​ Developing large-scale datasets has been critical in computer vision and natural language processing. These datasets, rich in visual and textual information, are fundamental to developing algorithms capable of understanding and interpreting images. They serve as the backbone for enhancing machine learning models, particularly those… Read More »‘Let’s Go Shopping (LGS)’ Dataset: A Large-Scale Public Dataset with 15M Image-Caption Pairs from Publicly Available E-commerce Websites Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Text-to-image synthesis is a revolutionary technology that converts textual descriptions into vivid visual content. This technology’s significance lies in its potential applications, ranging from artistic digital creation to practical design assistance across various sectors. However, a pressing challenge in this domain is creating models… Read More »This AI Paper from Segmind and HuggingFace Introduces Segmind Stable Diffusion (SSD-1B) and Segmind-Vega (with 1.3B and 0.74B): Revolutionizing Text-to-Image AI with Efficient, Scaled-Down Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ There has been a dramatic increase in the complexity of the computer vision model landscape. Many models are now at your fingertips, from the first ConvNets to the latest Vision Transformers. Just as supervised learning on ImageNet gave way to self-supervised learning and image-text… Read More »How to Choose the Right Vision Model for Your Specific Needs: Beyond ImageNet Accuracy – A Comparative Analysis of Convolutional Neural Networks and Vision Transformer Architectures Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Quantum devices are those based on the principles of quantum mechanics, and they perform tasks that are not feasible using classical methods. They are useful in many fields, including climate modeling, finance, and drug discovery. With the growth of Machine Learning, researchers have started… Read More »University of Oxford Researchers Utilize Physics-Aware Machine Learning to Tackle Major Quantum Device Challenge Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ There is a growing need to develop methods capable of efficiently processing and interpreting data from various document formats. This challenge is particularly pronounced in handling visually rich documents (VrDs), such as business forms, receipts, and invoices. These documents, often in PDF or image… Read More »JPMorgan AI Research Introduces DocGraphLM: An Innovative AI Framework Merging Pre-Trained Language Models and Graph Semantics for Enhanced Document Representation in Information Extraction and QA Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ There has been a significant surge in the integration of language models (LMs) into mainstream applications within the fields of software engineering and programming. Large Language Models LLMs, including recent models such as Code Llama, GPT-3.5, and GPT-4 (OpenAI, 2023), have demonstrated notable effectiveness… Read More »Meta AI Introduces CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ State Space Models (SSMs) and Transformers have emerged as pivotal components in sequential modeling. The challenge lies in optimizing the scalability of SSMs, which have shown promising potential but are yet to surpass the dominance of Transformers. This research addresses the need to enhance… Read More »This AI Paper Proposes MoE-Mamba: Revolutionizing Machine Learning with Advanced State Space Models and Mixture of Experts MoEs Outperforming both Mamba and Transformer-MoE Individually Nikhil Artificial Intelligence Category – MarkTechPost

​ The challenge of interpreting the workings of complex neural networks, particularly as they grow in size and sophistication, has been a persistent hurdle in artificial intelligence. Understanding their behavior becomes increasingly crucial for effective deployment and improvement as these models evolve. The traditional methods… Read More »MIT Researchers Developed a New Method that Uses Artificial Intelligence to Automate the Explanation of Complex Neural Networks Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) generally face difficulties with multi-step problems and long-term planning, which is an important step in designing scientific experiments. A recent research introduces a method, Bioplanner, that addresses the challenge of automating the generation of accurate protocols for scientific experiments. Researchers… Read More »Researchers from Future House and Oxford Created BioPlanner: An Automated AI Approach for Assessing and Training the Protocol-Planning Abilities of LLMs in Biology Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ In audio technology, researchers have made significant strides in developing models for audio generation. However, the challenge lies in creating models that can efficiently and accurately generate audio from various inputs, including textual descriptions. Earlier approaches have focused on autoregressive and diffusion-based models. While… Read More »MAGNeT: A Masked Generative Sequence AI Modeling Method that Operates Directly Over Several Streams of Audio Tokens and 7x Faster than the Autoregressive Baseline Adnan Hassan Artificial Intelligence Category – MarkTechPost