​ The recent developments in the field of Artificial Intelligence, especially the introduction of Large Language Models, have paved the way for AI in almost every domain. Foundation models, such as ChatGPT and Stable Diffusion, have remarkable generalization potential. However, training these models from scratch… Read More »This AI Research Introduces BOFT: A New General Finetuning AI Method for the Adaptation of Foundation Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers from Nvidia introduce a neural radiance field formulation for view synthesis that efficiently transitions between volumetric and surface-based rendering. The method adapts the rendering process based on scene characteristics by constructing an explicit mesh envelope around a neural volumetric representation. The approach significantly… Read More »NVIDIA AI Researchers Present an Artificial Intelligence Approach for Efficiently Rendering NeRF by Restricting Volumetric Rendering to a Narrow Band Around the Object Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ The advent of deep learning has significantly influenced various fields, extending its impact across diverse domains. One notable application is its use in monitoring rare birds through their songs. Differentiating between birds by their songs has become more accessible due to the availability of… Read More »Meet ECOGEN: A Novel Deep Learning Approach Designed to Generate Realistic Bird Songs for Biologists and Ecologists Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Artificial Intelligence is stepping into almost every industry. Creating natural human movement from a story has the power to completely transform the animation, video game, and film industries. One of the most difficult tasks is Story-to-Motion, which arises when characters must move through different… Read More »SenseTime Research Propose Story-to-Motion: A New Artificial Intelligence Approach to Generate Human Motion and Trajectory from a Long Text Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Researchers from Stanford University and UNC Chapel Hill address the issue of factually inaccurate claims, known as hallucinations, produced by LLMs. Without human labeling, the researchers fine-tune LLMs to enhance factual accuracy in open-ended generation settings. Leveraging recent innovations in NLP, they employ methods… Read More »Stanford Researchers Innovate in Large Language Model Factuality: Automatic Preference Rankings and NLP Advancements for Error Reduction Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In the dynamic world of streaming on Amazon Music, every search for a song, podcast, or playlist holds a story, a mood, or a flood of emotions waiting to be unveiled. These searches serve as a gateway to new discoveries, cherished experiences, and lasting… Read More »How Amazon Music uses SageMaker with NVIDIA to optimize ML training and inference performance and cost Siddharth Sharma AWS Machine Learning Blog

​ This post is written in collaboration with Brad Duncan, Rachel Johnson and Richard Alcock from MathWorks. MATLAB  is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. It’s heavily used… Read More »Machine Learning with MATLAB and Amazon SageMaker Brad Duncan AWS Machine Learning Blog

​ Text vectors or embeddings are numerical vector representations of text that are generated by large language models (LLMs). After LLMs are fully pre-trained on a large dataset or fine-tuned from different tasks, including text completion, question answering, and translations, text embeddings capture semantic information… Read More »Text embedding and sentence similarity retrieval at scale with Amazon SageMaker JumpStart Baichuan Sun AWS Machine Learning Blog

​Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with visual impairments (e.g., blindness and low-vision) to walk, jog, and run independently. Using only a… Read More »Open sourcing Project Guideline: A platform for computer vision accessibility technology Google AI Google AI Blog

​ Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from… Read More »Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks Anjan Biswas AWS Machine Learning Blog