Large language models, such as GPT, have shown exceptional performance in text-related tasks. However, efforts are being made to teach them how to comprehend and use other forms of information, such as sounds and images. Microsoft researchers have developed DeepSpeed-VisualChat, an advanced framework that enhances multi-modal capabilities and scalability in dialogue systems. The framework uses…
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 challenges in using computer vision-based motion capture for swimming due to the unique nature of aquatic data. Researchers have…
Companies are increasingly using user-generated images and videos for engagement, but managing inappropriate content can be a challenge. Amazon Rekognition offers pre-trained and customizable AI capabilities for content moderation. With the new Custom Moderation feature, companies can enhance the accuracy of the moderation model and tailor it to their specific needs. The feature allows for…
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 to previous models. Future research can explore text-to-pose generation using deep priors.
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 pollution. The ESI method extracts edge information by illuminating an object with carefully crafted modulation patterns, bypassing the need…
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, DALL-E 2 for text-to-image generation, Adobe Firefly for image editing, and many more.
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 publishers’ rights. Examples of songs mentioned in the lawsuit range from the Beach Boys’ “God Only Knows” to Mark…
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 to roll out facial recognition technology in shops, despite concerns about privacy and bias.
The text discusses the challenges of building anomaly detection models using high-resolution imagery and proposes a two-stage approach to overcome these challenges. It describes the training process for a Rekognition Custom Labels model and presents the results of experiments conducted using one-stage and two-stage models to detect missing holes in PCBs. The two-stage model outperformed…
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 to bridge the gap between public opinion and the AI industry. The experiment resulted in a “Collective Constitutional AI”…
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 accurately infer attributes like age, education, sex, occupation, and more from Reddit comments. This has implications for privacy and…
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 improve learning and generalization efficiency. The algorithm has been successfully applied to solving challenges in multi-task reinforcement learning and…
This article introduces the business model of making money through TikTok Dropshipping. Sebastian Esqueda, a successful dropshipper, shares his exact model on the WGMI Media Podcast. The article explains the concept of TikTok Shop, its affiliate program for content creators, and provides a step-by-step guide on how to create a TikTok Shop. The strategy involves…
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 OpenAI with 48%. The index highlights the need for greater transparency in AI solutions and helps organizations make informed…
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 capability, human interaction, and systemic impacts. There are three main gaps in safety evaluations: context, specific risks, and multimodality.…
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, and transformers. These articles provide accessible and actionable information for readers, whether they are beginners or experienced professionals. Additional…