Marktechpost

SEPTEMBER 29, 2024

Google researchers addressed the challenge of variability and subjectivity in clinical experts’ interpretation of visual cardiotocography (CTG), specifically focusing on predicting fetal hypoxia, a dangerous condition of oxygen deprivation during labor, using deep learning techniques. Check out the Paper and Details.

Deep Learning 64

Deep Learning Convolutional Neural Networks AI Research AI Researcher 64

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 125

Neural Network Python Deep Learning Artificial Intelligence 125

Marktechpost

DECEMBER 19, 2023

A new AI research introduces TorchExplorer, a novel AI tool designed for researchers working with unconventional neural network architectures, which provides an interactive and insightful exploration of network layers.

Neural Network 102

Neural Network Deep Learning AI Tools AI Research 102

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.

Neural Network 113

Neural Network Deep Learning Categorization Artificial Intelligence 113

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. The goal is to enhance wider dissemination and acceptance within the development community.

Deep Learning 98

Deep Learning AI Research AI Researcher Neural Network 98

Marktechpost

JULY 2, 2023

The exponentially expanding scale of deep learning models is a major force in advancing the state-of-the-art and a source of growing worry over the energy consumption, speed, and, therefore, feasibility of massive-scale deep learning. What happens if you run a Transformer model with an optical neural network?*

Neural Network 105

Neural Network Deep Learning Computer Vision Machine Learning 105

Marktechpost

SEPTEMBER 10, 2023

Researchers think that high-speed testing using Deep Learning models can help us understand these effects better and speed up catalyst development. The way a catalyst’s surface is shaped matters for certain chemical reactions due to various properties of the catalyst, which we study in Surface Chemistry.

Convolutional Neural Networks 120

Convolutional Neural Networks Neural Network Deep Learning ML 120

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

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.

Neural Network 128

Neural Network Deep Learning Computer Vision Machine Learning 128

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. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

Neural Network 131

Neural Network Deep Learning Algorithm Automation 131

Marktechpost

JULY 7, 2024

Artificial neural networks (ANNs) traditionally lack the adaptability and plasticity seen in biological neural networks. Overall, LNDPs demonstrated superior adaptation speed and learning efficiency, highlighting their potential for developing adaptable and self-organizing AI systems. Check out the Paper.

Neural Network 111

Neural Network Artificial Intelligence Artificial Intelligence Robotics 111

Marktechpost

NOVEMBER 25, 2023

Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. Creating variations of existing samples prevents overfitting and helps the model learn more robust and adaptable features, which is crucial for accurate predictions in real-world scenarios.

Neural Network 116

Neural Network AI Research AI Researcher Deep Learning 116

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. This provides an advantage to NDP as it can operate upon any neural network of arbitrary size or architecture. Join our AI Channel on Whatsapp.

Neural Network 124

Neural Network Deep Learning Automation Algorithm 124

Marktechpost

SEPTEMBER 8, 2023

Researchers suggest a new approach to design using heuristic optimization and artificial neural networks to simplify the optimization process drastically. A deep neural network model replaced the 3D electromagnetic simulation of a Si-based MZM. If you like our work, you will love our newsletter.

Deep Learning 107

Deep Learning Algorithm AI Research AI Researcher 107

Marktechpost

NOVEMBER 8, 2023

Overconfidence is a prevalent issue, particularly in the context of deep neural networks. The team has shared the two primary features of Fortuna that greatly improve deep learning uncertainty quantification. Deep neural networks that are being trained from the start can be trained using these techniques.

Deep Learning 128

Deep Learning Neural Network Machine Learning Artificial Intelligence 128

Marktechpost

OCTOBER 18, 2023

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training.

Deep Learning 124

Deep Learning Neural Network Natural Language Processing Computer Vision 124

Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. DeepMind Researchers introduce TacticAI, an AI assistant designed to optimize one of football’s biggest set-piece weapons: the corner kick. All credit for this research goes to the researchers of this project.

Deep Learning 144

Deep Learning Neural Network Data Mining Artificial Intelligence 144

Marktechpost

DECEMBER 15, 2023

Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks.

Neural Network 130

Neural Network Machine Learning Algorithm Deep Learning 130

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 98

Neural Network Computer Vision AI Research AI Researcher 98

Marktechpost

DECEMBER 28, 2023

Purdue University’s researchers have developed a novel approach, Graph-Based Topological Data Analysis (GTDA), to simplify interpreting complex predictive models like deep neural networks. The method was also applied to study chest X-ray diagnostics and compare deep-learning frameworks, showcasing its versatility.

Deep Learning 121

Deep Learning Data Analysis Neural Network Algorithm 121

Marktechpost

JANUARY 4, 2024

Qu Kun from the University of Science and Technology of the Chinese Academy of Sciences has created a solution called Spatial Architecture Characterization by Deep Learning (SPACEL). The post Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics appeared first on MarkTechPost.

Deep Learning 135

Deep Learning Neural Network Automation Algorithm 135

Marktechpost

SEPTEMBER 3, 2023

Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Methods of biological neuromodulation have inspired several plasticity algorithms in models of neural networks.

Neural Network 135

Neural Network Algorithm Continuous Learning Machine Learning 135

Marktechpost

JULY 24, 2023

With the advent of Machine Learning (ML) and Deep Learning (DL), image and video editing have been progressively studied through several neural network architectures. Check out the paper , code , and project All Credit For This Research Goes To Researchers on This Project.

Neural Network 92

Neural Network Artificial Intelligence Artificial Intelligence AI Research 92

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. The post Meet Equinox: A JAX library for Neural Networks and sciML appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Neural Network 105

Neural Network Machine Learning Data Science AI Research 105

Marktechpost

NOVEMBER 16, 2023

Researchers from MIT investigated the scaling behavior of large chemical language models, focusing on both generative pre-trained transformers (GPT) for chemistry (ChemGPT) and graph neural network force fields (GNNs). All credit for this research goes to the researchers of this project. Check out the Paper.

Deep Learning 104

Deep Learning Neural Network Computer Vision AI 104

Marktechpost

DECEMBER 25, 2023

A considerable amount of research has been done to address this problem, focusing mainly on using artificial neural networks. Therefore, the authors of this research paper from SLAC National Accelerator Laboratory, USA have introduced PtychoPINN. If you like our work, you will love our newsletter.

Deep Learning 122

Deep Learning Neural Network AI Research AI Researcher 122

Marktechpost

OCTOBER 8, 2023

By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. Despite their accurate performance, we must still fully understand how these neural networks function. Join our AI Channel on Whatsapp.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

Marktechpost

DECEMBER 11, 2023

A rising number of people are interested in data-driven, deep learning-based weather forecasting methods to overcome the problems with NWP models. Using historical data, like the ERA5 reanalysis dataset, deep neural networks are trained to forecast future weather conditions.

Neural Network 126

Neural Network Deep Learning Explainability Algorithm 126

Marktechpost

JULY 13, 2023

Molecular scientists are hailing the breakthrough accuracy of deep learning approaches like AlphaFold and RoseTTAFold in identifying the most probable structures for proteins from their amino acid sequences. DiG is a deep learning framework for molecular systems that simulates this procedure.

Deep Learning 98

Deep Learning AI Research AI Researcher Neural Network 98

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 128

Deep Learning AI Modeling Neural Network AI 128

Marktechpost

SEPTEMBER 8, 2023

So, there has been thorough research conducted by the researchers on QPI and thus researchers from the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA) have introduced a new design for multispectral QPI. If you like our work, you will love our newsletter.

Neural Network 111

Neural Network Deep Learning AI Research AI Researcher 111

Marktechpost

NOVEMBER 30, 2023

The constant upliftment of AI and ML approaches has reshaped the possibilities of what machines can accomplish and how humans interact with machines. To overcome the challenge, a team of researchers from Stanford, Kumo AI, Yale, Max Plank, and the University of Illinois at Urbana-Champaign has recently proposed Relational Deep Learning.

Deep Learning 116

Deep Learning Machine Learning Neural Network ML 116

Marktechpost

OCTOBER 1, 2023

Researchers have recently developed Temporal Graph Neural Networks (TGNNs) to take advantage of temporal information in dynamic graphs, building on the success of Graph Neural Networks (GNNs) in learning static graph representation. If you like our work, you will love our newsletter.

Neural Network 130

Neural Network Algorithm AI Research AI Researcher 130

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 142

Neural Network Artificial Intelligence Artificial Intelligence AI 142

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 126

Neural Network Machine Learning Natural Language Processing Computer Vision 126

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. In geological investigations, conventional inversion processes have long been the norm.

Deep Learning 97

Deep Learning ML Neural Network AI Research 97

Unite.AI

SEPTEMBER 29, 2024

Deepgram Deepgram is a cutting-edge speech recognition and transcription platform that leverages advanced AI and deep learning technologies to provide highly accurate and scalable speech-to-text solutions. The API offers a selection of preset voices and supports two model variants optimized for different use cases.

Neural Network 287

Neural Network Deep Learning OpenAI Conversational AI 287