​ In computer vision, inferring detailed object shading from a single image has long been challenging. Prior approaches often rely on complex parametric or measured representations, making shading editing daunting. Researchers from Stanford University introduce a solution that utilizes shade tree representations, combining basic shading… Read More »Researchers at Stanford Present A Novel Artificial Intelligence Method that can Effectively and Efficiently Decompose Shading into a Tree-Structured Representation Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ A lot of research has gone into finding ways to represent big sets of connected data, like knowledge graphs. These methods are called Knowledge Graph Embeddings (KGE), and they help us use this data for various practical purposes in the real world.  Traditional methods… Read More »Meet Concept2Box: Bridging the Gap Between High-Level Concepts and Fine-Grained Entities in Knowledge Graphs – A Dual Geometric Approach Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ In computer vision and human-computer interaction, the critical task of face orientation estimation has emerged as a pivotal component with multifaceted applications. One particularly notable domain where this technology plays a vital role is in driver monitoring systems aimed at enhancing road safety. These… Read More »Researchers at the Shibaura Institute of Technology Revolutionize Face Direction Detection with Deep Learning: Navigating Challenges of Hidden Facial Features and Expanding Horizon Angles Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have… Read More »Improve prediction quality in custom classification models with Amazon Comprehend Sathya Balakrishnan AWS Machine Learning Blog

​ Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. These models can be used for question answering, summarization, translation, and more in applications such as conversational agents for customer support, content creation for… Read More »Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium Hao Zhou AWS Machine Learning Blog

​ Large Language Models (LLMs) have succeeded in several different reasoning tasks. To guarantee that the intended aim is met, it is sometimes required to iteratively adjust the LLM results because the output is only occasionally accurate on the first try. These refinement techniques assume… Read More »Researchers from ETH Zurich and Microsoft Introduce SCREWS: An Artificial Intelligence Framework for Enhancing the Reasoning in Large Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Multimodal AI is a field of Artificial Intelligence (AI) that combines various data types (modalities), such as text, image, video, audio, etc., to achieve better performances. Most traditional AI models are unimodal, i.e., they can process only one data type. They are trained, and… Read More »Latest Advancements in the Field of Multimodal AI: (ChatGPT + DALLE 3) + (Google BARD + Extensions) and many more…. Arham Islam Artificial Intelligence Category – MarkTechPost

​ In artificial intelligence, one of the fundamental challenges has been enabling machines to understand and generate human language in conjunction with various sensory inputs, such as images, videos, audio, and motion signals. This problem has significant implications for multiple applications, including human-computer interaction, content… Read More »Meta AI Introduces AnyMAL: The Future of Multimodal Language Models Bridging Text, Images, Videos, Audio, and Motion Sensor Data Madhur Garg Artificial Intelligence Category – MarkTechPost

​ In the rapidly evolving landscape of text-to-image (T2I) models, a new frontier is emerging with the introduction of GlueGen. T2I models have demonstrated impressive capabilities in generating images from text descriptions, but their rigidity in terms of modifying or enhancing their functionality has been… Read More »Salesforce AI Introduces GlueGen: Revolutionizing Text-to-Image Models with Efficient Encoder Upgrades and Multimodal Capabilities Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence (AI) algorithms known as large language models (LLMs) combine deep learning methods and enormous data sets to comprehend, summarize, produce, and anticipate fresh material. They are believed to internalize accurate and biased information and embodied knowledge of syntax, semantics, and “ontology” inherent… Read More »What are Large Language Models (LLMs) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost