of remaining basic or easy to detect. What once involved clumsy manipulation is now alarmingly convincing, complicating efforts to monitor and remove such content.
The IWF encourages the public to report concerning material and share the exact web page where it is located.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
-
Funding & Business2 weeks ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Jobs & Careers1 week ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Mergers & Acquisitions1 week ago
Donald Trump suggests US government review subsidies to Elon Musk’s companies
-
Funding & Business1 week ago
Rethinking Venture Capital’s Talent Pipeline
-
Jobs & Careers1 week ago
Why Agentic AI Isn’t Pure Hype (And What Skeptics Aren’t Seeing Yet)
-
Education4 days ago
9 AI Ethics Scenarios (and What School Librarians Would Do)
-
Education1 week ago
AERDF highlights the latest PreK-12 discoveries and inventions
-
Education4 days ago
Teachers see online learning as critical for workforce readiness in 2025
-
Education6 days ago
How ChatGPT is breaking higher education, explained
-
Education5 days ago
Nursery teachers to get £4,500 to work in disadvantaged areas