​ Research focuses on categorizing human facial images by emotions through facial expression recognition (FER) using powerful deep neural networks (DNNs). However, accurately classifying unlearned input, particularly non-face images, remains challenging. Open-set recognition (OSR) in FER addresses this by distinguishing between facial and non-face images,… Read More »How Can We Efficiently Distinguish Facial Images Without Reconstruction? Check Out This Novel AI Approach Leveraging Emotion Matching in FER Datasets Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Over recent years, there has been remarkable progress in computer vision methodologies dedicated to reconstructing and illustrating static 3D scenes by leveraging neural radiance fields (NeRFs). Emerging approaches have tried to extend this capability to dynamic scenes by introducing space-time neural radiance fields, commonly… Read More »Google AI and Cornell Researchers Introduce DynIBaR: A New AI Method that Generates Photorealistic Free-Viewpoint Renderings from a Single Video of a Complex and Dynamic Scene Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ With the continuous advancements in the field of Artificial Intelligence and Machine Learning, text-to-image generation and text-to-video generation have made significant developments. Text-to-video (T2V) generation goes beyond Text-to-image by producing brief movies, often with 16 frames at two frames per second, based on verbal… Read More »Can Large Language Models Revolutionize Multi-Scene Video Generation? Meet VideoDirectorGPT: The Future of Dynamic Text-to-Video Creation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced… Read More »Simplify medical image classification using Amazon SageMaker Canvas Ramakant Joshi AWS Machine Learning Blog

​ Healthcare and life sciences (HCLS) customers are adopting generative AI as a tool to get more from their data. Use cases include document summarization to help readers focus on key points of a document and transforming unstructured text into standardized formats to highlight important… Read More »Create an HCLS document summarization application with Falcon using Amazon SageMaker JumpStart John Kitaoka AWS Machine Learning Blog

​ Prior authorization is a crucial process in healthcare that involves the approval of medical treatments or procedures before they are carried out. This process is necessary to ensure that patients receive the right care and that healthcare providers are following the correct procedures. However,… Read More »Automate prior authorization using CRD with CDS Hooks and AWS HealthLake Manish Patel AWS Machine Learning Blog

​Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of… Read More »Scalable spherical CNNs for scientific applications Google AI Google AI Blog

​ Reward shaping, which seeks to develop reward functions that more effectively direct an agent towards desirable behaviors, is still a long-standing difficulty in reinforcement learning (RL). It is a time-consuming procedure that requires skill, might be sub-optimal, and is frequently done manually by constructing… Read More »Meet Text2Reward: A Data-Free Framework that Automates the Generation of Dense Reward Functions Based on Large Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In recent years, Diffusion Models (DMs) have made significant strides in the realm of image synthesis. This has led to a heightened focus on generating photorealistic images from text descriptions (T2I). Building upon the accomplishments of T2I models, there has been a growing interest… Read More »This Research Paper Introduces Lavie: High-Quality Video Generation with Cascaded Latent Diffusion Models Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ Medical practitioners and scientists have long leaned on imaging technologies like ultrasound and X-rays in the realm of disease diagnosis. Nevertheless, these methods face limitations in resolution and depth, contingent on the tissue being examined. Enter optoacoustic imaging, an innovative fusion of ultrasound and… Read More »This AI Paper Unveils a Deep-Learning Framework Called DeepMB for Real-Time Optoacoustic Image Reconstruction with Adjustable Speed of Sound Niharika Singh Artificial Intelligence Category – MarkTechPost