​[[{“value”:” Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is… Read More »Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock Mani Khanuja AWS Machine Learning Blog

​[[{“value”:” Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered attention for their ability to produce high-quality images. Latent Diffusion… Read More »Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Earlier, with the adoption of computer vision, its studies weren’t content to only scan 2D arrays of flat “patterns.” Rather, they sought to understand images as projections of 3D scenes. Initially, researchers created several intermediate tasks to help with this pursuit. These included learning… Read More »Blink: A New Multimodal LLM Benchmark that Evaluates Core Visual Perception Abilities not Found in Existing Evaluations Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a recent study, a team of researchers from Google DeepMind explored the potential benefits of powerful Artificial Intelligence (AI) assistants as well as the threats to society and ethics. These assistants are characterized as artificial agents with natural language interfaces that are assigned… Read More »Researchers from Google DeepMind Releases a Study on the Ethics of Advanced Artificial Intelligence Assistants Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Have you ever wondered how complex phenomena like fluid flows, heat transfer, or even the formation of patterns in nature can be described mathematically? The answer lies in partial differential equations (PDEs), which are powerful tools used to model and understand intricate spatio-temporal processes… Read More »PROSE-PDE: A Foundation Model for Solving and Extrapolating Partial Differential Equations Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) stand out for their ability to parse and generate human-like text across various applications. These models have become integral to technologies that automate and enhance text-based tasks. Despite their advanced capabilities, modern LLMs face significant challenges in scenarios requiring intricate… Read More »Tencent AI Lab Developed AlphaLLM: A Novel Machine Learning Framework for Self-Improving Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid progression of Large Language Models (LLMs) is a pivotal milestone in the evolution of artificial intelligence. In recent years, we have witnessed a surge in the development and public accessibility of well-trained LLMs in English and other languages, including Japanese. This expansion… Read More »Japanese Heron-Bench: A Novel AI Benchmark for Evaluating Japanese Capabilities of Vision Language Models VLMs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative adversarial networks (GANs) are a popular tool for creating realistic data, but they often struggle with a problem called mode collapse. This happens when the variety of generated samples isn’t as diverse as real ones. Researchers have had trouble figuring out why this… Read More »DynGAN: A Machine Learning Framework that Detects Collapsed Samples in the Generator by Thresholding on Observable Discriminator Outputs Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, deep learning has been effective in high-performance computing. Surrogate models continue to advance, surpassing physics-based simulations in accuracy and utility. This AI-driven progress is evident in protein folding, exemplified by RoseTTAFold, AlphaFold2, OpenFold, and FastFold, democratizing protein structure-based drug discovery. AlphaFold,… Read More »NVIDIA AI Researchers Introduce ScaleFold: A Leap in High-Performance Computing for Protein Structure Prediction Mohammad Asjad Artificial Intelligence Category – MarkTechPost