​ A fascinating field of study in artificial intelligence and computer vision is the creation of videos based on written descriptions. This innovative technology combines creativity and computation and has numerous potential applications, including film production, virtual reality, and automated content generation. The primary obstacle… Read More »This Paper Introduces TF-T2V: A Novel Text-to-Video Generation Framework with Impressive Scalability and Performance Improvements Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Understanding the current stress state of the Earth’s crust is imperative for various geological applications, ranging from carbon storage to fault reactivation studies. However, traditional methods face significant challenges, primarily due to the manual tuning of geomechanical properties and boundary conditions. The need for… Read More »Meet ML-SEISMIC: A Physics-Informed Deep Learning Approach for Mapping Australian Tectonic Stresses with Satellite Data Madhur Garg Artificial Intelligence Category – MarkTechPost

​ In artificial intelligence, researchers face a challenge—thoroughly understanding the strengths and weaknesses of autoregressive language models (LLMs). These models, which can generate human-like text, have become increasingly powerful, but evaluating them rigorously across various language tasks has become quite a task. Meet LM Evaluation… Read More »Meet LM Evaluation Harness: An Open-Source Machine Learning Framework that Allows Any Causal Language Model to be Tested on the Same Exact Inputs and Codebase Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Language models, particularly large ones, have become ubiquitous in AI applications, raising the need for models that align with human values and intentions. Traditionally, alignment has been approached through methods like learning from demonstrations, where human responses guide model fine-tuning, and learning from feedback,… Read More »Can Language Feedback Revolutionize AI Training? This Paper Introduces Contrastive Unlikelihood Training (CUT) Framework for Enhanced LLM Alignment Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. It is being widely used for sarcasm detection, too. However, Sarcasm detection is challenging because of the intricate relationships between the speaker’s true feelings and their… Read More »Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ The recent advancements in Artificial Intelligence have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters). With… Read More »Meet LLM Surgeon: A New Machine Learning Framework for Unstructured, Semi-Structured, and Structured Pruning of Large Language Models (LLMs) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and language modeling to healthcare, biology, and whatnot. A new area called Scientific Machine Learning (SciML), which combines classic modeling methods… Read More »This Paper Unravels the Mysteries of Operator Learning: A Comprehensive Mathematical Guide to Mastering Dynamical Systems and PDEs (Partial Differential Equation) through Neural Networks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ The online shopping experience has been revolutionized by Virtual Try-On (VTON) technology, offering a glimpse into the future of e-commerce. This technology, pivotal in bridging the gap between virtual and physical shopping experiences, allows customers to picture how clothes will look on them without… Read More »Can You Virtually Try On Any Outfit Imaginably? This Paper Proposes a Groundbreaking AI Method for Photorealistic Personalized Clothing Synthesis Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In recent research, a team of researchers has examined CLIP (Contrastive Language-Image Pretraining), which is a famous neural network that effectively acquires visual concepts using natural language supervision. CLIP, which predicts the most relevant text snippet given an image, has helped advance vision-language modeling… Read More »Are CLIP Models ‘Parroting’ Text in Images? This Paper Explores the Text Spotting Bias in Vision-Language Systems Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Diffusion models stand out for their ability to create high-quality images by transforming data into noise, a process inspired by thermodynamics. This transformation, central to the performance of these models, has become a key area of study in generative modeling and image synthesis, especially… Read More »This Paper from Cornell Introduces Multivariate Learned Adaptive Noise (MuLAN): Advancing Machine Learning in Image Synthesis with Enhanced Diffusion Models Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost