Current monocular estimation of metric depth faces challenges due to differences in indoor and outdoor datasets, scale ambiguity in photos, and limited generalizability. A new study by Google Research and Google Deepmind introduces DMD, a diffusion model for zero-shot metric depth estimation, achieving state-of-the-art performance by addressing scale ambiguities and enhancing generalizability. DMD outperforms ZoeDepth…

Researchers used machine learning to determine the true artist of the Renaissance painting Madonna della Rosa. While there were lingering doubts, a machine learning model developed by Professor Ugail identified high probabilities that certain parts were painted by Raphael. However, it suggested that Joseph’s head was likely by a different artist, providing valuable insights for…

Machine learning is reshaping plant pathology, offering automated and accurate solutions for diagnosing and managing leaf diseases in agriculture. A recent publication discusses the advancements and applications of machine learning in leaf disease detection, including datasets, classification methods, and tools. It emphasizes the potential for sustainable and efficient crop management using cutting-edge technology.

The latest advancements in Artificial Intelligence have led to the emergence of JoyTag, an inclusive image tagging AI model. JoyTag introduces gender positivity, inclusivity, and an expanded tagging schema to broaden its applicability across various image types. It overcomes filtering limitations and aims to prioritize inclusivity and diversity, representing a significant advancement in image tagging.

LangChain introduces Conversational Memory, a pivotal feature that enables Large Language Models (LLMs) to retain and utilize information from previous user interactions. This feature transforms user experience, ensuring natural conversation flow. LangChain offers various memory options to tailor conversation handling, including buffering, summarization, and token tracking. These methods can be combined and customized for specific…

Google has expanded its AI-powered code assistance features in Colab, making them available to all users, not just those on paid plans. This marks a pivotal move towards inclusivity and accessibility in coding and AI development. Colab aims to democratize access to powerful computing resources and foster an inclusive environment for learning and innovation.

The need for standardization in large language models (LLMs) presents a challenge for effective model comparisons and evaluation. PromptBench emerges as a novel solution, offering a modular evaluation framework that simplifies task specification and dataset loading. Its customizable approach and additional performance insights mark a significant advancement in LLM evaluation. Read more: https://arxiv.org/abs/2312.07910v1

AI startup Anthropic is in talks for a $750 million funding round, led by Menlo Ventures, valuing the company at around $18 billion. Founded in 2021 by former OpenAI executives, Anthropic has attracted investments from Google, Amazon, South Korea’s SK Telecom, and has gained recognition for its constitutional AI approach. (Word count: 49)

The recent exponential advances in natural language processing have generated excitement for potential human-level intelligence. However, concerns surround the fundamental blindspots and limitations of neural approaches, particularly in systematic reasoning tasks. To combat these issues, integrating structured knowledge representations such as knowledge graphs with large language models (LLMs) shows promise in mitigating these deficits, facilitating…

The text provides a comprehensive overview of Gaussian splatting, a new trend in 3D representation. It discusses its representation of 3D scenes using 3D points and Gaussian functions, its image formation model & rendering, optimization, and limitations. The method is compared to NeRF and highlighted for its speed, simplicity, and interpretability. For more information, please…