Marktechpost

APRIL 24, 2024

While traditional PAM analysis is time-consuming, recent advancements in deep learning technology offer promising solutions for automating bird species identification from audio recordings. Preliminary research in interpretable deep learning for audio includes deep prototype learning, initially proposed for image classification.

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Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

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Marktechpost

APRIL 6, 2024

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. By applying category theory, the research captures the constraints used in Geometric Deep Learning (GDL) and extends beyond to a wider array of neural network architectures.

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Marktechpost

JANUARY 24, 2024

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.

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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. Overconfidence is a prevalent issue, particularly in the context of deep neural networks.

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Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. Orchid sets a new benchmark in sequence modeling, enabling more efficient deep-learning models to process ever-larger datasets.

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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). One solution to simplify the visualization of ML/DL models is the open-source tool called Netron. This process can be time-consuming and intricate, deterring quick access to model architectures.

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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. Check out the Paper and Github Link.

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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

APRIL 15, 2024

Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. GNNBENCH offers versatile integration with popular deep learning frameworks like PyTorch, TensorFlow, and MXNet, facilitating seamless platform experimentation.

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Marktechpost

FEBRUARY 15, 2024

Deep learning models process WSI by breaking them into smaller regions or tiles and aggregating features to predict biomarkers. The study uses regression-based deep-learning techniques to predict molecular biomarkers from pathology slides. Check out the Paper.

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AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.

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Marktechpost

MAY 5, 2024

They also clarify how the deep learning structure of neural operators dilutes local dependency. Specifically, in generic transport problems, information beyond the local-dependent region introduces noise, impeding the ML model’s ability to capture genuine physical patterns.

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Marktechpost

MARCH 5, 2024

Deep Learning models have revolutionized our ability to process and understand vast amounts of data. However, a vast portion of the digital world comprises binary data, the fundamental building block of all digital information, which still needs to be explored by current deep-learning models.

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Marktechpost

OCTOBER 28, 2023

But, recent advancements in the field of artificial intelligence have paved the way for a new strategy. Harnessing the power of deep learning algorithms, researchers have delved into predictive medicine to discover potential treatments for osteoporosis. If you like our work, you will love our newsletter.

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Marktechpost

FEBRUARY 14, 2024

In recent years, notable advancements in the design and training of deep learning models have led to significant improvements in image recognition performance, particularly on large-scale datasets. With its deep learning capabilities, Hawkeye offers a comprehensive solution tailored specifically for FGIR tasks.

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Pickl AI

APRIL 25, 2023

Artificial Intelligence is a transformative technology that popularly utilizes in the global platform. Technology has enabled machines to learn and work on their own allowing businesses to find new possibilities at work. What are the 5 Important Subsets of AI (Artificial Intelligence)? What is Machine Learning?

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Marktechpost

MARCH 31, 2024

Deep learning, using designs like U-Nets, is popular for working with information at multiple levels of detail. By innovatively tackling the challenge of temporal misalignment, it offers a robust framework that marries the complexity of PDEs with the predictive power of deep learning.

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Marktechpost

SEPTEMBER 6, 2023

Artificial Intelligence finds its way into almost every possible field. Artificial Intelligence and Deep Learning models also play an important role in Seismiography as they are used to predict earthquakes. They used Deep Learning behind this model, as it is useful for handling larger datasets.

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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.

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Towards AI

MARCH 5, 2023

Get ahead in the AI game with our top picks for laptops that are perfect for machine learning, data science, and deep learning at every budget. Last updated March 5, 2023 Are you tired of endlessly scouring the internet for the perfect laptop to power your machine learning, deep learning, and data science projects?

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PyImageSearch

JANUARY 30, 2023

Even though Artificial Intelligence (AI) is likely to replace millions of workers, it has great potential to enable them to keep up with changing technologies and remain valuable to the country. This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector.

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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.

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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. Check out the Paper. We are also on WhatsApp.

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Marktechpost

JANUARY 10, 2024

The first perspective discussed using deep learning to pre-process intensity measurements before phase recovery. In the second perspective, the researchers focused on the Deep-learning-post-processing technique for phase recovery. They used deep learning during the phase recovery process.

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Marktechpost

OCTOBER 8, 2023

The field of Machine Learning and Artificial Intelligence has become very important. Dr. Sebastian Lapuschkin, head of the research group Explainable Artificial Intelligence at Fraunhofer HHI, explains the new technique in more detail. We have new advancements that have been there with each day.

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Analytics Vidhya

FEBRUARY 28, 2024

Thanks to the innovative platform Runway ML, this captivating feat is now within reach.

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Marktechpost

JANUARY 10, 2024

Researchers have developed an innovative tool that utilizes deep learning technology to automate bone mineral density (DL-BMD) measurements to address these challenges. Join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Also, don’t forget to follow us on Twitter.

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Marktechpost

AUGUST 24, 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. With over 2.5 million members.

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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.

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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

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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Towards AI

JANUARY 9, 2024

In other words, we all want to get directly into Deep Learning. But this is really a mistake if you want to take studying Machine Learning seriously and get a job in AI. Machine Learning fundamentals are not 100% the same as Deep Learning fundamentals and are perhaps even more important.

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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. The key points of the paper can be divided into three parts. Check out the Paper.

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Marktechpost

APRIL 18, 2024

Don’t Forget to join our 40k+ ML SubReddit For Content Partnership, Please Fill Out This Form Here. The post Megalodon: A Deep Learning Architecture for Efficient Sequence Modeling with Unlimited Context Length appeared first on MarkTechPost. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Deep Learning Natural Language Processing ML Artificial Intelligence 97

Analytics Vidhya

APRIL 26, 2022

Introduction on Binary Classification Artificial Intelligence, Machine Learning and Deep Learning are transforming various domains and industries. ML is used in healthcare for a variety of purposes. This article was published as a part of the Data Science Blogathon.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Deep Learning?

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