Marktechpost

DECEMBER 18, 2023

Music generation using deep learning involves training models to create musical compositions, imitating the patterns and structures found in existing music. Deep learning techniques are commonly used, such as RNNs, LSTM networks, and transformer models. If you like our work, you will love our newsletter.

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Unite.AI

FEBRUARY 6, 2025

AI and machine learning (ML) are reshaping industries and unlocking new opportunities at an incredible pace. There are countless routes to becoming an artificial intelligence (AI) expert, and each persons journey will be shaped by unique experiences, setbacks, and growth.

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Artificial Intelligence Artificial Intelligence ML Responsible AI 165

Marktechpost

JANUARY 4, 2024

To overcome these limitations, a group of researchers headed by Prof. 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 first module, Sprint, tackles the cell-type deconvolution task.

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Marktechpost

NOVEMBER 26, 2023

Deep learning is being used in all spheres of life. It has a big impact on biomedical research. Researchers at the University of California, San Diego, have formulated a new deep-learning platform that can be quickly and easily adapted to suit various genomics projects. It has its utility in every field.

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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.

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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. A number of approaches capable of estimating and calibrating uncertainty in ML have been developed.

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Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. 11-777 appeals to researchers building embodied AI or multimedia systems.

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Deep Learning NLP Machine Learning Robotics 40

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.

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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 102

Deep Learning ML Neural Network AI Researcher 102

AI Weekly

DECEMBER 19, 2024

sciencedirect.com AI, Generative AI vs Machine Learning vs Deep Learning: Understanding the Differences In our increasingly tech-savvy world, buzzwords like AI (Artificial Intelligence), ML (Machine Learning), DL (Deep Learning), and GenAI (Generative AI) dominate conversations.

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Robotics Artificial Intelligence Artificial Intelligence Deep Learning 147

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 122

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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.

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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.

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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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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 118

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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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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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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

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 130

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

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 109

Deep Learning Explainability AI Research AI Researcher 109

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 120

Deep Learning Computer Vision Automation AI Researcher 120

Marktechpost

NOVEMBER 23, 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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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.

Deep Learning 123

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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 117

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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.

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Deep Learning Auto-classification Auto-complete BERT 128

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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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

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 106

Deep Learning AI Researcher AI Research ML 106

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 120

Deep Learning Algorithm AI Researcher AI Research 120

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.

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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

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Marktechpost

SEPTEMBER 4, 2023

Also, don’t forget to join our 29k+ 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 125

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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.

Deep Learning 109

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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

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 109

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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.

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