​[[{“value”:” Generating realistic human facial images has long challenged computer vision and machine learning researchers. Early techniques like Eigenfaces used Principal Component Analysis (PCA) to learn statistical priors from data but severely lacked the ability to capture the real-world complexities of lighting, expressions, and viewpoints… Read More »Lifelike Facial Image Synthesis with ID Embeddings: Arc2Face Pioneers New Frontiers Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A recent development of a model merging into the community of large language models (LLMs) presents a paradigm shift. Strategically combining multiple LLMs into a single architecture, this development approach has captivated the attention of researchers mainly due to the advantage that it requires… Read More »Sakana AI Introduces Evolutionary Model Merge: A New Machine Learning Approach Automating Foundation Model Development Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In academic research, particularly in computer vision, keeping track of conference papers can be a real challenge. Unlike journal articles, conference papers often lack easily accessible metadata such as DOI or ISBN, making them harder to find and cite. Researchers have to spend a… Read More »Paperlib: An Open-Source AI Research Paper Management Tool Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The search for rapid discovery and materials characterization with tailored properties has recently intensified. One of the central aspects of this research is the understanding of crystal structures, which are inherently complex due to their periodic and infinite nature. This complexity presents a formidable… Read More »Researchers at Texas A&M University Introduces ComFormer: A Novel Machine Learning Approach for Crystal Material Property Prediction Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models like GPT-4 are incredibly powerful, but they sometimes struggle with basic tasks involving visual perception – like counting objects in an image. It turns out part of the issue may stem from how these models process high-resolution images.  Most current multimodal… Read More »Seeing it All: LLaVA-UHD Perceives High-Resolution Images at Any Aspect Ratio Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep features are pivotal in computer vision studies, unlocking image semantics and empowering researchers to tackle various tasks, even in scenarios with minimal data. Lately, techniques have been developed to extract features from diverse data types like images, text, and audio. These features serve… Read More »FeatUp: A Machine Learning Algorithm that Upgrades the Resolution of Deep Neural Networks for Improved Performance in Computer Vision Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead of using the standard 32-bit floating-point numbers (float32) for representing their weights and activations, the model uses low-precision… Read More »HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The term “text mining” refers to discovering new patterns and insights in massive amounts of textual data. Generating a taxonomy—a collection of structured, canonical labels that characterize features of the corpus—and text classification—the labeling of instances within the corpus using said taxonomy—are two fundamental… Read More »Tnt-LLM: A Novel Machine Learning Framework that Combines the Interpretability of Manual Approaches with the Scale of Automatic Text Clustering and Topic Modeling Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Harnessing the strong language understanding and generation potential of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) have been developed in recent years for vision-and-language understanding tasks. MLLMs have shown promising results in understanding general images by aligning a pre-trained visual encoder (e.g.,… Read More »Researchers from Alibaba and the Renmin University of China Present mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic realm of computer vision and artificial intelligence, a new approach challenges the traditional trend of building larger models for advanced visual understanding. The approach in the current research, underpinned by the belief that larger models yield more powerful representations, has led… Read More »UC Berkeley and Microsoft Research Redefine Visual Understanding: How Scaling on Scales Outperforms Larger Models with Efficiency and Elegance Sana Hassan Artificial Intelligence Category – MarkTechPost