Valiant TMS saves 17% on Cycle Time w/Realtime Robotics Optimization
Momentum for Realtime Robotics’ Optimization-as-a-Service Solution Continues, as Industry Leaders Use It to Identify and Eliminate Production Bottlenecks Realtime Robotics, the leader in collision-free autonomous motion planning for industrial robots, today…
Meet DeepSeek LLMs: A Series of Open-Source AI Models Trained from Scratch on a Vast Dataset of 2 Trillion Tokens in both English and Chinese
With the quick advancements in Artificial Intelligence, Large Language Models (LLMs) are improving daily with every new research. These models perform self-supervised pre-training on large datasets, making them capable of…
Meta and UC Berkeley Researchers Present Audio2Photoreal: An Artificial Intelligence Framework for Generating Full-Bodied Photorealistic Avatars that Gesture According to the Conversational Dynamics
Avatar technology has become ubiquitous in platforms like Snapchat, Instagram, and video games, enhancing user engagement by replicating human actions and emotions. However, the quest for a more immersive experience…
DeepMind Research Develops AutoRT: Transforming Robotic Learning Through AI-Driven Task Execution in Real-World Environments
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…
This AI Paper Unveils How Multilingual Instruction-Tuning Boosts Cross-Lingual Understanding in Large Language Models
The optimization of large language models (LLMs) for multilingual instruction-following stands as a significant area of research. These models, fundamental in processing various human languages, have seen a surge in…
FineMoGen: A Diffusion-based and LLM-Augmented Framework that Generates Fine-Grained Motion with Spatial-Temporal Prompt
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…
This AI Paper from NVIDIA Unveils ‘Incremental FastPitch’: Revolutionizing Real-Time Speech Synthesis with Lower Latency and High Quality
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…
Meet DeepAIR: A Deep Learning Framework Integrating Sequence and 3D Structure for Advanced Adaptive Immune Receptor Analysis
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…
Noodle.ai names Stephen R. Collins as Chief Executive Officer
Succeeds Stephen Pratt who will Remain on the Board and Serve as a Senior Strategic Advisor Company Announces $10 Million Funding Round Led by Current Investors TPG and Dell Technologies…
Can large language models identify and correct their mistakes?
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…