GenAI Ethics Playbook; Agents for Customer Experience; Deepseek; Centralised vs Decentralised AI; xAI in Autonomous Systems; Knowledge from Videos ...

Investments

1. Agents for Personalised Customer Experience: Palona AI , a Palo Alto-based provider of AI solutions, has raised $10M in Seed funding from backers including UpHonest Capital , Fusion Fund , Maynard Webb , and NEO Investment Partners LLP . Founded by Maria Zhang , Steve Liu, and Tim Howes , Palona AI develops AI systems to help businesses create customised customer service experiences. The funds will be used to expand operations and development efforts. READ

News

1. DeepSeek: The Chinese AI Disruptor DeepSeek AI , a Chinese AI startup, has taken the tech world by storm with its new AI model, R1. This model reportedly rivals OpenAI's ChatGPT but at a fraction of the cost, raising questions about the massive investments by US tech giants. The emergence of DeepSeek has led to a significant drop in US tech stocks, with Nvidia experiencing a record one-day loss in market value. President Trump has called this a "wake-up call" for American industries to innovate and compete more effectively. READ
2. Centralised vs Decentralised AI: As the AI landscape continues to evolve, the competition between centralised and decentralised AI models intensifies. The Stargate Project from OpenAI and DeepSeek's emergence underscore the strategic importance of AI infrastructure and innovation. The coming months will be crucial in determining how these developments shape the future of AI and global technological leadership. READ

Research

1. Explainable AI in Autonomous Systems: Mumuni Fuseini and Alhassan Mumuni provide a comprehensive survey on explainable AI (XAI) techniques, emphasising their importance in mission-critical domains like autonomous driving. They discuss the role of LLMs and vision-language models in improving model interpretability. READ
2. The Generative AI Ethics Playbook: A team from University of Colorado , 美国卡内基梅隆大学 , Ai2 and led by Jessie J. Smith and Jesse Dodge provides a comprehensive guide for identifying and mitigating risks in AI systems. This playbook is a valuable resource for AI practitioners aiming to minimise negative impacts on users and society. READ
3. Knowledge Acquisition from Videos: Kairui Hu et al. introduces a benchmark to assess large multimodal models' ability to acquire and utilise knowledge from videos. The study highlights the gap between human and model knowledge acquisition, emphasising the need for improved learning methods. READ

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