New framework for SM-REITs to boost investment in real estate sector: CREDAI
Realtors' body CREDAI has praised the new framework for Small and Medium Real Estate Investment Trusts (SM REITs), stating that ...
Tag: Framework
Amazon AI Researchers Introduce Chronos: A New Machine Learning Framework for Pretrained Probabilistic Time Series Models
Accurate forecasting tools are crucial in industries such as retail, finance, and healthcare, and they are constantly advancing toward greater ...
This AI Paper from the University of Michigan and Netflix Proposes CLoVe: A Machine Learning Framework to Improve the Compositionality of Pre-Trained Contrastive Vision-Language Models
There has been notable progress in Vision-Language tasks, with models like CLIP showing impressive performance in various tasks. While these ...
Meet Optuna: An Automatic Hyperparameter Optimization Software Framework Designed for Machine Learning
In machine learning, finding the perfect settings for a model to work at its best can be like looking for ...
Researchers at Cornell University Introduced HiQA: An Advanced Artificial Intelligence Framework for Multi-Document Question-Answering (MDQA)
A significant challenge with question-answering (QA) systems in Natural Language Processing (NLP) is their performance in scenarios involving extensive collections ...
Cornell Researchers Introduce Graph Mamba Networks (GMNs): A General Framework for a New Class of Graph Neural Networks Based on Selective State Space Models
Graph-based machine learning is currently undergoing a significant transformation, largely driven by the introduction of Graph Neural Networks (GNNs). These ...
Meet Time-LLM: A Reprogramming Machine Learning Framework to Repurpose LLMs for General Time Series Forecasting with the Backbone Language Models Kept Intact
In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn ...
Meet Medusa: An Efficient Machine Learning Framework for Accelerating Large Language Models (LLMs) Inference with Multiple Decoding Heads
The most recent advancement in the field of Artificial Intelligence (AI), i.e., Large Language Models (LLMs), has demonstrated some great ...
This AI Paper Proposes COPlanner: A Machine Learning-based Plug-and-Play Framework that can be Applied to any Dyna-Style Model-based Methods
One of the critical challenges in model-based reinforcement learning (MBRL) is managing imperfect dynamics models. This limitation of MBRL becomes ...
Researchers from Washington University in St. Louis Propose Visual Active Search (VAS): An Artificial Intelligence Framework for Geospatial ExplorationÂ
In the challenging fight against illegal poaching and human trafficking, researchers from Washington University in St. Louis’s McKelvey School of ...
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