​ Google Deepmind has introduced a system, AutoRT, that utilizes existing foundation models to enhance the deployment of operational robots in unseen scenarios with minimal human supervision. It addresses the challenge of training embodied foundation models for robots, highlighting the limitation of insufficient data grounded… Read More »DeepMind Research Develops AutoRT: Transforming Robotic Learning Through AI-Driven Task Execution in Real-World Environments Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Motion generation is a dynamic and challenging domain within computer vision dedicated to creating realistic human actions in digital environments. Its applications span animation, virtual reality, and interactive media, enabling the production of lifelike, human-centric animations. However, generating complex human motions, particularly those aligned… Read More »FineMoGen: A Diffusion-based and LLM-Augmented Framework that Generates Fine-Grained Motion with Spatial-Temporal Prompt Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Studying how our immune system identifies and fights off infections and diseases has always been challenging for scientists. One fundamental process in this intricate system involves the interaction between adaptive immune receptors (AIRs) like T cell receptors (TCRs) and B cell receptors (BCRs) with… Read More »Meet DeepAIR: A Deep Learning Framework Integrating Sequence and 3D Structure for Advanced Adaptive Immune Receptor Analysis Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Parallel Text-to-Speech (TTS) models are commonly used for on-the-fly speech synthesis, providing enhanced control and faster synthesis than traditional auto-regressive models. Despite their advantages, parallel models, particularly those based on transformer architecture, face challenges regarding incremental synthesis. This limitation arises from their fully parallel… Read More »This AI Paper from NVIDIA Unveils ‘Incremental FastPitch’: Revolutionizing Real-Time Speech Synthesis with Lower Latency and High Quality Sana Hassan Artificial Intelligence Category – MarkTechPost

​Posted by Gladys Tyen, Intern, Google Research LLMs are increasingly popular for reasoning tasks, such as multi-turn QA, task completion, code generation, or mathematics. Yet much like people, they do not always solve problems correctly on the first try, especially on tasks for which they… Read More »Can large language models identify and correct their mistakes? Google AI Google AI Blog

​ The fusion of deep learning with the resolution of partial differential equations (PDEs) marks a significant leap forward in computational science. PDEs are the backbone of myriad scientific and engineering challenges, offering crucial insights into phenomena as diverse as quantum mechanics and climate modeling.… Read More »Researchers from UT Austin Propose a New Machine Learning Approach to Generating Synthetic Functional Training Data that does not Require Solving a PDE (partial Differential Equations) Numerically Sana Hassan Artificial Intelligence Category – MarkTechPost

​ The PGA TOUR continues to enhance the golf experience with real-time data that brings fans closer to the game. To deliver even richer experiences, they are pursuing the development of a next-generation ball position tracking system that automatically tracks the position of the ball… Read More »Ball position tracking in the cloud with the PGA TOUR James Golden AWS Machine Learning Blog

​ The financial services industry is undergoing a significant transformation with the adoption of AI technologies. NVIDIA’s fourth annual State of AI in Financial Services Report provides insights into the current landscape and emerging trends for 2024. The report reveals that an overwhelming 91% of… Read More »AI Takes Center Stage: Survey Reveals Financial Industry’s Top Trends for 2024 Kevin Levitt – Archives Page 1 | NVIDIA Blog

​ The Colossal-AI team has open-sourced Swiftlnfer, a TensorRT-based implementation of the StreamingLLM algorithm. The StreamingLLM algorithm addresses the challenge faced by Large Language Models (LLMs) in handling multi-round conversations. It focuses on the limitations posed by input length and GPU memory constraints. The existing… Read More »Colossal-AI Team Open-Sources SwiftInfer: A TensorRT-Based Implementation of the StreamingLLM Algorithm Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ The existing 2D image editing methods face a substantial amount of limitations as they heavily rely on textual instructions, leading to ambiguity and restricted control. This confined nature of these methods within 2D spaces hinders the direct manipulation of object geometry, resulting in imprecise… Read More »NYU and Intel Researchers Introduce Image Sculpting: A New Artificial Intelligence Framework for Editing 2D Images by Incorporating Tools from 3D Geometry and Graphics Nikhil Artificial Intelligence Category – MarkTechPost