Hexagon launches a new robotics division to promote next generation autonomy – aitority
Hexagon launches a new robot division to promote next-generation autonomyAthority
Hexagon launches a new robot division to promote next-generation autonomyAthority
Advances in multimodal AI for integrated understanding and generationTechnical time
The next generation will never know a world without AIdecryption Introducing the Beta generation, which will begin to be born in 2025.Axios The Beta Generation is underway as Beta Babies…
Fine-tuning Llama 3 for text generation with Amazon SageMaker JumpStartAWS Blog Meta drives open source AI boom, Llama downloads surge 10x year-over-yearVenture Beat Llama-3.1-Storm-8B: A groundbreaking AI model that outperforms…
Embracing Generation AI in the WorkplaceHBR.org Daily
Anthropic is program Fund the development of new types of benchmarks that can evaluate the performance and impact of AI models, including generative models like our own Claude. Anthropik’s program,…
To give female academics and others focused on AI their well-deserved and overdue spotlight time, TechCrunch is launching a series of interviews highlighting notable women who have contributed to the…
Join leaders in Boston on March 27th for a special evening of networking, insight, and conversation. Request an invitation here. Popular AI image generation service The middle of a journey…
Harsh words from one of the godfathers of AI. incomplete pixel Sora, OpenAI’s new AI model for video generation, has been making waves since its release last week. But Yann…
This technical report focuses on (1) how to transform all kinds of visual data into a unified representation that enables large-scale training of generative models, and (2) a qualitative assessment…
Note: As part of our service Preparation framework, we are investing in developing improved methods for assessing safety risks using AI. We believe these efforts would benefit from broader input,…
https://arxiv.org/abs/2311.05556v1 Latent diffusion models are generative models used in machine learning, especially probabilistic modeling. These models aim to capture the underlying structure and latent variables of a dataset, and often…