- Wed. Nov 27th, 2024
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Microsoft Researchers Propose MAIRA-1: A Radiology-Specific Multimodal Model for the Task of Generating Radiological Reports from Chest X-rays (CXRs)
The team of researchers from Microsoft tackled the problem of generating high-quality reports for chest X-rays (CXR) by developing a radiology-specific multimodal model called MAIRA-1. The model utilizes a CXR-specific…
Google DeepMind Introduces GNoME: A New Deep Learning Tool that Dramatically Increases the Speed and Efficiency of Discovery by Predicting the Stability of New Materials
Inorganic crystals are essential to many contemporary technologies, including computer chips, batteries, and solar panels. Every new, stable crystal results from months of meticulous experimentation, and stable crystals are essential…
This AI Paper from Northeastern University and MIT Develop Interpretable Concept Sliders for Enhanced Image Generation Control in Diffusion Models
Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which is presently not achievable. It can…
Meet PGXMAN : The PostgreSQL Extension Manager
Could you drag and drop them into your project management workflow instead of manually updating and independently managing each Postgres extension? How awesome would that be? Well, that wish has…
Meet RAGs: A Streamlit App that Lets You Create a RAG Pipeline from a Data Source Using Natural Language
GPTs stand out in artificial intelligence regarding NLP tasks. Nevertheless, pipelines built and deployed using GPT can be lengthy and intricate. The role of RAGs is to be seen here.…
Unveiling the Power of Chain-of-Thought Reasoning in Language Models: A Comprehensive Survey on Cognitive Abilities, Interpretability, and Autonomous Language Agents
The research conducted by Shanghai Jiao Tong University, Amazon Web Services, and Yale University addresses the problem of understanding the foundational mechanics and justifying the efficacy of Chain-of-Thought (CoT) techniques…
UC Berkeley Researchers Develop ALIA: A Breakthrough in Automated Language-Guided Image Augmentation for Fine-Grained Classification Tasks
Fine-grained image classification is a computer vision task aiming to classify images into subcategories within a larger category. It involves the intricate identification of specific, often rare animals. Yet, they…
This Paper from Johns Hopkins Highlights Data Science’s Role in Accelerating Probabilistic Catalog Matching for Space Discoveries Across Time and Telescopes
A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even…
Can We Map Large-Scale Scenes in Real-Time without GPU Acceleration? This AI Paper Introduces ‘ImMesh’ for Advanced LiDAR-Based Localization and Meshing
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased…
Researchers from Google and UIUC Propose ZipLoRA: A Novel Artificial Intelligence Method for Seamlessly Merging Independently Trained Style and Subject LoRAs
Researchers from Google Research and UIUC propose ZipLoRA, which addresses the issue of limited control over personalized creations in text-to-image diffusion models by introducing a new method that merges independently…