​ Companies increasingly rely on user-generated images and videos for engagement. From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy. However, it can be challenging to ensure… Read More »Announcing Rekogniton Custom Moderation: Enhance accuracy of pre-trained Rekognition moderation models with your data Lana Zhang AWS Machine Learning Blog

​ Quantum computing is often heralded for its potential to revolutionize problem-solving, especially when classical computers face substantial limitations. While much of the discussion has revolved around theoretical advantages in asymptotic scaling, it is crucial to identify practical applications for quantum computers in finite-sized problems.… Read More »Can We Generate Hyper-Realistic Human Images? This AI Paper Presents HyperHuman: A Leap Forward in Text-to-Image Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Training generative AI models just got easier. NVIDIA DGX Cloud AI supercomputing platform and NVIDIA AI Enterprise software are now available in Oracle Cloud Marketplace, making it possible for Oracle Cloud Infrastructure customers to access high-performance accelerated computing and software to run secure, stable… Read More »NVIDIA AI Now Available in Oracle Cloud Marketplace Charlie Boyle – Archives Page 1 | NVIDIA Blog

​ Posted by Surya Kanoria, Joseph Cauteruccio, Federico Tomasi, Kamil Ciosek, Matteo Rinaldi, and Zhenwen Dai – Spotify Introduction Many of our music recommendation problems involve providing users with ordered sets of items that satisfy users’ listening preferences and intent at that point in time.… Read More »Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ High-resolution imagery is very prevalent in today’s world, from satellite imagery to drones and DLSR cameras. From this imagery, we can capture damage due to natural disasters, anomalies in manufacturing equipment, or very small defects such as defects on printed circuit boards (PCBs) or… Read More »Defect detection in high-resolution imagery using two-stage Amazon Rekognition Custom Labels models Andreas Karagounis AWS Machine Learning Blog

​ Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). To ensure customer privacy and… Read More »Automatically redact PII for machine learning using Amazon SageMaker Data Wrangler Tricia Jamison AWS Machine Learning Blog

​ Sequential decision-making problems are undergoing a major transition due to the paradigm shift brought about by the introduction of foundation models. These models, such as transformer models, have completely changed a number of fields, including planning, control, and pre-trained visual representation. Despite these impressive… Read More »Researchers from Stanford, NVIDIA, and UT Austin Propose Cross-Episodic Curriculum (CEC): A New Artificial Intelligence Algorithm to Boost the Learning Efficiency and Generalization of Transformer Agents Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ M42 Health, based in Abu Dhabi, UAE, has just published Med42, a promising new open-access clinical large language model. The release of this 70 billion parameter model is a watershed moment in the effort to increase public access to advanced AI capabilities that can… Read More »M42 Introduces Med42: An Open-Access Clinical Large Language Model (LLM) to Expand Access to Medical Knowledge Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers from the National University of Singapore introduced Show-1, a hybrid model for text-to-video generation that combines the strengths of pixel-based and latent-based video diffusion models (VDMs). While pixel VDMs are computationally expensive and latent VDMs struggle with precise text-video alignment, Show-1 offers a… Read More »Researchers from the National University of Singapore propose Show-1: A Hybrid Artificial Intelligence Model that Marries Pixel-Based and Latent-Based VDMs for Text-to-Video Generation Adnan Hassan Artificial Intelligence Category – MarkTechPost