​ One of the biggest obstacles facing automated speech recognition (ASR) systems is their inability to adapt to novel, unbounded domains. Audiovisual ASR (AV-ASR) is a technique for enhancing the accuracy of ASR systems in multimodal video, especially when the audio is loud. This feature… Read More »Exploring AVFormer: Google AI’s Innovative Approach to Augment Audio-Only Models with Visual Information & Streamlined Domain Adaptation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Powerful AI models may now be operated and interacted with via language commands, making them widely available and adaptable. Stable Diffusion, which transforms natural language into a picture, and ChatGPT, which can reply to messages written in natural language and carry out various tasks,… Read More »Meet STEVE-1: An Instructable Generative AI Model For Minecraft That Follows Both Text And Visual Instructions And Only Costs $60 To Train Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Training large language models (LLMs) with billions of parameters can be challenging. In addition to designing the model architecture, researchers need to set up state-of-the-art training techniques for distributed training like mixed precision support, gradient accumulation, and checkpointing. With large models, the training setup… Read More »Accelerate PyTorch with DeepSpeed to train large language models with Intel Habana Gaudi-based DL1 EC2 instances Mahadevan Balasubramaniam AWS Machine Learning Blog

​Posted by Thibault Sellam, Research Scientist, Google Previously, we presented the 1,000 languages initiative and the Universal Speech Model with the goal of making speech and language technologies available to billions of users around the world. Part of this commitment involves developing high-quality speech synthesis… Read More »Evaluating speech synthesis in many languages with SQuId Google AI Google AI Blog

​ You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas, thereby making it easier to constantly learn and improve the model performance and drive efficiency. An ML model’s effectiveness depends on the quality and… Read More »Retrain ML models and automate batch predictions in Amazon SageMaker Canvas using updated datasets Janisha Anand AWS Machine Learning Blog

​ Amazon Lex is excited to announce Test Workbench, a new bot testing solution that provides tools to simplify and automate the bot testing process. During bot development, testing is the phase where developers check whether a bot meets the specific requirements, needs and expectations… Read More »Expedite the Amazon Lex chatbot development lifecycle with Test Workbench Grazia Russo Lassner AWS Machine Learning Blog

​ Self-supervised learning is being prominently used in Artificial Intelligence to develop intelligent systems. The transformer models like BERT and T5 have recently got popular due to their excellent properties and have utilized the idea of self-supervision in Natural Language Processing tasks. These models are… Read More »This AI Paper Proposes A Self-Supervised Music Understanding Model Called MERT That Attains Overall SOTA Performance on 14 MIR Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In the latest episode of NVIDIA’s AI Podcast, Anant Agarwal, founder of edX and chief platform officer at 2U, shared his vision for the future of online education and how AI is revolutionizing the learning experience. Agarwal, a strong advocate for massive open online… Read More »Taking AI to School: A Conversation With MIT’s Anant Agarwal Brian Caulfield – Archives Page 1 | NVIDIA Blog

​ Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. Amazon Textract has a Tables feature within the AnalyzeDocument API that offers the ability to automatically extract tabular structures from any document. In this… Read More »Announcing enhanced table extractions with Amazon Textract Raj Pathak AWS Machine Learning Blog

​ Getting discharged from the hospital is a major milestone for patients — but sometimes, it’s not the end of their road to recovery. Nearly 15% of hospital patients in the U.S. are readmitted within 30 days of their initial discharge, which is often associated… Read More »NYU, NVIDIA Collaborate on Large Language Model to Predict Patient Readmission Anthony Costa – Archives Page 1 | NVIDIA Blog