Unum’s Post

Hands-on with Gemini: Interacting with multimodal AI 💻🎉☁️ Gemini is our natively multimodal AI model capable of reasoning across text, images, audio, video and code. This video highlights some of our favorite interactions with Gemini. Learn more and try the model: https://lnkd.in/gPpf4PGT Explore our prompting approaches here: https://lnkd.in/gbGhWyxB #google #gemini #googlegemini #googleai #artificialintelliegence #lifeatgoogle #googlecloud #vertexai #generatieveai #machinelearning

Hands-on with Gemini: Interacting with multimodal AI 💻🎉☁️ Gemini is our natively multimodal AI model capable of reasoning across text, images, audio, video and code. This video highlights some of our favorite interactions with Gemini. Learn more and try the model: https://lnkd.in/gPpf4PGT Explore our prompting approaches here: https://lnkd.in/gbGhWyxB #google #gemini #googlegemini #googleai #artificialintelliegence #lifeatgoogle #googlecloud #vertexai #generatieveai #machinelearning

In a recent breakthrough, Adobe released VideoGigaGAN, a new generative AI model, capable of upscaling videos while removing temporal flickering and blurriness. In what could be a game-changer for video upscaling, researchers addressed the problem of current video super-resolution (VSR) models producing blurrier outputs while preserving temporal consistency. They proposed using a GAN-based approach as opposed to a regression-based approach, in turn creating the world’s first large-scale GAN-based model for VSR. Read more - https://lnkd.in/eS7-5jGt

Gemini is our natively multimodal AI model capable of reasoning across text, images, audio, video and code. This video highlights some of our favorite interactions with Gemini. Learn more and try the model: https://lnkd.in/gesEXNKv https://lnkd.in/g-z2Edmg

Gemini is our natively multimodal AI model capable of reasoning across text, images, audio, video and code. This video highlights some of our favorite interactions with Gemini. Learn more and try the model: https://lnkd.in/debvVdUb https://lnkd.in/d34QGnff

Spring AI 1.0.0-M1 is here with new high-level APIs, pluggable advisors for Chat Memory, RAG, and more! This example combines Chat Memory, RAG, filter expressions, and Function calling to create an intelligent flight booking assistant. https://lnkd.in/eZvKr-YB

Project Astra 🚀 At any given moment, we’re all processing a stream of different sensory information, making sense of it and making decisions in real time. For AI agents to be truly helpful in everyday life, they should be able to do the same. Yesterday, during Google I/O, we shared our vision for the future of AI assistants with a demo video of Project Astra (which stands for “advanced seeing and talking responsive agent”). Real-time video and audio processing are a game changer. https://lnkd.in/eZQJSSs3

Personalize your AI experience with webAI. Run cutting-edge Large Language Models across your personal devices, creating a seamless, private cluster. Imagine LLAMA 70B operating smoothly between your Vision Pro and Mac Pro. Unlock the potential of state-of-the-art AI, tailored to your hardware ecosystem.

2-minute video (thank you Dovid Schick for sharing): Google DeepMind posted this astonishing demo last month. The tester interacts with a prototype of AI agents supported by Google's Project Astra multimodal foundation model, Gemini. There are two continuous takes: one with the prototype running on a Google Pixel phone and another on a prototype glasses device. The agent takes in a constant stream of audio and video input. It can reason about its environment in real time and interact with the tester in a conversation about what it is seeing. The future is here and the implications far-reaching. #google #deepmind #innovation #ai

This is the summay of our view of AI for Embedded systems! 𝙁𝙪𝙡𝙡 𝙙𝙞𝙨𝙘𝙪𝙨𝙨𝙞𝙤𝙣 𝙞𝙨 𝙤𝙣 𝙔𝙤𝙪𝙏𝙪𝙗𝙚: https://lnkd.in/gxGqimUy We talked more about our experience of using AI for doing "Embedded systems" related tasks.