Marktechpost

NOVEMBER 22, 2023

Even though edge devices often handle deep learning tasks, the training of deep neural networks usually happens on powerful cloud GPU servers. However, existing training frameworks are specifically for powerful cloud servers with accelerators, which must be optimized to enable effective learning on edge devices.

Deep Learning 94

Deep Learning Machine Learning Neural Network AI Chatbots 94

Marktechpost

NOVEMBER 8, 2023

The recent developments in the fields of Artificial Intelligence and Machine Learning have made everyone’s lives easier. With their incredible capabilities, AI and ML are diving into every industry and solving problems. All credit for this research goes to the researchers of this project.

Deep Learning 116

Deep Learning Neural Network Machine Learning ML 116

Marktechpost

DECEMBER 28, 2023

Modern object detection algorithms rely heavily on deep learning models that have been trained end-to-end. Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Machine Learning 93

Machine Learning AI Researcher AI Research Deep Learning 93

Marktechpost

NOVEMBER 23, 2023

Researchers have introduced a novel approach using topological data analysis (TDA), to solve the issue. These models, including machine learning, neural networks, and AI models, have become standard tools in various scientific fields but are often difficult to interpret due to their extensive parameterization.

Deep Learning 120

Deep Learning AI Modeling Neural Network AI 120

Marktechpost

MARCH 9, 2024

In recent years, machine learning has significantly shifted away from the assumption that training and testing data come from the same distribution. Researchers have identified that models perform better when handling data from multiple distributions. All credit for this research goes to the researchers of this project.

Machine Learning 128

Machine Learning Deep Learning AI AI 128

Marktechpost

SEPTEMBER 8, 2023

Also, don’t forget to join our 30k+ ML SubReddit , 40k+ 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.

Deep Learning 89

Deep Learning Algorithm AI Researcher AI Research 89

Marktechpost

OCTOBER 8, 2023

The field of Machine Learning and Artificial Intelligence has become very important. The intricate and nonlinear nature of deep neural networks (DNNs) often leads to conclusions that may exhibit bias towards undesired or undesirable traits. It isn’t easy to understand how an AI system makes its decisions.

Deep Learning 135

Deep Learning Neural Network Explainability Artificial Intelligence 135

Marktechpost

SEPTEMBER 6, 2023

There has been vast research going on in this domain. Artificial Intelligence and Deep Learning models also play an important role in Seismiography as they are used to predict earthquakes. They used Deep Learning behind this model, as it is useful for handling larger datasets. We are still a lot to discover.

Deep Learning 80

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 80

Marktechpost

AUGUST 15, 2023

Johns Hopkins Engineers and Cancer Researchers have collaboratively pioneered a breakthrough in personalized cancer therapy with their cutting-edge deep-learning technology. Initially, BigMHC learned to identify antigens presented on the cell surface, a phase of the immune response with abundant available data.

Deep Learning 98

Deep Learning Machine Learning AI Researcher AI Research 98

Marktechpost

JULY 2, 2023

Rather than using the traditional approach of processing array representations like pixels, recent work has proposed a framework called functa for performing deep learning directly on these field representations. They perform well in many research areas, including generation, inference, and classification. Want to support us?

Deep Learning 87

Deep Learning AI Researcher AI Research Neural Network 87

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

DECEMBER 16, 2023

On the other hand, a multilayer perceptron (MLP) is a type of neural network used in machine learning. Researchers from Stanford University have introduced a new machine learning model called PLATO, which leverages a KG to provide auxiliary domain information. Each input feature resembles a node in an auxiliary KG.

Machine Learning 79

Machine Learning Deep Learning Neural Network AI 79

Marktechpost

NOVEMBER 25, 2023

Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine learning purposes. If you like our work, you will love our newsletter.

Machine Learning 120

Machine Learning Large Language Models Artificial Intelligence Artificial Intelligence 120

Marktechpost

DECEMBER 8, 2023

Deep learning is finding its utility in all aspects of life. Its applications span diverse fields, from image and speech recognition to medical diagnosis and autonomous vehicles, showcasing its transformative potential in revolutionizing how machines comprehend and respond to information. It has become successful in robotics.

Deep Learning 123

Deep Learning Robotics Algorithm AI Researcher 123

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. Using insufficiently large or imbalanced datasets to train or evaluate a machine learning model may result in systemic biases in model performance.

Machine Learning 82

Machine Learning Data Scarcity Algorithm AI Researcher 82

Marktechpost

AUGUST 19, 2023

A team of researchers from Chongqing University designed a new system that could enhance these nanohole arrays into structural colors. They also used various Machine Learning models in designing this system. To predict the structural colors of these arrays the researchers developed two Deep Learning models CSC and CSS.

Deep Learning 91

Deep Learning Computer Vision Machine Learning AI 91

Marktechpost

NOVEMBER 27, 2023

Recently, deep learning has been marked by a surge in research aimed at optimizing models for dynamic sparsity. The state-of-the-art solutions in sparsity-aware deep learning have traditionally grappled with predefined, static sparsity patterns. All credit for this research goes to the researchers of this project.

Deep Learning 81

Deep Learning AI Researcher AI Research ML 81

Marktechpost

NOVEMBER 30, 2023

Addressing this challenge, a study by researchers from Tokyo University of Science (TUS), Japan, in collaboration with esteemed institutions, introduced a new deep learning model. If you like our work, you will love our newsletter.

Deep Learning 85

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 85

Marktechpost

OCTOBER 10, 2023

Deep learning, a machine learning subset, automatically learns complex representations from the input. Convolutional neural networks (CNNs) and vision transformers (ViT), two examples of deep learning models for computer vision, analyze signals by assuming planar (flat) regions.

Deep Learning 100

Deep Learning Convolutional Neural Networks Neural Network Computer Vision 100

Marktechpost

DECEMBER 29, 2023

Consequently, the researchers of Plant Phenomics have introduced BarbNet, a deep-learning model designed specifically for the automated detection and phenotyping of barbs in microscopic images of awns. Despite their importance is evident, analyzing these small structures has been challenging due to the lack of automated tools.

Deep Learning 111

Deep Learning Automation Convolutional Neural Networks Neural Network 111

NVIDIA

OCTOBER 6, 2023

Researchers from the Universities of California at Berkeley and Santa Cruz, and the Technical University of Munich recently released a paper describing a new model that delivers deep learning to earthquake forecasting. There’s a ton of room for improvement within the forecasting side of things.

Deep Learning 83

Deep Learning Natural Language Processing Neural Network Machine Learning 83

Marktechpost

SEPTEMBER 4, 2023

Lately, there have been significant strides in applying deep neural networks to the search field in machine learning, with a specific emphasis on representation learning within the bi-encoder architecture. million passages extracted from the web. The growing popularity of embedding APIs supports our arguments.

AI Researcher 121

AI Researcher AI Research OpenAI Neural Network 121

Marktechpost

NOVEMBER 24, 2023

While non-linear mixed-effects modeling is common in pharmacometrics, machine learning has been underutilized for deriving metrics. 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.

Deep Learning 98

Deep Learning Neural Network ML Machine Learning 98

Marktechpost

OCTOBER 5, 2023

These systems harness the power of machine learning models to continuously analyze a driver’s face orientation in real-time, determining their attentiveness to the road or any distractions that may be at play, such as texting or drowsiness. If you like our work, you will love our newsletter.

Deep Learning 85

Deep Learning Computer Vision Machine Learning AI Researcher 85

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications.

Neural Network 122

Neural Network Machine Learning Natural Language Processing Computer Vision 122

Marktechpost

JANUARY 4, 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.

Deep Learning 113

Deep Learning AI AI AI Researcher 113

Marktechpost

DECEMBER 14, 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. Why do many autoregressive deep learning models for physical dynamics diverge over even moderate forecast horizons?

Deep Learning 98

Deep Learning AI AI AI Researcher 98

Marktechpost

DECEMBER 20, 2023

Researchers from Northwestern University have developed deep learning models to understand this better across the entire human genome. The new deep learning model overcomes these challenges. To sum up, creating these deep learning models is a big step toward comprehending the intricate world of polyadenylation.

Deep Learning 92

Deep Learning AI Researcher AI Research ML 92

Marktechpost

DECEMBER 15, 2023

Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. 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.

Neural Network 121

Neural Network Machine Learning Algorithm Deep Learning 121

Marktechpost

DECEMBER 25, 2023

Researchers from the University of Texas at Austin Introduce a new spectrum of domain-agnostic models diverging from traditional physics-based approaches. The novel methodology employs large-scale, overparametrized statistical learning models, such as transformers and hierarchical neural networks. Can machine learning predict chaos?

Machine Learning 134

Machine Learning Neural Network AI Researcher AI Research 134

Marktechpost

DECEMBER 27, 2023

Privacy in machine learning models has become a critical concern owing to Membership Inference Attacks (MIA). MIA’s scope spans various scenarios, from statistical models to federated and privacy-preserving machine learning. All credit for this research goes to the researchers of this project.

Machine Learning 95

Machine Learning Deep Learning Algorithm AI Researcher 95

Marktechpost

JULY 5, 2023

This is where machine learning techniques are proven to be useful. However, the main distinction in weather forecasting, spatial downscaling, and other CV tasks is that the machine learning model needs to utilize exogenous inputs in various modalities.

Machine Learning 87

Machine Learning Python Convolutional Neural Networks Neural Network 87

Marktechpost

DECEMBER 12, 2023

The FGS has been used to predict facial landmark placements and pain scores by utilizing deep neural networks and machine learning models. The post These Fully Automated Deep Learning Models Can Be Used For Pain Prediction Using The Feline Grimace Scale (FGS) With Smartphone Integration appeared first on MarkTechPost.

Deep Learning 88

Deep Learning Automation Convolutional Neural Networks Neural Network 88

Marktechpost

DECEMBER 22, 2023

Researchers from Lebanese American University and United Arab Emirates University have collaborated to employ artificial intelligence (AI) successfully through the Scale Conjugate Gradient Neural Network (SCJGNN), providing numerical solutions for the language-based learning model.

Deep Learning 57

Deep Learning Categorization Neural Network Artificial Intelligence 57

Marktechpost

DECEMBER 2, 2023

Researchers from the Lawrence Berkeley National Laboratory and Google DeepMind have published two papers in Nature demonstrating the potential of our AI predictions for autonomous material synthesis. GNoME exemplifies the promise of AI in the large-scale discovery and development of novel materials. million new crystals.

Deep Learning 116

Deep Learning Machine Learning AI Tools AI Researcher 116

AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

Robotics 202

Robotics Deep Learning Artificial Intelligence Artificial Intelligence 202

Marktechpost

JULY 11, 2023

To have a discovery via a Machine Learning algorithm, we need to have a large dataset of training data. This can be solved via Machine Learning and Deep Learning approaches. The team of researchers created a Machine Learning model that automatically learns the language of molecules.

Machine Learning 94

Machine Learning Deep Learning AI Tools Algorithm 94