Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

Recent advancements in human motion capture have made it possible to capture motion from RGB photos and films using affordable devices. This opens up opportunities for motion capture in various industries, including sports. However, there are…

The text discusses the HyperHuman framework for generating hyper-realistic human images. It utilizes a large dataset and a Latent Structural Diffusion Model to improve image quality and coherence. The framework demonstrates superior performance and robustness compared…

A study published in Intelligent Computing introduces a new method called edge-sensitive single-pixel imaging (ESI) for detecting object edges even when obtaining clear images through standard optical methods is challenging due to factors like severe light…

This text is about using Python to analyze the geospatial data from the International Union for Conservation of Nature (IUCN).

GPT-4 is the latest language model developed by OpenAI, known for its accuracy and safety. It can process various formats such as images, PDFs, and CSVs. Other AI tools mentioned include Bing AI for accurate answers,…

Music publishers, including Universal Music, ABKCO, and Concord Publishing, have filed a lawsuit against Anthropic in Tennessee federal court. The lawsuit accuses Anthropic of misusing copyrighted song lyrics to train its chatbot Claude, infringing upon the…

The NYPD has partnered with tech company Truleo to use AI to analyze police body-worn camera footage. Truleo’s software categorizes officers’ language and scores interactions as “professional” or “unprofessional.” Meanwhile, in the UK, there are plans…

Anthropic, the company behind the AI chatbot Claude, conducted an experiment involving around 1,000 Americans to explore the idea of letting ordinary people shape the rules that govern AI behavior. By allowing public input, Anthropic aims…

A safety mitigation stack was created for the wider release of DALL·E 3. Updates on provenance research will be shared.

AI models like GPT-4, used by companies such as OpenAI and Meta, can infer personal information from our online chats and comments, even when we think we’re not revealing anything personal. Researchers found that GPT-4 could…

The text explains how to summarize text effectively and accurately.

A new diffusion-based continuous GNN model has been developed that improves generalization capabilities.

A group of researchers has developed an algorithm known as Cross-Episodic Curriculum (CEC) to address challenges in applying data-hungry algorithms, like transformer models, to fields with limited data. CEC incorporates cross-episodic experiences into a curriculum to…

Researchers from Stanford, MIT, and Princeton created the Foundation Model Transparency Index (FMTI) to benchmark the transparency of AI companies and their models. Meta’s Llama 2 ranked first with a score of 54%, followed closely by…

Generative AI systems have various applications, including writing books and creating graphic designs. However, evaluating their ethical and social risks is crucial. This paper proposes a three-layered framework for evaluating these risks, focusing on AI system…

This text emphasizes the importance of continuous learning and growth in one’s career. It introduces several articles that cover various technical topics, such as generative AI, principle component analysis, image classification, linear algebra, support vector machines,…

Nvidia, the valuable chip company, is partnering with Foxconn, the iPhone manufacturer, to construct AI factories. These data centers will utilize Nvidia’s advanced chips for various artificial intelligence applications. The partnership was announced by Nvidia CEO…