Machine Learning

Facebook AI Introduces A New Image Generation Model Called ‘IC-GAN’ That Creates High-Quality Images of Unfamiliar Objects And Scenes

Generative adversarial networks (GANs) have been used for few years to generate photorealistic images of objects or scenes that are very similar in style...

MIT Researchers Introduce First Silicon Chip That Can Decode Any Code Independent Of Its Structure

Every bit of data that goes over the internet, from paragraphs in an email to 3D images in a virtual reality environment, is susceptible...

Latest Research From NVIDIA AI and Mass General Brigham Explains The Importance of Federated Learning in Medical AI and Other Industries

Federated learning is a new way to train artificial intelligence models with data from multiple sources while maintaining anonymity. This removes many barriers and...

Researchers Introduce OncoPetNet: A Deep Learning Based AI System For Mitotic Figure Counting in a Veterinary Diagnostic Lab

Artificial intelligence (AI) has transformed industries all over the world, including the healthcare sector. From fitness bracelets to glucose monitoring, modern technology allows anyone...

Google AI Introduces Two New Families of Neural Networks Called ‘EfficientNetV2’ and ‘CoAtNet’ For Image Recognition

Training efficiency has become a significant factor for deep learning as the neural network models, and training data size grows. GPT-3 is an excellent...

Latest Research From Hebrew University Explains The Similarity Between Neurons and Artificial Neural Networks

The brain is one of the most complex parts of the body, and researchers and scientists to date haven't been able to study all...

Toshiba Develops AI To The Next Level With World’s Most Accurate Highly Versatile Visual Question Answering (VQA)

Toshiba Corporation has created the world's most accurate and adaptable Visual Question Answering (VQA) AI, which can distinguish not just persons and objects in...

Israeli Researchers Unveil DeepSIM, a Neural Generative Model for Conditional Image Manipulation Based on a Single Image

In recent years, deep neural networks have been proven effective at performing image manipulation tasks for which large training datasets are available such as,...

New IBM Research Proposes Phase-Change Materials (PCMs) To Break The von Neumann Bottleneck For AI And Deep Learning Applications

We live in a world where significant technological developments in processing technology have dramatically transformed our way of life, with rapid improvements in computing...

Google AI Introduces Full-Attention Cross-Modal Transformer (FACT) Model And A New 3D Dance Dataset AIST++

Dance has always been a significant part of human culture, rituals, and celebrations, as well as a means of self-expression. Today, there exists many...

AI Researchers Propose A Method Using Irregular Pupil Shapes To Identify GAN Generated Synthetic Faces

Computer-generated faces have lately improved to the point that they are difficult to tell apart from the real thing. That makes them a handy...

Google AI Study Presents Personalized ASR Models From Euphonia’s Corpus (Speech Corpora)

Millions of people suffer from speech problems, which can be caused by anything including neurological or genetic diseases, physical handicaps, brain damage, or hearing...

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