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Author: Madhur Garg

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Tsinghua University Researchers Introduce OpenChat: A Novel Artificial Intelligence AI Framework Enhancing Open-Source Language Models with Mixed-Quality Data

Madhur Garg September 27, 2023

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Microsoft Researchers Propose Neural Graphical Models (NGMs): A New Type of Probabilistic Graphical Models (PGM) that Learns to Represent the Probability Function Over the Domain Using a Deep Neural Network

Madhur Garg September 26, 2023

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Deci AI Unveils DeciDiffusion 1.0: A 820 Million Parameter Text-to-Image Latent Diffusion Model and 3x the Speed of Stable Diffusion

Madhur Garg September 24, 2023

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Researchers from Seoul National University Introduces Locomotion-Action-Manipulation (LAMA): A Breakthrough AI Method for Efficient and Adaptable Robot Control

Madhur Garg September 23, 2023

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CMU Researchers Propose Test-Time Adaptation with Slot-Centric Models (Slot-TTA): A Semi-Supervised Model Equipped with a Slot-Centric Bottleneck that Jointly Segments and Reconstructs Scenes

Madhur Garg September 19, 2023

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Meet Würstchen: A Super Fast and Efficient Diffusion Model Whose Text-Conditional Component Works in a Highly Compressed Latent Space of Image

Madhur Garg September 17, 2023

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Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages

Madhur Garg September 14, 2023

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Can Low-Cost Quadrupedal Robots Master Parkour? Unveiling a Revolutionary Learning System for Agile Robotic Movement

Madhur Garg September 13, 2023

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Princeton Researchers Propose CoALA: A Conceptual AI Framework to Systematically Understand and Build Language Agents

Madhur Garg September 11, 2023

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Meet Falcon 180B: The Largest Openly Available Language Model With 180 Billion Parameters

Madhur Garg September 9, 2023

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Meet SMPLitex: A Generative AI Model and Dataset for 3D Human Texture Estimation from Single Image

Madhur Garg September 6, 2023

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This AI Research Unveils ComCLIP: A Training-Free Method in Compositional Image and Text Alignment

Madhur Garg September 6, 2023

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Meta AI’s Two New Endeavors for Fairness in Computer Vision: Introducing License for DINOv2 and Releasing FACET

Madhur Garg September 3, 2023

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Unlocking the Black Box: A Quantitative Law for Understanding Data Processing in Deep Neural Networks

Madhur Garg September 1, 2023

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Computer Scientists from the University of Massachusetts Amherst Developed Scalene: An Open-Source AI Tool for Dramatically Speeding Up Python Programming

Madhur Garg August 31, 2023

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This New AI Research Advances Protein Structure Analysis By Integrating Pre-trained Protein Language Models into Geometric Deep Learning Networks

Madhur Garg August 29, 2023

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Deci Introduces DeciCoder: An Open-Source 1B-Parameter Large Language Model For Code Generation

Madhur Garg August 25, 2023

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Hugging Face Introduces IDEFICS: Pioneering Open Multimodal Conversational AI with Visual Language Models

Madhur Garg August 24, 2023

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AI2 Unveils Dolma: A 3 Trillion Token Corpus Pioneering Transparency in Language Model Research

Madhur Garg August 23, 2023

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Together AI Unveils Llama-2-7B-32K-Instruct: A Breakthrough in Extended-Context Language Processing

Madhur Garg August 22, 2023

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Diffusion Transformers (DiTs) for Unprecedented Architectural Innovation: Transforming Image Generation with Transformer-Based Diffusion Models

Madhur Garg August 17, 2023

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Meet JEN-1: A Universal AI Framework that Combines Bi-Directional and Uni-Directional Modes to Generate High-Quality Music Conditioned on Either Text or Music Representations

Madhur Garg August 16, 2023

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DeepMind Researchers Introduce AlphaStar Unplugged: A Leap Forward in Large-Scale Offline Reinforcement Learning by Mastering the Real-Time Strategy Game StarCraft II

Madhur Garg August 15, 2023

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Salesforce Researchers Introduce XGen-Image-1: A Text-To-Image Latent Diffusion Model Trained To Re-Use Several Pretrained Components

Madhur Garg August 13, 2023

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Google Unveils Project IDX: Revolutionizing Multi-platform App Development with AI-Powered Browser-Based Innovation

Madhur Garg August 10, 2023

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UCLA Researchers Introduce GedankenNet: A Self-Supervised AI Model That Learns From Physics Laws and Thought Experiments Advancing Computational Imaging

Madhur Garg August 9, 2023

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Meet BeLFusion: A Behavioral Latent Space Approach for Realistic and Diverse Stochastic Human Motion Prediction Using Latent Diffusion

Madhur Garg August 4, 2023

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Automated Deception Detection: Tokyo University Researchers Utilize Facial Expressions and Pulse Rates to Unmask Deception through Machine Learning

Madhur Garg August 2, 2023

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Breaking Barriers in Source-Free Domain Adaptation: NOTELA’s Impact on Bioacoustics and Vision Domains

Madhur Garg July 28, 2023

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Meet Co-BioNet: Monash University’s Adversarial AI System Revolutionizing Medical Image Analysis, Enhancing Accuracy Without Extensive Human Annotations

Madhur Garg July 27, 2023

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