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.

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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.

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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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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

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

AUGUST 8, 2023

As deep learning continues to advance and microphones become more ubiquitous, along with the growing popularity of online services through personal devices, the potential for acoustic side-channel attacks to impact keyboards is on the rise. A team of researchers from the UK have trained an AI model that steals data from the system.

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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

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.

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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.

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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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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?

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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.

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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.

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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.

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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.

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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.

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Marktechpost

MARCH 15, 2024

Traditionally anchored by statistical models like ARIMA, the domain has witnessed a paradigm shift with the advent of deep learning. In a comprehensive benchmark across 42 datasets, including both classical and deep learning models, Chronos demonstrated superior performance. The performance of Chronos is truly impressive.

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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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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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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

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.

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Marktechpost

SEPTEMBER 4, 2023

AIS stands for Androgen Insensitivity Syndrome. AIS is a spinal brain problem that affects the younger generation and makes their lives even worse. The very important thing to note about AIS is that it should be noticed in the early stage. Doctors also use X-rays to detect AIS, but it can be risky.

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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

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

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 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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Marktechpost

DECEMBER 14, 2023

All credit for this research goes to the researchers of this project. 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.

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Marktechpost

OCTOBER 8, 2023

The inherent opacity of their reasoning poses a challenge, making it challenging to apply machine learning models across various relevant application domains. It isn’t easy to understand how an AI system makes its decisions. As a result, CRP describes decisions made by AI in terms that people can comprehend.

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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

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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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.

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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.

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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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Marktechpost

DECEMBER 16, 2023

A recent publication in the Proceedings of the IEEE serves as a documentation of the snnTorch coding library and an educational resource tailored for students and programming enthusiasts keen on delving into brain-inspired AI. All credit for this research goes to the researchers of this project.

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Marktechpost

APRIL 7, 2024

Numerous approaches have been proposed to tackle the task of IE from VRDs, ranging from segmentation algorithms to deep learning architectures that encode visual and textual context. However, many of these methods rely on supervised learning, requiring many human-labeled samples for training.

AI Researcher 110

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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 110

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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.

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