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.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

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. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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Marktechpost

JANUARY 2, 2024

Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers.

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Neural Network Deep Learning Machine Learning ML 130

Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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Deep Learning Python Large Language Models Natural Language Processing 98

Marktechpost

SEPTEMBER 6, 2023

Artificial Intelligence finds its way into almost every possible field. 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. We are still a lot to discover.

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Marktechpost

DECEMBER 16, 2023

The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” This publication offers candid insights into the convergence of neuroscience principles and deep learning methodologies.

Neural Network 107

Neural Network Deep Learning Python Artificial Intelligence 107

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

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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.

Deep Learning 136

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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.

Deep Learning 106

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Marktechpost

MARCH 14, 2024

The world of programming is evolving thanks to AI technologies. It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate. Some could see this negatively, while others think AI will speed up the process of writing better code.

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Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 118

Flipboard

SEPTEMBER 12, 2023

(AI2 / Satlas Image) Geospatial data analysis promises to revolutionize the way agriculture, urban planning and disaster relief is done — and thanks to a variety of projects that make use of artificial intelligence, Microsoft and Seattle’s Allen Institute for AI are part of that revolution. meters per pixel.

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Marktechpost

OCTOBER 19, 2023

A type of deep learning model architecture is called Transformers in the context of many state-of-the-art AI models. They have revolutionized the field of artificial intelligence, particularly in natural language processing and various other tasks in machine learning. Join our AI Channel on Whatsapp.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Natural Language Processing Deep Learning 120

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 119

Deep Learning AI AI AI Researcher 119

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 108

Deep Learning Explainability AI Researcher AI Research 108

Marktechpost

OCTOBER 8, 2023

The field of Machine Learning and Artificial Intelligence has become very important. The research group has already created techniques for using heat maps to demonstrate how AI algorithms make judgments. Join our AI Channel on Whatsapp. We have new advancements that have been there with each day.

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Deep Learning Neural Network Explainability Artificial Intelligence 140

Marktechpost

NOVEMBER 3, 2023

However, these edge-AI devices encounter a significant roadblock known as the von Neumann bottleneck, wherein memory-bound computational tasks, particularly those related to deep learning and AI, lead to an overwhelming need for data access, outstripping the capabilities of local computation within traditional algorithmic logic units.

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Artificial Intelligence Artificial Intelligence Deep Learning Algorithm 116

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

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 98

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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

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.

Deep Learning 120

Deep Learning Data Analysis Neural Network Algorithm 120

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 99

Deep Learning AI Researcher AI Research ML 99

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 143

Marktechpost

NOVEMBER 1, 2023

Artificial intelligence (AI), particularly deep learning (DL), has found growing applications in the field of medical imaging and healthcare. A substantial portion of the research related to DL has concentrated on retrospectively assessing model performance using validated datasets with known ground-truth labels.

Deep Learning 97

Deep Learning Artificial Intelligence Artificial Intelligence AI Researcher 97

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.

Deep Learning 130

Deep Learning Robotics Algorithm AI Researcher 130

Marktechpost

JULY 20, 2023

The problem statement was very clear in front of the research group that they have to build a technology that reaches each part and gives us appropriate data regarding the deep sea environment. The deep learning-based AUV, the U3DTT, which was integrated with an AUV, was successfully launched.

Deep Learning 98

Deep Learning Robotics Neural Network Artificial Intelligence 98

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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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

Deep Learning AI AI AI Researcher 117

Marktechpost

JANUARY 2, 2024

However, a recent diagnostic study suggests a promising solution – using retinal photographs coupled with advanced deep-learning algorithms. The study’s findings showcased outstanding performance metrics for the deep learning models.

Deep Learning 73

Deep Learning Algorithm Artificial Intelligence Artificial Intelligence 73

Marktechpost

DECEMBER 17, 2023

Deep learning has the potential to enhance molecular docking by improving scoring functions. Two new protocols, GLOW and IVES, developed by researchers from Stanford University, address this challenge, demonstrating enhanced pose sampling efficacy. Deep learning can enhance accuracy but relies on effective pose sampling.

Deep Learning 92

Deep Learning Python AI Researcher AI Research 92

Marktechpost

NOVEMBER 9, 2023

Also, don’t forget to join our 32k+ 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. We are also on Telegram and WhatsApp.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Large Language Models Neural Network 143

Marktechpost

DECEMBER 15, 2023

Researchers expect that increasing average temperatures will cause extreme precipitation events to further. The researchers of Karlsruhe Institute of Technology (KIT) have harnessed the power of artificial intelligence (AI) to enhance the precision of coarse precipitation maps generated by global climate models.

Deep Learning 102

Deep Learning Convolutional Neural Networks Neural Network Artificial Intelligence 102

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. These advancements highlight the effectiveness of the proposed method.

Deep Learning 108

Deep Learning Categorization AI Researcher AI Research 108

Marktechpost

APRIL 19, 2024

Google AI researchers showed how a joint model combining sound separation and ASR could benefit from hybrid datasets, including large amounts of simulated audio and small amounts of real recordings. This approach achieves accurate speech recognition on augmented reality (AR) glasses, particularly in noisy and reverberant environments.

Deep Learning 103

Deep Learning AI Researcher AI Research ML 103

AI Weekly

MARCH 21, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. theguardian.com Saudi Arabia Plans $40 Billion Push Into AI The Middle Eastern country is creating a gigantic fund to invest in A.I. technology, potentially becoming the largest player in the hot market.

Convolutional Neural Networks 193

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 193

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

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

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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.

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Deep Learning Convolutional Neural Networks Neural Network Categorization 108