​ The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration framework developed by researchers from the KAIST. This method has surpassed previous success rates and improved loop closing accuracy and efficiency through ground segmentation.… Read More »KAIST Researchers Introduce Quatro++: A Robust Global Registration Framework Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model. This innovative approach… Read More »This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation Madhur Garg Artificial Intelligence Category – MarkTechPost

​ The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, building ML models requires significant time, effort, and specialized expertise. From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML… Read More »Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning Chida Sadayappan AWS Machine Learning Blog

​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