This AI Paper by NVIDIA Introduces NEST: A Fast and Efficient Self-Supervised Model for Speech Processing Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Speech processing focuses on developing systems to analyze, interpret, and generate human speech. These technologies encompass a range of applications, such as automatic speech recognition (ASR), speaker verification, speech-to-text translation, and speaker diarization. With the growing reliance on virtual assistants, transcription services, and multilingual… Read More »This AI Paper by NVIDIA Introduces NEST: A Fast and Efficient Self-Supervised Model for Speech Processing Nikhil Artificial Intelligence Category – MarkTechPost

Fish Audio Introduces Fish Speech 1.4: A Powerful, Open-Source Text-to-Speech Model with Multilingual Support, Instant Voice Cloning, and Lightning-Fast Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Fish Audio has officially launched Fish Speech 1.4, an advanced iteration of its powerful text-to-speech (TTS) model. With the release, Fish Audio aims to democratize cutting-edge voice technology by making it more accessible to developers, researchers, and businesses worldwide. The latest version of Fish… Read More »Fish Audio Introduces Fish Speech 1.4: A Powerful, Open-Source Text-to-Speech Model with Multilingual Support, Instant Voice Cloning, and Lightning-Fast Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” In our previous exploration of penalized regression models such as Lasso, Ridge, and ElasticNet, we demonstrated how effectively these models manage multicollinearity, allowing us to utilize a broader array of features to enhance model performance. Building on this foundation, we now address another crucial… Read More »Filling the Gaps: A Comparative Guide to Imputation Techniques in Machine Learning Vinod Chugani MachineLearningMastery.com

[[{“value”:” Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve… Read More »Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart Supriya Puragundla AWS Machine Learning Blog

[[{“value”:” Llama 3, Meta’s latest large language model (LLM), has taken the artificial intelligence (AI) world by storm with its impressive capabilities. As developers and businesses explore the potential of this powerful model, crafting effective prompts is key to unlocking its full potential. In this… Read More »Best prompting practices for using Meta Llama 3 with Amazon SageMaker JumpStart Sebastian Bustillo AWS Machine Learning Blog

[[{“value”:” Recent advancements in sparse-view 3D reconstruction have focused on novel view synthesis and scene representation techniques. Methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have shown significant success in accurately reconstructing complex real-world scenes. Researchers have proposed various enhancements to improve… Read More »Enhancing Sparse-view 3D Reconstruction with LM-Gaussian: Leveraging Large Model Priors for High-Quality Scene Synthesis from Limited Images Shoaib Nazir Artificial Intelligence Category – MarkTechPost

[[{“value”:” Classical randomness has emerged as an important tool in addressing the challenge of designing quantum protocols and algorithms. Current methods for calibrating and evaluating quantum gates, like randomized benchmarking, depend heavily on classical randomness. Many researchers are exploring ways to incorporate classical randomness to… Read More »MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2 Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Many health insurance plan beneficiaries find it challenging to navigate through the complex member portals provided by their insurance plans. These portals often… Read More »How healthcare payers and plans can empower members with generative AI Sachin Jain AWS Machine Learning Blog

[[{“value”:” Constructing Knowledge Graphs (KGs) from unstructured data is a complex task due to the difficulties of extracting and structuring meaningful information from raw text. Unstructured data often contains unresolved or duplicated entities and inconsistent relationships, which complicates its transformation into a coherent knowledge graph.… Read More »How Can We Convert Unstructured Text into Actionable Knowledge? This AI Paper Unveils iText2KG for Incremental Knowledge Graphs Construction Using Large Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. In what we consider “Act 1” of the generative AI story, we saw previously unimaginable amounts of… Read More »Enabling production-grade generative AI: New capabilities lower costs, streamline production, and boost security Baskar Sridharan AWS Machine Learning Blog