Google's Gemini 2.0 introduces advanced agentic AI, moving beyond basic functions to provide more utility and enhanced user interaction.
Google goes "agentic" with Gemini 2.0's ambitious AI agent features
Google unveiled Gemini 2.0, a multimodal AI model capable of generating text, images, and speech with improved performance and features for developers.
VisionPro and beyond: protecting users in the era of spatial computing
Spatial computing advancements are rapidly evolving, with AI and mixed reality technologies leading the way.
User Experience Design is driven by psychology to create intuitive products.
Multimodal Artificial Intelligence: Opportunities and Challenges in HIV Clinical Care
The goal of this concept is to encourage the use of multimodal artificial intelligence to accelerate HIV diagnosis, prevention, and treatment.
The concept aims to leverage advanced multimodal AI models to improve HIV prevention, treatment, and care by expanding capacities in clinical care and data-driven applications.
Google jumps on the agentic AI bandwagon
Google's Gemini 2.0 introduces advanced agentic AI, moving beyond basic functions to provide more utility and enhanced user interaction.
Google goes "agentic" with Gemini 2.0's ambitious AI agent features
Google unveiled Gemini 2.0, a multimodal AI model capable of generating text, images, and speech with improved performance and features for developers.
VisionPro and beyond: protecting users in the era of spatial computing
Spatial computing advancements are rapidly evolving, with AI and mixed reality technologies leading the way.
User Experience Design is driven by psychology to create intuitive products.
Multimodal Artificial Intelligence: Opportunities and Challenges in HIV Clinical Care
The goal of this concept is to encourage the use of multimodal artificial intelligence to accelerate HIV diagnosis, prevention, and treatment.
The concept aims to leverage advanced multimodal AI models to improve HIV prevention, treatment, and care by expanding capacities in clinical care and data-driven applications.
Hugging Face model SmolVLM requires a lot less compute
SmolVLM is an efficient multimodal model that significantly reduces GPU requirements, making it suitable for various applications and more cost-effective for organizations.
DreamLLM: Additional Related Works to Look Out For | HackerNoon
LLMs are fundamentally transforming the landscape of Natural Language Processing with advancements in model size and training techniques.
Building a Flexible Framework for Multimodal Data Input in Large Language Models | HackerNoon
Multimodal AI enhances capabilities by integrating various data types, yet creating these systems presents technical challenges and complexities.
Building complex gen AI models? This data platform wants to be your one-stop shop
Encord expands its multimodal AI data platform by adding audio and document annotation capabilities, elevating its service to AI teams.
I tested the new Copilot Voice, Microsoft's AI voice assistant. You can, too - for free
Microsoft's Copilot Voice enhances AI conversations with emotional understanding and free access, making multimodal AI assistants more accessible and interactive.
The Ray-Ban Meta Smart Glasses have multimodal AI now
Smart glasses are evolving with features like multimodal AI, enhancing user experiences.
I tested the new Copilot Voice, Microsoft's AI voice assistant. You can, too - for free
Microsoft's Copilot Voice enhances AI conversations with emotional understanding and free access, making multimodal AI assistants more accessible and interactive.
The Ray-Ban Meta Smart Glasses have multimodal AI now
Smart glasses are evolving with features like multimodal AI, enhancing user experiences.
The Most Capable Open Source AI Model Yet Could Supercharge AI Agents
Molmo, an open source multimodal AI model, enhances accessibility for developers to create advanced AI agents that can perform useful tasks on computers.
AI requires massive compute power for unstructured data
AI is impacting organizational structure, careers, and the artistic world
The Future of Generative AI (2024): 8 Predictions to Watch
Generative AI is rapidly becoming integral across industries, evolving with new applications, while posing challenges around job displacement and the need for workforce adaptation.
Gartner: 40% of generative AI solutions to be multimodal by 2027
Gartner predicts that 40% of generative AI solutions will be multimodal by 2027, significantly increasing from just 1% in 2023.
Top 5 AI Trends to Watch in 2024
AI requires massive compute power for unstructured data
AI is impacting organizational structure, careers, and the artistic world
The Future of Generative AI (2024): 8 Predictions to Watch
Generative AI is rapidly becoming integral across industries, evolving with new applications, while posing challenges around job displacement and the need for workforce adaptation.
Gartner: 40% of generative AI solutions to be multimodal by 2027
Gartner predicts that 40% of generative AI solutions will be multimodal by 2027, significantly increasing from just 1% in 2023.
Google's medical AI destroys GPT's benchmark and outperforms doctors
AI models like Google's Med-Gemini are advancing to process diverse medical information, approaching real-world doctor capabilities.
Google Trains User Interface and Infographics Understanding AI Model ScreenAI
Google Research developed ScreenAI, a multimodal AI model for understanding infographics and user interfaces based on PaLI, achieving state-of-the-art performance.
The latest version of xAI's Grok can process images
xAI introduces Grok-1.5V, a multimodal AI model for processing visual information.