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This Paper from Johns Hopkins Highlights Data Science’s Role in Accelerating Probabilistic Catalog Matching for Space Discoveries Across Time and Telescopes

AI Shorts
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 billions of objects using various types...

Can We Map Large-Scale Scenes in Real-Time without GPU Acceleration? This AI Paper Introduces ‘ImMesh’ for Advanced LiDAR-Based Localization and Meshing

Artificial Intelligence
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 productive efficiency. These programs are based...

New AI Research from the University of Maryland Investigates Cramming Challenge for Training a Language Model on a Single GPU in One Day

AI Paper Summary
In many areas of natural language processing, including language interpretation and natural language synthesis, large-scale training of machine learning models utilizing transformer topologies has...

Meet Powderworld: A Lightweight Simulation Environment For Understanding AI Generalization

AI Shorts
Despite recent advances in RL research, the ability to generalize to new tasks remains one of the major issues in both reinforcement learning (RL)...

Artificial Intelligence (AI) Researchers from Cornell University Propose a Novel Neural Network Framework to Address the Video Matting Problem

AI Paper Summary
Image and video editing are two of the most popular applications for computer users. With the advent of Machine Learning (ML) and Deep Learning...

Meet FathomNet: An Open-Source Image Database That Uses Artificial Intelligence and Machine Learning Algorithms To Help Process The Backlog Of Visual Data For Understanding...

AI Paper Summary
The ocean is changing at an unprecedented rate, making it challenging to maintain responsible stewardship while visually monitoring vast amounts of marine data. The...

Researchers at Michigan State University Developed ‘DANCE,’ a Python Library to Support Deep Learning Models for Analyzing Single-Cell Gene Expression at Scale

AI Paper Summary
From single-modality profiling (RNA, protein, and open chromatin) to multimodal profiling and spatial transcriptomics, the technology for analyzing single cells has advanced rapidly in...

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

AI Paper Summary
The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed...

Meet AIHelperBot: An Artificial Intelligence (AI) Based SQL Expert That Builds SQL Queries In Seconds

AI Shorts
In the intriguing world of modern digital technology, artificial intelligence (AI) chatbots elevate people's online experiences. Artificial intelligence chatbots have been trained to have...

Salesforce AI Developed A New Editing Algorithm Called EDICT That Performs Text-To-Image Diffusion Generation With An Invertible Process Given Any Existing Diffusion Model

AI Paper Summary
With the recent advancements in technology and the field of Artificial Intelligence, there have been a lot of innovations. Be it text generation using...

UCLA Researchers Propose PhyCV: A Physics-Inspired Computer Vision Python Library

AI Shorts
Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are...

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology...

AI Paper Summary
Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and...

University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research...

AI Paper Summary
Federated learning (FL) is a new machine learning (ML) environment in which a logically centralized coordinator orchestrates numerous dispersed clients (e.g., cellphones or laptops)...

Researchers at Stanford have developed an Artificial Intelligence (AI) model,’ StockBot’, which uses LSTMs to predict stock prices with gains higher than the most...

AI Paper Summary
Stock market behavior forecasting is a crucial undertaking that requires careful attention since, with the right choices, a successful prediction of stock prices might...
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