​[[{“value”:” The quest to refine large language models (LLMs) capabilities is a pivotal challenge in artificial intelligence. These digital behemoths, repositories of vast knowledge, face a significant hurdle: staying current and accurate. Traditional methods of updating LLMs, such as retraining or fine-tuning, are resource-intensive and… Read More »This AI Paper from IBM and Princeton Presents Larimar: A Novel and Brain-Inspired Machine Learning Architecture for Enhancing LLMs with a Distributed Episodic Memory Adnan Hassan Artificial Intelligence Category – MarkTechPost

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As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a writer’s block settling into the field when it comes to dealing with large images. Large images are no longer rare—the cameras we carry in our pockets and those orbiting our planet snap pictures so big and detailed that they stretch our current best models and hardware to their breaking points when handling them. Generally, we face a quadratic increase in memory usage as a function of image size.

Today, we make one of two sub-optimal choices when handling large images: down-sampling or cropping. These two methods incur significant losses in the amount of information and context present in an image. We take another look at these approaches and introduce $x$T, a new framework to model large images end-to-end on contemporary GPUs while effectively aggregating global context with local details.

Architecture for the $x$T framework.

Read More »Modeling Extremely Large Images with xT The Berkeley Artificial Intelligence Research Blog

​[[{“value”:”

As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a writer’s block settling into the field when it comes to dealing with large images. Large images are no longer rare—the cameras we carry in our pockets and those orbiting our planet snap pictures so big and detailed that they stretch our current best models and hardware to their breaking points when handling them. Generally, we face a quadratic increase in memory usage as a function of image size.

Today, we make one of two sub-optimal choices when handling large images: down-sampling or cropping. These two methods incur significant losses in the amount of information and context present in an image. We take another look at these approaches and introduce $x$T, a new framework to model large images end-to-end on contemporary GPUs while effectively aggregating global context with local details.

Architecture for the $x$T framework.

Read More »Modeling Extremely Large Images with xT The Berkeley Artificial Intelligence Research Blog

​[[{“value”:” While humans can easily infer the shape of an object from 2D images, computers struggle to reconstruct accurate 3D models without knowledge of the camera poses. This problem, known as pose inference, is crucial for various applications, like creating 3D models for e-commerce and… Read More »Researchers from Stanford and Google AI Introduce MELON: An AI Technique that can Determine Object-Centric Camera Poses Entirely from Scratch while Reconstructing the Object in 3D Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In digital imagery, the quest to synthesize high-resolution images with impeccable quality has spurred continuous innovation. Although effective within their designed scope, traditional approaches encounter significant hurdles when generating images that transcend their native resolution boundaries. This challenge is characterized by the emergence of… Read More »FouriScale: A Novel AI Approach that Enhances the Generation of High Resolution Images from Pre-Trained Diffusion Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Health equity is a pressing global concern characterized by persistent and widening health disparities. These disparities, rooted in multifaceted barriers across society, include limited access to healthcare, differential clinical treatment, and variations in diagnostic effectiveness. The integration of artificial intelligence (AI) into clinical decision-making… Read More »Google Health Researchers Propose HEAL: A Methodology to Quantitatively Assess whether Machine Learning-based Health Technologies Perform Equitably Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the evolving landscape of computer vision, the quest for models that adeptly navigate the tightrope between high accuracy and low computational cost has led to significant strides. The field has oscillated between Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with unique strengths… Read More »This AI Paper from The University of Sydney Proposes EfficientVMamba: Bridging Accuracy and Efficiency in Lightweight Visual State Space Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving field of artificial intelligence (AI), breakthroughs are announced so frequently that it’s becoming increasingly difficult for innovations to stand out. Yet, every so often, a development comes along that captures the industry’s attention and promises to redefine the benchmarks of… Read More »Contextual AI Announces RAG 2.0: Pioneering Advanced Contextual Understanding in Artificial Intelligence Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The landscape of generative modeling has witnessed significant strides, propelled largely by the evolution of diffusion models. These sophisticated algorithms, renowned for their image and video synthesis prowess, have marked a new era in AI-driven creativity. However, their efficacy hinges upon the availability of… Read More »VideoElevator: A Training-Free and Plug-and-Play AI Method that Enhances the Quality of Synthesized Videos with Versatile Text-to-Image Diffusion Models Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the realm of artificial intelligence and music, a new player has emerged that’s catching the ears and imagination of users around the globe: Suno, a ChatGPT-powered chatbot designed to generate original songs from simple text prompts. Launched into open beta in July 2023,… Read More »Meet Suno AI: The ChatGPT-Powered Chatbot Changing How We Create Music Shobha Kakkar Artificial Intelligence Category – MarkTechPost