Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving.

Neural Network 140

Neural Network Machine Learning Algorithm AI Researcher 140

Marktechpost

DECEMBER 21, 2023

In machine learning, larger networks with increasing parameters are being trained. However, training such networks has become prohibitively expensive. ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training. parameters.

Neural Network 116

Neural Network AI AI Machine Learning 116

Marktechpost

SEPTEMBER 8, 2023

Meet Equinox , a JAX library designed for numerical methods that is gaining popularity within the data science and machine learning community. 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.

Neural Network 92

Neural Network Machine Learning Data Science AI Researcher 92

Marktechpost

NOVEMBER 7, 2023

Neural networks have become indispensable tools in various fields, demonstrating exceptional capabilities in image recognition, natural language processing, and predictive analytics. The sum of these vectors is then passed to the next layer, creating a sparse and discrete bottleneck within the network.

Neural Network 107

Neural Network Natural Language Processing AI AI 107

Marktechpost

DECEMBER 30, 2023

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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Neural Network Deep Learning Computer Vision Machine Learning 121

Marktechpost

OCTOBER 28, 2023

In the world of biological research, machine-learning models are making significant strides in advancing our understanding of complex processes, with a particular focus on RNA splicing. In conclusion, the “interpretable-by-design” machine learning model represents a powerful tool in the biological sciences.

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Neural Network Explainability Machine Learning Python 114

Marktechpost

OCTOBER 16, 2023

In a recent paper, “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” researchers have addressed the challenge of understanding complex neural networks, specifically language models, which are increasingly being used in various applications. Join our AI Channel on Whatsapp.

Neural Network 106

Neural Network Large Language Models AI AI 106

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.

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Neural Network Python Deep Learning Artificial Intelligence 108

Marktechpost

JULY 2, 2023

Also, they exhibit transfer learning skills, which enable them to quickly generalize to certain activities, sometimes in a zero-shot environment with no additional training required. What happens if you run a Transformer model with an optical neural network?* appeared first on MarkTechPost.

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Neural Network Deep Learning Computer Vision Machine Learning 95

Marktechpost

JANUARY 14, 2024

Tax authorities worldwide are turning to machine learning strategies to enhance their capabilities in identifying and preventing fraudulent activities, marking a crucial step in safeguarding government revenues. Notably, the Artificial Neural Network accurately predicted tax fraud.

Machine Learning 88

Machine Learning AI Researcher AI Research Neural Network 88

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

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.

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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

OCTOBER 8, 2023

Can we adapt these hierarchy organization and parallel processing techniques in deep learning? Yes, the field of study is called Neural networks. They call it a Neural Developmental Program (NDP). This provides an advantage to NDP as it can operate upon any neural network of arbitrary size or architecture.

Neural Network 106

Neural Network Automation Deep Learning Algorithm 106

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.

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Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Marktechpost

OCTOBER 11, 2023

Studies now investigate if building AI research agents with similar capabilities is possible. To evaluate AI research agents with free-form decision-making capabilities, researchers from Stanford University propose MLAgentBench, the first benchmark of its kind. Join our AI Channel on Whatsapp.

Machine Learning 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

Marktechpost

SEPTEMBER 1, 2023

Artificial intelligence’s allure has long been shrouded in mystique, especially within the enigmatic realm of deep learning. These intricate neural networks, with their complex processes and hidden layers, have captivated researchers and practitioners while obscuring their inner workings. Check out the Paper.

Neural Network 95

Neural Network Deep Learning Categorization Artificial Intelligence 95

Marktechpost

DECEMBER 7, 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.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 107

Marktechpost

JULY 21, 2023

In Study 1, researchers used the facial emotion detection method to analyze the emotional features from the recorded video frames. The Multi-Task Convolutional Neural Network (MTCNN) and VGG19 neural network were used for facial detection and emotional recognition, respectively.

Convolutional Neural Networks 97

Convolutional Neural Networks Machine Learning AI Researcher AI Research 97

Marktechpost

AUGUST 21, 2023

The deep learning method, a machine learning technique inspired by the human brain, has applications in various domains, such as image processing, image recognition, speech recognition, and language translation. The authors have introduced P-DNN as an innovative solution to the reconfigurability problems of ONNs.

Neural Network 94

Neural Network Deep Learning Machine Learning AI Researcher 94

Marktechpost

NOVEMBER 26, 2023

The capacity of a model to use inputs at inference time to modify its behavior without updating its weights to tackle problems that were not present during training is known as in-context learning or ICL. Since then, a substantial amount of research has examined or documented instances of ICL.

Neural Network 128

Neural Network Categorization AI Researcher AI Research 128

Marktechpost

DECEMBER 5, 2023

Machine learning has emerged as a very important tool in healthcare, revolutionizing various aspects of the industry. Earlier, machine learning models were used to detect patients susceptible to infection and support Infection Prevention and Control (IPC) programs.

Machine Learning 93

Machine Learning Neural Network Algorithm AI Researcher 93

Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The use of attribution maps in explaining deep-learning imaging models is discussed, and the study assesses model properties for interpretability.

Deep Learning 89

Deep Learning AI Researcher AI Research Neural Network 89

Marktechpost

AUGUST 15, 2023

Machine Learning (ML) has indeed been undergoing rapid expansion and integration across many fields, revolutionizing how we approach problems and enhancing our ability to extract valuable insights from data. This has been a big problem with neural networks challenging their effectiveness and accuracy.

Machine Learning 85

Machine Learning Neural Network AI AI 85

Marktechpost

DECEMBER 25, 2023

These models are based on leveraging large-scale machine learning techniques, utilizing extensive datasets to navigate the complexities of chaotic systems without relying heavily on domain-specific knowledge. All credit for this research goes to the researchers of this project. Can machine learning predict chaos?

Machine Learning 134

Machine Learning Neural Network AI Researcher AI Research 134

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

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Neural Network Convolutional Neural Networks Robotics Deep Learning 197

Marktechpost

DECEMBER 11, 2023

Although measuring the degree of uncertainty in human judgments is challenging, machine learning methods offer assurance in their forecasts. Nevertheless, many machine learning applications use pretrained models that don’t provide any measure of atypicality. Rather, they only offer confidence levels.

Machine Learning 105

Machine Learning Neural Network Categorization AI Researcher 105

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 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.

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Neural Network Natural Language Processing Deep Learning Artificial Intelligence 130

Marktechpost

DECEMBER 22, 2023

Model pruning focuses on reducing the size of neural networks by removing weights that are deemed non-critical. Also, don’t forget to join our 34k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Machine Learning 124

Machine Learning Large Language Models Neural Network LLM 124

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). If you like our work, you will love our newsletter.

Neural Network 133

Neural Network Categorization Data Scientist Data Analysis 133

Marktechpost

NOVEMBER 28, 2023

With the constant advancements in technology, Artificial Intelligence is successfully enabling computers to think and learn in a manner comparable to that of humans by imitating human brainpower. LLMs are finetuned using the concept of a Machine Learning paradigm called Reinforcement Learning.

Machine Learning 119

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 119

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

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

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

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Researchers developed a Composed image retrieval (CIR) system to have a minimal loss, but the problem with this method was that it requires a large dataset for training the model.

Convolutional Neural Networks 86

Convolutional Neural Networks AI Researcher AI Research Neural Network 86

Marktechpost

NOVEMBER 27, 2023

Researchers from McMaster University and FAIR Meta have developed a new machine learning (ML) technique for orbital-free density functional theory (OF-DFT). It is achieved through continuous normalizing flows that transform electronic density by solving ordinary differential equations using a neural network.

Machine Learning 102

Machine Learning Neural Network ML Algorithm 102