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Researchers from Northwestern University Come Up With More Efficient AI Training...

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Since the inception of modern machine learning, the goal has been to make workloads that use the technology as efficient as feasible. Considering the...

Recognizing Chemical Formulas from Research Papers Using a Transformer-Based Artificial...

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In the last few years, deep learning has been playing an integral role in various scientific and technology areas. This development promotes AI-based tools...

A New AI Research Propose ‘UniFormer’ (Unified transFormer) to Unify Convolution...

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For visual recognition, representation learning is a crucial research area. Essentially, researchers are confronted with two separate issues in visual data, such as photographs...

Researchers Introduce ‘SeMask’: An Effective Transformer-Framework That Incorporates Semantic Information Into...

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After demonstrating the transformer’s efficiency in the visual domain, the research community has focused on extending its use to several fields. One of these...

Recent Research on Manifolds in Commonly Used Atomic Fingerprints and Failure...

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Atomic fingerprints are often employed in machine learning situations to characterize atoms' immediate environs. Encoding information such as link lengths to surrounding atoms or...

Russian Bioinformaticians Have Created A Neural Network Architecture That Can Evaluate...

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A novel neural network design to assess how successfully a guide RNA has been chosen for a gene-editing procedure. This methodology will allow for...

Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of...

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Smart healthcare services can be provided by using Internet of Things (IoT) technologies that monitor the health conditions of patients and their vital body...

Researchers Introduce A New Hand Gesture Recognition Algorithm Combining Hand-Type Adaptive...

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Almost all of our computer interaction occurs via mouse, keyboards, and touch screens. An essential step in making human-computer interactions more efficient would be...

Researchers Demonstrate Face Detection in Untrained Deep Neural Networks

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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....

‘HiClass’: A Python Package that Provides Implementations of Popular Machine Learning...

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Classification is the process of grouping items into categories. Classification problems can be naturally modeled hierarchically, typically in the tree or directed acyclic graph...
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