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Latent diffusion models have greatly increased in popularity in recent years. Because their outstanding generating capabilities, these models can produce high-fidelity synthetic datasets that can be added to supervised machine learning pipelines in situations when training...
Rising entry barriers are hindering AI's potential to revolutionize global trade. OpenAI's GPT4 is the most recent big language model to be disclosed. However, the model's architecture, training data, hardware, and hyperparameters are kept secret. Large...

Researchers at Monash University Propose ‘EcoFormer,’ An Energy-Saving Attention with Linear Complexity That Reduces Compute Cost by 73%

A transformer is a transformative deep learning framework that successfully models sequential data across various tasks. Over the past few years, transformers have achieved...

Top Innovative Artificial Intelligence (AI) Powered Startups Based in Australia

AI is changing the landscape of technology all around the world. So many companies are using AI to solve real-world problems and make our...

In A Latest Computer Vision Paper, Researchers Propose A Novel Framework To Leverage The Representation And Generalization Capability Of Pre-Trained Multi-Modal Models Towards Improved...

Open Vocabulary Detection attempts to generalize beyond the restricted number of base classes designated during the training phase. At inference, the objective is to...

This Australian Startup, ‘Strong Compute’, is Making the Training Process of Machine Learning Models 10x-1000x Faster

In a world where data is scarce, and machine learning algorithms get more complex with each passing day, it's difficult for developers to keep...

Baidu Researchers Propose a Quantum Self-Attention Neural Network (QSANN) by Introducing the Self-Attention Mechanism to Quantum Neural Networks

This Article Is Based On The Research Paper 'Quantum Self-Attention Neural Networks for Text Classification'. All Credit For This Research Goes To The Researchers...

Researchers From the University of Sydney and Adobe Propose P3M-Net: A Portrait Matting Model with Privacy Preserving

This research summary is based on the paper 'Rethinking Portrait Matting with Privacy Preserving' Please don't forget to join our ML Subreddit Deep learning's effectiveness in...

Researchers From Cortical Labs Develop DishBrain: A Neural Network With Biological Neurons

Over the last decade, neural networks have become a trendy topic, ranging from image recognition to text generation and even video gameplay applications. On...

University of South Australia Introduces An AI System for Non-Contact Vital Signs Monitoring of Premature Babies Using Neural Networks

Researchers from the University of South Australia have developed an AI-based computer vision system that can help doctors automatically detect a premature baby's face...

Griffith University Researchers Design AI Video Surveillance System To Detect Social Distancing Breaches

Researchers at Griffith University have developed an AI video surveillance system to monitor social distancing breaches in an airport without compromising privacy. The team...

Researchers From University of Sydney And Japan’s NIMS Have Discovered A Way To Create Artificial Networks Of Nanowires That Can Be Tuned In The...

A team of researchers from the University of Sydney and Japan's National Institute for Material Science have demonstrated that they can utilize a random...

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