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. This is where visualizations in ML come in.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Marktechpost

JANUARY 3, 2024

Addressing these challenges, a UK-based research team introduced a hybrid method, merging deep learning and traditional computer vision techniques to enhance tracking accuracy for fish in complex experiments. The deep learning part involves the use of object detection and tracking.

Deep Learning 119

Deep Learning Computer Vision Automation AI Researcher 119

Marktechpost

SEPTEMBER 8, 2023

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Deep Learning 105

Deep Learning Algorithm AI Researcher AI Research 105

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.

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Deep Learning ML Neural Network AI Researcher 96

Marktechpost

NOVEMBER 27, 2023

In response, a team of researchers from Salus Security (China) introduced a novel AI solution named “Lightning Cat” that leverages deep learning techniques for smart contract vulnerability detection. All credit for this research goes to the researchers of this project. Check out the Paper.

Deep Learning 118

Deep Learning AI AI AI Researcher 118

Marktechpost

DECEMBER 5, 2023

University Teknikal Malaysia Melaka (UTeM) researchers have formulated an approach to Human Activity Recognition (HAR) to tackle traditional limitations. They have introduced a system that leverages Channel State Information (CSI) and advanced deep learning techniques. If you like our work, you will love our newsletter.

Deep Learning 107

Deep Learning AI Researcher AI Research Algorithm 107

Marktechpost

NOVEMBER 30, 2023

Conducting an integrative literature review, the study analyzes 32 studies meeting specific criteria in poverty prediction, survey data, satellite imagery, and deep neural networks. The use of attribution maps in explaining deep-learning imaging models is discussed, and the study assesses model properties for interpretability.

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Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

DECEMBER 8, 2023

Deep learning is finding its utility in all aspects of life. The data-centric nature of deep learning impedes its ability to generalize effectively in the face of continually changing surroundings.’ PyPose is a powerful example of blending age-old robotics techniques with the latest innovations in deep learning.

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Deep Learning Robotics Algorithm AI Researcher 130

Marktechpost

JANUARY 4, 2024

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Deep Learning 128

Deep Learning AI AI AI Researcher 128

Marktechpost

NOVEMBER 30, 2023

In the rapidly advancing fields of Artificial Intelligence (AI) and Machine Learning (ML), finding effective, automated, and adaptable approaches has become significantly crucial. The constant upliftment of AI and ML approaches has reshaped the possibilities of what machines can accomplish and how humans interact with machines.

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Deep Learning Machine Learning Neural Network ML 113

Marktechpost

OCTOBER 28, 2023

Harnessing the power of deep learning algorithms, researchers have delved into predictive medicine to discover potential treatments for osteoporosis. However, the researchers aimed to reprogram these cells to combat the disease at its source. Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Deep Learning Algorithm Artificial Intelligence Artificial Intelligence 112

Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. However, traditional methods struggle to scale deep learning models efficiently without causing performance bottlenecks or requiring excessive computational power.

Deep Learning 120

Deep Learning Natural Language Processing Computer Vision AI Researcher 120

Marktechpost

NOVEMBER 23, 2023

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Deep Learning 127

Deep Learning AI Modeling Neural Network Machine Learning 127

Marktechpost

DECEMBER 28, 2023

The analysis of a chest X-ray dataset revealed incorrect diagnostic annotations, emphasizing the potential of GTDA in identifying errors in deep learning datasets. The researchers compared GTDA with traditional methods such as tSNE and UMAP across different datasets, showing the efficacy of GTDA in providing detailed insights.

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Deep Learning Data Analysis Neural Network Algorithm 119

Marktechpost

OCTOBER 11, 2023

The recently published research paper aims to address this challenge and shed light on alternative splicing regulation using a novel deep-learning model. Researchers have historically relied on traditional methods to study alternative splicing in the realm of gene regulation. Join our AI Channel on Whatsapp.

Deep Learning 112

Deep Learning Neural Network AI AI 112

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.

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Deep Learning Automation Convolutional Neural Networks Neural Network 127

Marktechpost

DECEMBER 22, 2023

Recent advancements led a team of scientists to develop a novel approach utilizing deep learning, a computer program capable of learning patterns and making predictions. The post MIT Researchers Find New Class of Antibiotic Candidates Using Deep Learning appeared first on MarkTechPost.

Deep Learning 107

Deep Learning Explainability AI Researcher AI Research 107

Marktechpost

OCTOBER 18, 2023

In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training. This deep learning compiler has been developed with a sync-free optimizer implementation. Another important feature of this deep-learning compiler is compiler caching.

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Deep Learning Neural Network Natural Language Processing Computer Vision 122

Marktechpost

NOVEMBER 16, 2023

Thanks to developments in deep learning approaches, the capability of image analysis algorithms has been greatly enhanced. As a result of improvements in data storage, processing speed, and algorithm quality, larger samples have been used in radiological research. If you like our work, you will love our newsletter.

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Deep Learning Data Scientist Algorithm Python 140

Marktechpost

NOVEMBER 25, 2023

The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. They believe the proposed computational paradigm shows tremendous promise in connecting deep learning theory and practice from a unified viewpoint of data compression.

Deep Learning 128

Deep Learning Auto-classification Auto-complete BERT 128

Marktechpost

NOVEMBER 7, 2023

Researchers from the University of Tokyo have developed a deep learning model called 3D-Memory In Memory (3D-MIM) to predict the expansion of a supernova (SN) shell following a SN explosion. The researchers developed the 3D-MIM deep learning model for this purpose. We are also on Telegram and WhatsApp.

Deep Learning 116

Deep Learning AI AI AI Researcher 116

Marktechpost

OCTOBER 8, 2023

Also, don’t forget to join our 31k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

Marktechpost

NOVEMBER 30, 2023

This research delves into a pressing concern within pathology – the significant carbon dioxide equivalent (CO2eq) emissions associated with integrating deep learning. A prevailing trend toward increasing complexity characterizes the trajectory of current deep-learning model architectures.

Deep Learning 104

Deep Learning AI Researcher AI Research ML 104

Marktechpost

OCTOBER 2, 2023

The Korean Research Institute of Standards and Science researchers have developed a technology based on deep learning techniques that enables real-time 3D measurements using a single-sot pattern projection method. All Credit For This Research Goes To the Researchers on This Project.

Deep Learning 118

Deep Learning Algorithm AI Researcher AI Research 118

Marktechpost

JANUARY 4, 2024

This approach is particularly effective for deep learning models that follow a fixed layer order, enabling pre-dispatch of the next layer’s parameters in the background. The post This Paper Explores Deep Learning Strategies for Running Advanced MoE Language Models on Consumer-Level Hardware appeared first on MarkTechPost.

Deep Learning 109

Deep Learning Large Language Models Algorithm AI Researcher 109

Marktechpost

SEPTEMBER 4, 2023

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Deep Learning 124

Deep Learning Computer Vision Categorization AI 124

Marktechpost

DECEMBER 25, 2023

Therefore, the authors of this research paper from SLAC National Accelerator Laboratory, USA have introduced PtychoPINN. This unsupervised neural network reconstruction method retains a significant speedup of previous deep learning-based methods while improving the quality simultaneously.

Deep Learning 120

Deep Learning Neural Network AI Researcher AI Research 120

Marktechpost

DECEMBER 3, 2023

PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem of predicting protein-peptide binding residues. All credit for this research goes to the researchers of this project.

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Deep Learning Categorization AI Researcher AI Research 108

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 98

Deep Learning AI Researcher AI Research ML 98

Marktechpost

NOVEMBER 16, 2023

A new research paper presents a deep learning-based classifier for age-related macular degeneration (AMD) stages using retinal optical coherence tomography (OCT) scans. The research details creating a deep learning-based system for automated AMD detection and staging using retinal OCT scans.

Deep Learning 108

Deep Learning Convolutional Neural Networks Neural Network Categorization 108

Marktechpost

NOVEMBER 16, 2023

The experimental results and insights contribute to understanding the resource efficiency of different model architectures in scientific deep learning applications. All credit for this research goes to the researchers of this project. Check out the Paper. If you like our work, you will love our newsletter.

Deep Learning 103

Deep Learning Neural Network Computer Vision AI 103

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. Graph-based ML models also lose important details about where the things are placed when molecules stick to each other. If you like our work, you will love our newsletter.

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Deep Learning ML 118

Marktechpost

DECEMBER 9, 2024

The research team proposed to evaluate the effectiveness of FS-PGD and FS-C&W against deep learning-based modulation classifiers. Dont Forget to join our 60k+ ML SubReddit. Experiments used ten modulation schemes and 2720 data blocks per type.

Deep Learning 80

Deep Learning Algorithm AI Researcher AI Research 80

Marktechpost

SEPTEMBER 4, 2023

The standard development queries and queries from the TREC 2019 and TREC 2020 Deep Learning Tracks were used for evaluation. All Credit For This Research Goes To the Researchers on This Project. The experiments focused on the MS MARCO passage ranking test collection, built on a corpus comprising approximately 8.8

AI Researcher 131

AI Researcher AI Research OpenAI Neural Network 131

Marktechpost

DECEMBER 14, 2023

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Deep Learning 108

Deep Learning AI AI AI Researcher 108

Marktechpost

DECEMBER 17, 2023

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Neural Network 107

Neural Network Deep Learning Data Analysis AI Researcher 107

Marktechpost

OCTOBER 4, 2023

In a groundbreaking development, a team of researchers from the Bioengineering Center and the Computational Health Center at Helmholtz Munich, in collaboration with the Technical University of Munich, has unveiled a deep-learning framework called DeepMB. All Credit For This Research Goes To the Researchers on This Project.

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Deep Learning Neural Network Algorithm AI 116