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Happy Friday!
This week’s AI news developments give us a glimpse into the future as one of the world’s largest telecommunication companies unveils a smartphone concept with no apps, a report predicts traditional search engines to see a 25% decline by 2026, and Google releases an open model to attract developers.
Is AI replacing mobile apps?
Google releases open models for developers
The beginning of the end for search engines
Adobe brings AI chat to Acrobat Reader
Image source: Telekom
Overview: Deutsche Telekom, in partnership with Qualcomm and Brain.ai, unveils a groundbreaking AI smartphone concept at MWC 2024 that operates without traditional apps, powered by an advanced AI digital assistant.
Key Takeaways:
This innovative smartphone concept relies on an AI assistant to perform tasks traditionally handled by separate apps, such as booking flights or editing photos.
The AI assistant utilizes Brain.ai's generative interface, offering a streamlined and intuitive user experience without the clutter of apps.
The technology is cloud-based, ensuring it is accessible on a wide range of devices, including entry-level smartphones, with a high-performance variant available for more demanding tasks.
Deutsche Telekom aims to integrate this technology into existing smartphones, highlighting their commitment to innovation and enhancing user convenience.
The concept was showcased at MWC 2024, reflecting Deutsche Telekom's vision for the future of mobile technology.
Image source: Google
Overview: Google introduces Gemma, a new collection of advanced open AI models, aimed at promoting responsible AI development and innovation within the technology sector.
Key Takeaways:
Gemma offers lightweight, advanced open models, Gemma 2B and Gemma 7B, with pre-trained and instruction-tuned variants, designed to support developers and researchers.
The introduction of a Responsible Generative AI Toolkit alongside Gemma aims to ensure the creation of safer AI applications, providing essential guidance and tools.
Google makes Gemma accessible globally, offering compatibility with major frameworks like JAX, PyTorch, and TensorFlow.
Gemma models are optimized for performance across various AI hardware, including NVIDIA GPUs and Google Cloud TPUs, ensuring high efficiency and industry-leading capabilities.
You can start working with Gemma today using free access in Kaggle, a free tier for Colab notebooks, and $300 in credits for first-time Google Cloud users.
Image source: Midjourney
Overview: Gartner (a consulting firm) forecasts a 25% decline in traditional search engine volume by 2026, attributing the decrease to the rising influence of AI chatbots and virtual agents in search marketing.
Key Takeaways:
Generative AI is becoming a popular alternative for online queries, challenging the dominance of organic and paid search as key marketing channels.
The rise of GenAI content production emphasizes the need for content quality and authenticity, influencing search engine algorithms to prioritize these factors.
Marketers are advised to focus on creating unique, customer-centric content that showcases expertise, experience, authoritativeness, and trustworthiness.
The shift demands a strategic reevaluation of marketing channels by companies to adapt to the growing integration of GenAI across business operations.
Image source: Adobe
Overview: Adobe introduced an AI Assistant in beta for Reader and Acrobat, designed to enhance document interaction with generative AI capabilities.
Key Takeaways:
It utilizes AI and machine learning models from Acrobat Liquid Mode for a deep understanding of PDF content and structure.
Adobe aims to transform digital document experiences, making PDFs more actionable and knowledge-rich.
The AI Assistant adheres to strict data security protocols, ensuring customer document content is protected.
Future developments for the AI Assistant include cross-document insights, AI-powered authoring, and enhanced collaborative tools.
