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A New AI Research Proposes VanillaNet: A Novel Neural Network Architecture Emphasizing the Elegance and Simplicity of Design while Retaining Remarkable Performance in Computer Vision Tasks

Marktechpost

Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. Modern technology has amazing processing capacity, enabling neural networks to perform these jobs excellently and efficiently.

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Understanding the different types and kinds of Artificial Intelligence

IBM Journey to AI blog

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Emotion AI is a theory of mind AI currently in development.

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Researchers from Shanghai Artificial Intelligence Laboratory and MIT Unveil Hierarchically Gated Recurrent Neural Network RNN: A New Frontier in Efficient Long-Term Dependency Modeling

Marktechpost

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

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This Paper Unravels the Mysteries of Operator Learning: A Comprehensive Mathematical Guide to Mastering Dynamical Systems and PDEs (Partial Differential Equation) through Neural Networks

Marktechpost

The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and language modeling to healthcare, biology, and whatnot. SciML consists of three primary subfields, which include PDE solvers, PDE discovery, and operator learning.

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

Marktechpost

Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are trained on huge datasets of images to recognize and classify objects, scenes, and events. Check out the GitHub and Project.

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8 AI Research Labs Pushing the Boundaries of Artificial Intelligence

ODSC - Open Data Science

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Meta AI’s Two New Endeavors for Fairness in Computer Vision: Introducing License for DINOv2 and Releasing FACET

Marktechpost

In the ever-evolving field of computer vision, a pressing concern is the imperative to ensure fairness. Meta AI researchers have charted a comprehensive roadmap in response to this multifaceted challenge. These disparities underscore the need to evaluate and mitigate bias in computer vision models thoroughly.