​Posted by Eliya Nachmani, Research Scientist, and Michelle Tadmor Ramanovich, Software Engineer, Google Research Speech-to-speech translation (S2ST) is a type of machine translation that converts spoken language from one language to another. This technology has the potential to break down language barriers and facilitate communication… Read More »Unsupervised speech-to-speech translation from monolingual data Google AI Google AI Blog

​ Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. As we continue to innovate to increase data science productivity, we’re excited to announce the improved SageMaker Studio experience,… Read More »Experience the new and improved Amazon SageMaker Studio Mair Hasco AWS Machine Learning Blog

​ As organizations scale the adoption of machine learning (ML), they are looking for efficient and reliable ways to deploy new infrastructure and onboard teams to ML environments. One of the challenges is setting up authentication and fine-grained permissions for users based on their roles… Read More »Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker Ozan Eken AWS Machine Learning Blog

​ Big vision-language models, or LVLMs, can interpret visual cues and provide easy replies for users to interact with. This is accomplished by skillfully fusing large language models (LLMs) with large-scale visual instruction finetuning. Nevertheless, LVLMs only need hand-crafted or LLM-generated datasets for alignment by… Read More »Meet ‘DRESS’: A Large Vision Language Model (LVLM) that Align and Interact with Humans via Natural Language Feedback Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ As technology inches closer to replicating human emotions within androids, a profound examination of the mechanical intricacies of genuine human facial expressions has emerged, propelling the fusion of science fiction into reality. Researchers at Osaka University have embarked on a groundbreaking study, meticulously mapping… Read More »A New AI Research from Japan Examines the Mechanical Properties of Human Facial Expressions to Understand How Androids Can More Effectively Recognize Emotions Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Computer vision, NLP, and other domains have seen remarkable success with deep machine learning (ML) approaches based on deep neural networks (NNs). However, the long-standing problem of interpretability vs efficiency presents several formidable obstacles. The ability to question, comprehend, and trust deep ML approaches… Read More »Researchers Study Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Google has again raised the bar with its latest innovation, Duet AI. This powerful addition to the G-Suite family introduces many mind-blowing features designed to enhance productivity and streamline tasks across Sheets, Meet, Slides, Docs, and Gmail. Let’s delve into these five game-changing functionalities… Read More »5 Google Duet AI’s Mind-Blowing Features You Don’t Want to Miss in G-Suite Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The application of foundational models in single-cell biology has been a recent topic of discussion among researchers. Models like scGPT, GeneCompass, and Geneformer are some of the promising tools for this field. However, their efficacy has been a point of concern, particularly in zero-shot… Read More »Exploring the Frontiers of AI in Single-Cell Biology: A Critical Evaluation of Zero-Shot Foundation Models like Geneformer and scGPT Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ This research delves into a pressing concern within pathology – the significant carbon dioxide equivalent (CO2eq) emissions associated with integrating deep learning. This environmental impact poses a potential obstacle to the widespread adoption of deep learning in medical applications, prompting an urgent need for… Read More »Balancing Innovation and Sustainability: A Pragmatic Approach to Environmental Responsibility in Deep Learning for Pathology Madhur Garg Artificial Intelligence Category – MarkTechPost

​ The development of commercial mixed reality platforms and the quick advancement of 3D graphics technology have made the creation of high-quality 3D scenes one of the main challenges in computer vision. This calls for the capacity to convert any input text, RGB, and RGBD… Read More »Researchers from Seoul National University Introduce LucidDreamer: A Groundbreaking AI Approach to Domain-Free 3D Scene Generation in VR Using Diffusion-Based Modeling Aneesh Tickoo Artificial Intelligence Category – MarkTechPost