​[[{“value”:” The development and refinement of large language models (LLMs) mark a significant step in the progress of machine learning. These sophisticated algorithms, designed to mimic human language, are at the heart of modern technological conveniences, powering everything from digital assistants to content creation tools.… Read More »Researchers at Apple Propose ReDrafter: Changing Large Language Model Efficiency with Speculative Decoding and Recurrent Neural Networks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Pre-trained language models (PLMs) have revolutionized artificial intelligence, mimicking human-like understanding and text generation. However, the challenge of aligning these models with human preferences has emerged. In this context, the KAIST AI team introduces a novel approach, Odds Ratio Preference Optimization (ORPO), which promises… Read More »This AI Paper from KAIST AI Unveils ORPO: Elevating Preference Alignment in Language Models to New Heights Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:”Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival. Lung cancer screening via computed tomography (CT),… Read More »Computer-aided diagnosis for lung cancer screening Google AI Google AI Blog

​[[{“value”:”Posted by Yossi Matias, VP Engineering & Research, and Grey Nearing, Research Scientist, Google Research Floods are the most common natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. The rate of flood-related disasters has more than doubled since the… Read More »Using AI to expand global access to reliable flood forecasts Google AI Google AI Blog

​[[{“value”:” Analyzing scientific literature is crucial for research advancement, yet the rapid growth in scholarly articles poses challenges for thorough analysis. LLMs promise to summarize texts but need help with multimodal elements like molecular structures and charts. Extracting targeted information from scientific literature is time-consuming,… Read More »This AI Paper Proposes Uni-SMART: Revolutionizing Scientific Literature Analysis with Multimodal Data Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In software development, the choice between ChatGPT and GitHub Copilot is pivotal for enhancing efficiency and innovation. This article delves into a comprehensive comparison of these tools, shedding light on their functionalities, advantages, disadvantages, and ideal use cases. It culminates in a nuanced understanding… Read More »GitHub Copilot vs. ChatGPT: Which AI Tool is Better for Software Development? Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The demand for optimized inference workloads has never been more critical in deep learning. Meet Hidet, an open-source deep-learning compiler developed by a dedicated team at CentML Inc. This Python-based compiler aims to streamline the compilation process, offering end-to-end support for DNN models from… Read More »Hidet: An Open-Source Python-based Deep Learning Compiler Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Image restoration (IR) is a crucial task in computer vision, seeking to recover high-quality images from their degraded versions. Whether it’s an old, faded photograph or a photo blurred by camera shake, we want to fix these imperfections. Traditional methods have progressed, but diffusion… Read More »Researchers at NTU Singapore Propose a Novel and Efficient Diffusion Model for Image Restoration IR that Significantly Reduces the Required Number of Diffusion Steps Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MIT researchers developed the Texture Tiling Model (TTM) to address the challenge of accurately modeling human visual perception in deep neural networks (DNNs), particularly focusing on peripheral vision. Peripheral vision, which represents the world with decreasing fidelity at greater eccentricities, plays a crucial role… Read More »MIT Researchers Developed an Image Dataset that Allows Them to Simulate Peripheral Vision in Machine Learning Models Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The transition from text to visual components has significantly enhanced daily tasks, from generating images and videos to identifying elements within them. Past computer vision models focused on object detection and classification, while large language models like OpenAI GPT-4 have bridged the gap between… Read More »Meet VisionGPT-3D: Merging Leading Vision Models for 3D Reconstruction from 2D Images Sana Hassan Artificial Intelligence Category – MarkTechPost