Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. However, for the algorithms of TacticAI, it’s a complex physics problem that is just waiting to be solved through data and prediction. The future of football coaching has arrived – and it’s taking geometric deep learning to heart.

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Marktechpost

SEPTEMBER 1, 2023

Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. In addition, the study highlights that hybrid schemes combining deep learning features with deep learning/machine learning classification can significantly improve authentication performance.

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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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Unite.AI

MARCH 15, 2024

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

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Marktechpost

FEBRUARY 24, 2024

Traditional segmentation methods, such as threshold-based and morphology-based algorithms, have been employed but need help accurately delineating objects in the complex underwater environment where image degradation is common. Researchers increasingly use deep learning techniques for underwater image segmentation to address these challenges.

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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. After the initial segmentation process, the tool uses a region of interest (ROI) placement algorithm to create an elliptical ROI.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?

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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

SEPTEMBER 8, 2023

The results obtained are intriguing and demonstrate the potential of the proposed design method; however, the work could be expanded to more complex MZM models, such as including the electrode-related parameters, or to test other heuristic optimization algorithms, such as particle swarm optimization or genetic algorithms.

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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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Heartbeat

FEBRUARY 21, 2024

Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks using artificial neural networks. Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns.

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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. Using a sophisticated deep learning algorithm, the research team comprehensively analyzed differently expressed genes in mice. We are also on WhatsApp.

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Towards AI

AUGUST 21, 2023

Machine Learning vs. AI vs. Deep Learning vs. Neural Networks: What’s the Difference? The rapid evolution of technology is molding our everyday existence as businesses turn more and more to sophisticated algorithms for efficiency. Machine Learning (ML): Next, machine learning takes the spotlight.

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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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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 Machine Learning?

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Marktechpost

DECEMBER 28, 2023

Based on the mapper algorithm, this recursive splitting and merging procedure builds a discrete approximation of the Reeb graph. The analysis of a chest X-ray dataset revealed incorrect diagnostic annotations, emphasizing the potential of GTDA in identifying errors in deep learning datasets.

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Heartbeat

NOVEMBER 14, 2023

For many years, gradient-boosting models and deep-learning solutions have won the lion's share of Kaggle competitions. XGBoost is not limited to machine learning tasks, as its incredible power can be harnessed when harmonized with deep learning algorithms. 2 (2021): 522–531.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Marktechpost

JANUARY 4, 2024

They build upon parameter offloading algorithms and introduce a novel strategy that capitalizes on the inherent properties of MoE LLMs. 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.

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Marktechpost

JANUARY 2, 2024

However, a recent diagnostic study suggests a promising solution – using retinal photographs coupled with advanced deep-learning algorithms. These algorithms are like smart computer programs trained to recognize patterns and make sense of complex data.

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Marktechpost

AUGUST 8, 2023

This involves the use of Machine Learning and Deep Learning models in this domain. The team of research scientists used deep learning techniques to predict the molecules with a 10 times increase in size as the previously obtained molecules. All Credit For This Research Goes To the Researchers on This Project.

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Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

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Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. What is Deep Learning ? between 2023 to 2030.

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ODSC - Open Data Science

OCTOBER 17, 2023

But without a strong understanding of deep learning, you’ll have a difficult time getting the most out of the cutting-edge developments in the industry. At ODSC West this October 30th to November 2nd, you’ll build the core knowledge and skills you need with the sessions in the deep learning track , such as the ones listed below.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

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Marktechpost

OCTOBER 8, 2023

The research group has already created techniques for using heat maps to demonstrate how AI algorithms make judgments. 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.

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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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Marktechpost

OCTOBER 10, 2023

Deep learning, a machine learning subset, automatically learns complex representations from the input. Convolutional neural networks (CNNs) and vision transformers (ViT), two examples of deep learning models for computer vision, analyze signals by assuming planar (flat) regions. We are also on WhatsApp.

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Marktechpost

DECEMBER 5, 2023

They have introduced a system that leverages Channel State Information (CSI) and advanced deep learning techniques. The system introduces a signal segmentation method using the LSTM algorithm to determine the start and endpoint of human activities accurately. All credit for this research goes to the researchers of this project.

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Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them.

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Marktechpost

JULY 20, 2023

To assist with this problem, researchers develop a U3DTT technology, which stands for ‘underwater three-dimensional tactile tensegrity’ The U3DTT works on deep learning algorithms like Neural networks, Autoencoders, and Boltzmann machines. It also has diverse applications related to deep learning technologies.

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Marktechpost

FEBRUARY 5, 2024

These models, known for their prowess in crafting detailed images from given inputs, have presented unique challenges for data deletion, primarily due to their deep learning nature, which inherently remembers training data. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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