​[[{“value”:” Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos. Pose estimation has real-world applications in sports, robotics, security, augmented reality, media and entertainment, medical applications, and more. Pose estimation… Read More »Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth Arthur Putnam AWS Machine Learning Blog

​[[{“value”:” In recent years, notable advancements in the design and training of deep learning models have led to significant improvements in image recognition performance, particularly on large-scale datasets. Fine-Grained Image Recognition (FGIR) represents a specialized domain focusing on the detailed recognition of subcategories within broader… Read More »Meet Hawkeye: A Unified Deep Learning-based Fine-Grained Image Recognition Toolbox Built on PyTorch Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and… Read More »Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock Ravikiran Rao AWS Machine Learning Blog

​[[{“value”:” The study diverges from previous approaches by concentrating on aligning long context, specifically by fine-tuning language models to interpret lengthy user prompts. Challenges include the absence of extensive datasets for supervised fine-tuning, difficulties in handling varied length distributions efficiently across multiple GPUs, and the… Read More »This AI Paper Proposes LongAlign: A Recipe of the Instruction Data, Training, and Evaluation for Long Context Alignment Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” View synthesis, integral to computer vision and graphics, enables scene re-rendering from diverse perspectives akin to human vision. It aids in tasks like object manipulation and navigation while fostering creativity. Early neural 3D representation learning primarily optimized 3D data directly, aiming to enhance view… Read More »Meet EscherNet: A Multi-View Conditioned Diffusion Model for View Synthesis Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the annals of computational history, the journey from the initial mechanical calculators to Turing Complete machines has been revolutionary. While impressive, early computing devices, such as Babbage’s Difference Engine and the Harvard Mark I, lacked the Turing Completeness—a concept defining systems capable of… Read More »This AI Paper Presents Find+Replace Transformers: A Family of Multi-Transformer Architectures that can Provably do Things no Single Transformer can and which Outperform GPT-4 on Several Tasks Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker,… Read More »How the Ohio Supercomputer Center Drives the Future of Computing Kristen Yee – Archives Page 1 | NVIDIA Blog

​[[{“value”:” The exploration of augmenting large language models (LLMs) with the capability to understand and process audio, including non-speech sounds and non-verbal speech, is a burgeoning field. This area of research aims to extend the applicability of LLMs from interactive voice-responsive systems to sophisticated audio… Read More »NVIDIA Researchers Introduce Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing models capable of understanding and generating sequences has become a cornerstone of progress. Among these, transformers have emerged as the gold standard, celebrated for their ability to capture the intricacies of language and other sequential data with unparalleled precision. This prominence is set… Read More »Transformers vs. Generalized State Space Models: Unveiling the Efficiency and Limitations in Sequence Modeling Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Personalized image generation is the process of generating images of certain personal objects in different user-specified contexts. For example, one may want to visualize the different ways their pet dog would look in different scenarios. Apart from personal experiences, this method also has use… Read More »Salesforce AI Researchers Propose BootPIG: A Novel Architecture that Allows a User to Provide Reference Images of an Object in Order to Guide the Appearance of a Concept in the Generated Images Asif Razzaq Artificial Intelligence Category – MarkTechPost