Marktechpost

DECEMBER 26, 2023

Conventional methods in this field have heavily relied on deep neural networks (DNNs) due to their exceptional ability to model complex patterns. Reduction of model complexity through neural network sparsification. Gradual decrease of nonlinearity in neural models, optimizing them for efficient use in automatic control.

Neural Network 93

Neural Network Robotics Automation AI Researcher 93

Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

Neural Network 122

Neural Network Machine Learning Natural Language Processing Computer Vision 122

Marktechpost

SEPTEMBER 8, 2023

It offers a versatile platform not only for neural networks but also for handling a wide range of tasks, including ODEs, SDEs, linear solves, and more. All Credit For This Research Goes To the Researchers on This Project. If you like our work, you will love our newsletter.

Neural Network 92

Neural Network Machine Learning Data Science AI Researcher 92

Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. Traditional neural networks lack the elegance of the brain’s processing mechanisms.

Neural Network 108

Neural Network Python Deep Learning Artificial Intelligence 108

Marktechpost

OCTOBER 22, 2023

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

Neural Network 137

Neural Network Artificial Intelligence Artificial Intelligence AI 137

Marktechpost

SEPTEMBER 15, 2023

The traditional theory of how neural networks learn and generalize is put to the test by the occurrence of grokking in neural networks. This behavior is basically grokking in neural networks. Generalizing Solution: With this approach, the neural network is well-suited to generalizing to new data.

Neural Network 124

Neural Network AI Researcher AI Research ML 124

Marktechpost

DECEMBER 30, 2023

While PDE discovery seeks to determine a PDE’s coefficients from data, PDE solvers use neural networks to approximate a known PDE’s solution. In recent research, researchers from the University of Cambridge and Cornell University have provided a step-by-step mathematical guide to operator learning.

Neural Network 121

Neural Network Deep Learning Computer Vision Machine Learning 121

Marktechpost

JULY 12, 2023

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.

Neural Network 94

Neural Network Computer Vision AI Researcher AI Research 94

Marktechpost

DECEMBER 15, 2023

Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks. However, it can take days or weeks to obtain adequate results from neural network training due to its computing demands. Check out the Paper.

Neural Network 121

Neural Network Machine Learning Algorithm Deep Learning 121

Marktechpost

OCTOBER 8, 2023

Yes, the field of study is called Neural networks. Researchers at the University of Copenhagen present a graph neural network type of encoding in which the growth of a policy network is controlled by another network running in each neuron. They call it a Neural Developmental Program (NDP).

Neural Network 106

Neural Network Automation Deep Learning Algorithm 106

Marktechpost

OCTOBER 13, 2023

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across a variety of devices remains. All Credit For This Research Goes To the Researchers on This Project. Join our AI Channel on Whatsapp.

Neural Network 129

Neural Network Deep Learning Algorithm Automation 129

Marktechpost

JULY 29, 2023

Join the fastest growing ML Community on Reddit Massive machine learning models that mimic the brain’s information processing are the basis of deep neural networks (DNNs) like the one powering ChatGPT. The discipline of data science is evolving due to the rise of deep neural networks (DNNs).

Neural Network 98

Neural Network Machine Learning ChatGPT Big Data 98

Marktechpost

OCTOBER 28, 2023

To address this issue, NYU researchers have introduced an “interpretable-by-design” approach that not only ensures accurate predictive outcomes but also provides insights into the underlying biological processes, specifically RNA splicing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

Neural Network 114

Neural Network Explainability Machine Learning Python 114

Marktechpost

JULY 2, 2023

Deep learning hardware has previously been extensively developed in digital electronics, including GPUs, mobile accelerator chips, FPGAs, and large-scale AI-dedicated accelerator systems. All Credit For This Research Goes To the Researchers on This Project. appeared first on MarkTechPost.

Neural Network 95

Neural Network Deep Learning Computer Vision Machine Learning 95

Marktechpost

DECEMBER 7, 2023

All credit for this research goes to the researchers of this project. Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 107

Large Language Models Prompt Engineer Prompt Engineering Neural Network 107

Marktechpost

SEPTEMBER 1, 2023

These intricate neural networks, with their complex processes and hidden layers, have captivated researchers and practitioners while obscuring their inner workings. The crux of the challenge stems from the inherent complexity of deep neural networks. Check out the Paper.

Neural Network 95

Neural Network Deep Learning Categorization Artificial Intelligence 95

Marktechpost

DECEMBER 18, 2023

In a groundbreaking study, MIT researchers have delved into the realm of deep neural networks, aiming to unravel the mysteries of the human auditory system. The foundation of this research builds upon prior work where neural networks were trained to perform specific auditory tasks, such as recognizing words from audio signals.

Neural Network 78

Neural Network Explainability AI Researcher AI Research 78

Marktechpost

NOVEMBER 26, 2023

Neural network architectures, particularly created and trained for few-shot knowledge the ability to learn a desired behavior from a small number of examples, were the first to exhibit this capability. Since then, a substantial amount of research has examined or documented instances of ICL. Check out the Paper.

Neural Network 128

Neural Network Categorization AI Researcher AI Research 128

Marktechpost

DECEMBER 16, 2023

” This innovative code, which simulates spiking neural networks inspired by the brain’s efficient data processing methods, originates from the efforts of a team at UC Santa Cruz. This publication offers candid insights into the convergence of neuroscience principles and deep learning methodologies.

Neural Network 89

Neural Network Deep Learning Python Artificial Intelligence 89

Mlearning.ai

JULY 17, 2023

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models.

Neural Network 52

Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Marktechpost

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these. Recurrent Neural Networks (RNNs) and Transformers are the most common methods; each has advantages and disadvantages.

Neural Network 130

Neural Network Natural Language Processing Deep Learning Artificial Intelligence 130

Marktechpost

SEPTEMBER 26, 2023

Microsoft researchers propose a groundbreaking solution to these challenges in their recent “Neural Graphical Models” paper presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023). All Credit For This Research Goes To the Researchers on This Project.

Neural Network 133

Neural Network Categorization Data Scientist Data Analysis 133

Marktechpost

SEPTEMBER 30, 2023

This redundancy consumes extra energy and leads to an expanded chip footprint, raising concerns about space efficiency and scalability in large-scale optical neural networks (ONNs) and optimization problem solvers. Efforts to address this issue have been made, with solutions such as a pseudo-real-value MZI mesh.

Neural Network 73

Neural Network Explainability AI Researcher AI Research 73

Marktechpost

AUGUST 21, 2023

The optical neural networks optimize the light and offer solutions to these problems by enabling high-speed, parallel, and energy-efficient consumption. The pluggable Diffractive neural networks act as a solution to the limitations of traditional deep learning by leveraging optical neural networks.

Neural Network 94

Neural Network Deep Learning Machine Learning AI Researcher 94

Marktechpost

JANUARY 5, 2024

Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , Twitter , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

Neural Network 143

Neural Network Deep Learning AI Researcher AI Research 143

Marktechpost

NOVEMBER 26, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

Neural Network 115

Neural Network AI Researcher AI Research ML 115

Marktechpost

DECEMBER 30, 2023

A new research paper from CSIRO, Australia, addresses these challenges by introducing a novel solution, ML-SEISMIC, a physics-informed deep neural network designed to align stress orientation data with an elastic model autonomously. The research team introduces ML-SEISMIC as a groundbreaking alternative.

Deep Learning 79

Deep Learning ML Neural Network AI Researcher 79

Marktechpost

DECEMBER 16, 2023

Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. The dataset, spanning 13 years, included 2,513,546 chest x-ray studies and 1,940,508 usable free-text radiological reports.

Neural Network 74

Neural Network Auto-classification NLP Natural Language Processing 74

Marktechpost

DECEMBER 31, 2023

Combining RL with deep Neural Networks (NNs) has demonstrated remarkable capabilities for finance. Consequently, a research team from Switzerland and the U.S. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Neural Network 113

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 113

Marktechpost

AUGUST 11, 2023

While humans possess the ability to adapt their thinking and responses based on varying situations or conditions, Neural Networks, though incredibly potent and intricately designed, are constrained by fixed functions and inputs. Adaptive computation in neural networks is appealing for two reasons.

Neural Network 87

Neural Network AI AI Machine Learning 87

Marktechpost

DECEMBER 5, 2023

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.

Neural Network 80

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 80

Marktechpost

DECEMBER 13, 2023

Techniques include treating LLMs as task predictors, feature encoders for Graph Neural Networks (GNNs), or aligners with GNNs, depending on their function and interaction with GNNs. All credit for this research goes to the researchers of this project. LLMs are becoming increasingly popular for graph-based applications.

Large Language Models 127

Large Language Models AI Researcher AI Research Neural Network 127

Marktechpost

JULY 11, 2023

This release empowers researchers and practitioners to utilize LightGlue’s capabilities and contribute to advancing computer vision applications that require efficient and accurate image matching. Check out the Paper and Code.

Neural Network 97

Neural Network Computer Vision AI Tools AI Researcher 97

Marktechpost

SEPTEMBER 10, 2023

Graph-based ML models also lose important details about where the things are placed when molecules stick to each other. All Credit For This Research Goes To the Researchers on This Project. However, the characteristics don’t pay attention to how these atoms are connected. Check out the Paper and Reference Article.

Convolutional Neural Networks 104

Convolutional Neural Networks Neural Network Deep Learning ML 104

Marktechpost

NOVEMBER 30, 2023

The study finds variability in the status of these core elements by analyzing 32 papers that predict poverty/wealth, using survey data for ground truth, applying it to urban and rural settings, and involving deep neural networks. All credit for this research goes to the researchers of this project.

Deep Learning 89

Deep Learning AI Researcher AI Research Neural Network 89

Marktechpost

SEPTEMBER 15, 2023

These factors include the availability of huge amounts of data, improvements in computer power, and breakthroughs in the design of neural networks. All Credit For This Research Goes To the Researchers on This Project. If you like our work, you will love our newsletter.

AI Researcher 134

AI Researcher AI Research Large Language Models Neural Network 134

Marktechpost

JULY 15, 2023

Since the emergence of large-scale OT and Wasserstein GANs, machine learning has increasingly embraced using neural networks to solve optimum transport (OT) issues. A neural network may, for instance, convert a hand-drawn drawing into a digital image or improve the clarity of a satellite photo.

Neural Network 52

Neural Network Algorithm Machine Learning Artificial Intelligence 52