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Research on neural fields, which represent signals by mapping coordinates to their quantities (e.g., scalars or vectors) with neural networks, has exploded recently. This...

It is essential for a wide range of applications in computer graphics and vision that generative adversarial networks (GANs) learn to create realistic images....

Artificial intelligence has become a significant force in technology and innovation, drastically altering various industries. Startups worldwide are utilizing AI to address issues and...

Dynamic difficulty adjustment (DDA) is a technique for automatically altering a game's features, behaviors, and scenarios in real-time based on the player's proficiency so...

This article's primary research objective was to develop something cool with non-rule-based techniques such as deep learning; they believed drawing is cool to display...

Handling edge cases, or unusual data, is the most challenging aspect of developing AI models. Finding credible data sets of unique edge cases becomes...

The most important thing for a Text-to-Speech TTS system is to save and communicate the context of the present discourse. Current TTS models have...

Semiconductors are employed in almost every industry and have become a valuable asset. The development and production of these chips is a complex task....

This Article is written as a summay by Marktechpost Staff based on the research article 'Reconfigurable heterogeneous integration using stackable chips with embedded artificial...

This Article is written as a summay by Marktechpost Staff based on the paper 'SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching...

This Article is written as a summay by Marktechpost Staff based on the PR Article submitted by LG AI research PR group. All Credit...

AI Development Cycle for Edge AI In the last decade, AI research has brought astonishing results in many fields, and, undoubtedly, AI is nowadays a...

We have a plethora of AI models being developed by numerous businesses. But these require a lot of time and resources. Because high-performance AI...

This research summary is based on the paper 'DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation' Please don't forget to join our ML Subreddit GAN inversion...

Deep generative models have produced realistic samples in a variety of domains, including image and audio. Video generation has recently emerged as the next...

In recent years, Transformers have overcome classic Convolutional Neural Networks (CNNs) and have rapidly become the state-of-the-art in many vision tasks. This power has...

Identifying and recognizing faces is a fundamental skill for social interaction. This ability is assumed to be derived from single or multi-neuronal neuronal tuning....

Researchers at LG Electronics have successfully tested the next step in wireless transmission technology, sending data over a distance of 100 meters with 6G...

Samsung is making cutting edge chips by using artificial intelligence. The South Korean company has partnered with Synopsys, a leading chip design software firm,...