​ Anagrams are images that change their appearance when you look at them from different angles or flip them around.  Creating such illusions usually involves understanding and then tricking our visual perception. However, a new approach has emerged, offering a simple and effective way to… Read More »Creating Multi-View Optical Illusions with Machine Learning: Exploring Zero-Shot Methods for Dynamic Image Transformation Niharika Singh Artificial Intelligence Category – MarkTechPost

​ An object is considered typical if it resembles other items in its category. For instance, a penguin is an unusual bird, yet a dove and a sparrow are normal birds. Several cognitive science studies imply that typicality is essential to category knowledge. Humans, for… Read More »Enhancing Machine Learning Reliability: How Atypicality Improves Model Performance and Uncertainty Quantification Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In a groundbreaking move, researchers at Meta AI have tackled the longstanding challenge of achieving high-fidelity relighting for dynamic 3D head avatars. Traditional methods have often needed to catch up when capturing the intricate details of facial expressions, especially in real-time applications where efficiency… Read More »Meta AI Introduces Relightable Gaussian Codec Avatars: An Artificial Intelligence Method to Build High-Fidelity Relightable Head Avatars that can be Animated to Generate Novel Expressions Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents ML Days in Tashkent — Day 2: Sprints and Sessions Kicking Off with a Keynote Sprints and Sessions: A Showcase of Innovation Community Focus: Training and Building AI/ML Ecosystems Martin Gorner on Keras: Evolution and Future Mark McDonald on PaLM… Read More »ML Days in Tashkent — Day 2: Sprints and Sessions Aritra Roy Gosthipaty and Ritwik Raha PyImageSearch

​ Creating art like beautiful images and impressive essays in generative AI often leaves users with little control. Some tools generate music but often need more fine-tuned control than composers crave. You can’t guide the process; you must take what you get.  Anticipatory Music Transformer is… Read More »Stanford Researchers Introduce the Anticipatory Music Transformer: A Groundbreaking AI Tool for Enhanced Creative Control in Music Composition Niharika Singh Artificial Intelligence Category – MarkTechPost

​ With the growing number of advancements in Artificial Intelligence, the fields of Natural Language Processing, Natural Language Generation, and Computer Vision have gained massive popularity recently, all thanks to the introduction of Large Language Models (LLMs). Diffusion models, which have proven to be successful… Read More »How Do Schrodinger Bridges Beat Diffusion Models On Text-To-Speech (TTS) Synthesis? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Audio plays an important role in the field of media and entertainment. It influences everything from movies and podcasts to audiobooks and video games. However, producing top-quality audio demands extensive sound libraries and profound domain expertise.  Consequently, Meta-researchers have formulated a new AI model… Read More »Meet Audiobox: A New Meta AI’s Foundation Research Model for Audio Generation Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ Reinforcement Learning (RL) is a subfield of Machine Learning in which an agent takes suitable actions to maximize its rewards. In reinforcement learning, the model learns from its experiences and identifies the optimal actions that lead to the best rewards. In recent years, RL… Read More »Meta AI Researchers Open-Source Pearl: A Production-Ready Reinforcement Learning AI Agent Library Arham Islam Artificial Intelligence Category – MarkTechPost

​ Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining, which teaches models to forecast the most likely tokens in a sequence, is… Read More »Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by introducing CHOIS. The system operates based on sparse object waypoints, an initial state of things and humans, and… Read More »Researchers from Stanford University and FAIR Meta Unveil CHOIS: A Groundbreaking AI Method for Synthesizing Realistic 3D Human-Object Interactions Guided by Language Adnan Hassan Artificial Intelligence Category – MarkTechPost