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GenAI

AI is reshaping the world—transforming business, governance, and human interactions while raising critical questions about ethics, security, and digital equity. At MWC 2025, global AI pioneers, including Ray Kurzweil, Vilas Dhar, and industry leaders, will discuss AI’s role in automation, human augmentation, and the future of work. Join this thought-provoking keynote to explore how we can harness AI responsibly for an inclusive, innovative, and sustainable future.
AI stirs both excitement and concern. While some companies rush to take advantage of it, many are cautious due to the challenges and costs. However, there may be a better approach: using Assistive Intelligence with small, specialized models instead of Large Language Models. This method is more affordable and can benefit businesses and society. Emphasizing open-source technology respects privacy and fosters true innovation. By focusing on solving real problems, we enable growth and empower people to explore Assistive AI without high costs.
MediaTek is showcasing wireless evolution towards 6G, including hybrid computing, a live LEO broadband NR-NTN trial, and SBFD.
The GSMA Foundry has launched Open-Telco LLM Benchmarks, an open-source AI evaluation framework designed to enhance telecom-specific large language models (LLMs). Supported by Hugging Face, The Linux Foundation, Deutsche Telekom, SK Telecom, and more, this initiative aims to improve AI efficiency, security, and compliance in 5G and 6G networks. Learn how this industry-wide benchmark is shaping the future of telecom AI innovation.
At MWC 2025, Qualcomm and Nokia Bell Labs demonstrated how AI-driven wireless networks can achieve multi-vendor interoperability without sharing proprietary data. Their AI-enhanced channel state feedback (CSF) technology optimizes 5G performance, improving network efficiency, signal strength, and reliability. With implications for 6G, Open RAN, and private 5G, this breakthrough is reshaping the future of AI-powered wireless communications.
Nokia introduces MX Context, an AI-powered sensor fusion solution that integrates multi-modal IoT data with private 5G networks for enhanced automation, efficiency, and worker safety. By eliminating data silos, MX Context provides real-time situational awareness, optimizes asset tracking, and enables low-code industrial automation. Learn how this AI-driven innovation is transforming Industry 4.0.
Recent advancements in artificial intelligence training methodologies are challenging traditional assumptions about computational requirements and efficiency. Researchers have discovered an "Occam's Razor" characteristic in neural network training, where models favor simpler solutions over complex ones, leading to superior generalization capabilities. This trend towards efficient training is expected to democratize AI development, reduce environmental impact, and lead to market restructuring, with a shift from hardware to software focus. The emergence of efficient training patterns and distributed training approaches is likely to have significant implications for companies like NVIDIA, which could face valuation adjustments despite strong fundamentals.
Rule-based AI agents operate on predefined rules, ensuring predictable and transparent decision-making, while LLM-based AI agents leverage deep learning for flexible, context-aware responses. This article compares their key features, advantages, and use cases to help you choose the best AI solution for your needs.
AI agents are transforming industries in 2025, but scaling them efficiently without Large Language Models (LLMs) is impossible. LLMs provide critical capabilities such as reasoning, knowledge retrieval, and contextual understanding that power AI automation. This detailed article explores why LLMs are essential for AI agents, the role of Retrieval-Augmented Generation (RAG), optimization strategies, and the best free resources to master LLMs.
Oumi AI, founded by ex-Google and Apple engineers, is the first fully open-source AI platform offering unrestricted access to models, data, and training pipelines. Unlike Llama and DeepSeek-R1, Oumi eliminates AI silos by enabling seamless collaboration across researchers, universities, and enterprises. With backing from MIT, Stanford, and Oxford, Oumi is enabling AI development through transparency, decentralization, and scalable infrastructure—making AI truly accessible to all.
A new Economist Impact report, sponsored by SAS, highlights that AI and digital transformation alone won’t drive government productivity gains. While AI-powered automation can improve efficiency, cybersecurity, and public services, the study underscores that employee engagement, adaptive structures, and cultural readiness are equally important. Based on a survey of 1,550+ public sector employees across 26 countries, the report explores key AI challenges, success stories, and policy recommendations to help governments balance technology and culture for sustainable productivity improvements.
OpenAI has launched ChatGPT Gov, a secure AI chatbot tailored for U.S. government agencies. Designed for enhancing efficiency, security, and AI-powered public services, ChatGPT Gov offers GPT-4o access, secure cloud deployment on Microsoft Azure, and compliance with FedRAMP, CJIS, IL5, and ITAR security standards. With over 90,000 government users already leveraging AI, OpenAI is expanding its role in the public sector while ensuring data privacy, secure deployments, and AI-driven innovation.
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