​ The problem of achieving superior performance in robotic task planning has been addressed by researchers from Tsinghua University, Shanghai Artificial Intelligence Laboratory, and Shanghai Qi Zhi Institute by introducing Vision-Language Planning (VILA). VILA integrates vision and language understanding, using GPT-4V to encode profound semantic… Read More »How do You Unveil the Power of GPT-4V in Robotic Vision-Language Planning? Meet ViLa: A Simple and Effective AI Method that Harnesses GPT-4V for Long-Horizon Robotic Task Planning Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Speech-to-speech translation (S2ST) has been a transformative technology in breaking down language barriers, but the scarcity of parallel speech data has hindered its progress. Most existing models require supervised settings and struggle with learning translation and speech attribute reconstruction from synthesized training data. In… Read More »Google AI Research Present Translatotron 3: A Novel Unsupervised Speech-to-Speech Translation Architecture Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Human posture is crucial in overall health, well-being, and various aspects of life. It encompasses the alignment and positioning of the body while sitting, standing, or lying down. Good posture supports the optimal alignment of muscles, joints, and ligaments, reducing the risk of muscular… Read More »Max Planck Researchers Introduce PoseGPT: An Artificial Intelligence Framework Employing Large Language Models (LLMs) to Understand and Reason about 3D Human Poses from Images or Textual Descriptions Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​Posted by Malaya Jules, Program Manager, Google Google is proud to be a Diamond Sponsor of Empirical Methods in Natural Language Processing (EMNLP 2023), a premier annual conference, which is being held this week in Sentosa, Singapore. Google has a strong presence at this year’s… Read More »Google at EMNLP 2023 Google AI Google AI Blog

​ Machine learning has emerged as a very important tool in healthcare, revolutionizing various aspects of the industry. One of its primary applications lies in diagnostics, where machine learning algorithms analyze vast datasets, including medical images, genetic information, and patient records, to identify patterns and… Read More »Researchers from the University of Geneva Investigate a Graph-based Machine Learning Model to Predict Risks of Inpatient Colonization by Multidrug-Resistant (MDR) Enterobacteriaceae Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. The aim is to enable upper layers to capture long-term… Read More »Researchers from Shanghai Artificial Intelligence Laboratory and MIT Unveil Hierarchically Gated Recurrent Neural Network RNN: A New Frontier in Efficient Long-Term Dependency Modeling Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate and understand their environment. Geometric mapping is the main emphasis of traditional SLAM systems, which produce precise but aesthetically basic… Read More »This AI Research Unveils Photo-SLAM: Elevating Real-Time Photorealistic Mapping on Portable Devices Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Posted by the TensorFlow team We are releasing a hot-fix for an installation issue affecting the TensorFlow installation process. The TensorFlow 2.15.0 Python package was released such that it requested tensorrt-related packages that cannot be found unless the user installs them beforehand or provides… Read More »TensorFlow 2.15 update: hot-fix for Linux installation issue noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters.… Read More »Enable faster training with Amazon SageMaker data parallel library Apoorv Gupta AWS Machine Learning Blog

​ Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed… Read More »Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra Amit Chaudhary AWS Machine Learning Blog