insideBIGDATA

OCTOBER 22, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 480

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insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

Deep Learning 464

Deep Learning Deep Learning Machine Learning Machine Learning 464

insideBIGDATA

FEBRUARY 15, 2023

This paper is a major turning point in deep learning research. In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “Attention Is All You Need.”

Natural Language Processing 497

Natural Language Processing Deep Learning Deep Learning Big Data 497

insideBIGDATA

JANUARY 18, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 513

Big Data Big Data Deep Learning Deep Learning 513

Analytics Vidhya

FEBRUARY 27, 2025

As part of #OpenSourceWeek Day 4, DeepSeek introduces 2 new tools to make deep learning faster and more efficient: DualPipe and EPLB. These tools help improve how computers handle calculations and communication during training, making the process smoother and quicker.

Deep Learning 187

Deep Learning Deep Learning Analytics Analytics 187

insideBIGDATA

MARCH 7, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 515

Deep Learning Deep Learning Big Data Big Data 515

Analytics Vidhya

OCTOBER 14, 2024

They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidhya.

Deep Learning 223

Deep Learning Deep Learning Analytics Analytics 223

insideBIGDATA

JANUARY 17, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 482

Big Data Big Data Deep Learning Deep Learning 482

insideBIGDATA

OCTOBER 11, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 474

Big Data Big Data Deep Learning Deep Learning 474

Flipboard

MARCH 24, 2025

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not.

Deep Learning 180

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insideBIGDATA

APRIL 17, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 459

Big Data Big Data Deep Learning Deep Learning 459

insideBIGDATA

MAY 8, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 444

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insideBIGDATA

JUNE 6, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 433

Deep Learning Deep Learning Big Data Big Data 433

Machine Learning Research at Apple

APRIL 20, 2025

This week, the Thirteenth International Conference on Learning Representations (ICLR) will be held in Singapore. ICLR brings together leading experts on deep learning and the application of representation

Machine Learning 213

Machine Learning Machine Learning Deep Learning Deep Learning 213

KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 379

Data Science Deep Learning Deep Learning Business Intelligence 379

insideBIGDATA

OCTOBER 23, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 418

Deep Learning Deep Learning Big Data Big Data 418

KDnuggets

OCTOBER 8, 2024

With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.

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Deep Learning Deep Learning 329

insideBIGDATA

DECEMBER 10, 2023

Welcome insideBIGDATA AI News Briefs Bulletin Board, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers.

Deep Learning 406

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Machine Learning Mastery

MARCH 28, 2025

Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. Specifically, you will learn: What problems do the transformer models address What is… It is a type of neural network that is designed to process sequential data, such as text.

Natural Language Processing 268

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Data Science Dojo

FEBRUARY 13, 2025

The notable features of the IEEE conference are: Cutting-Edge AI Research & Innovations Gain exclusive insights into the latest breakthroughs in artificial intelligence, including advancements in deep learning, NLP, and AI-driven automation.

AI 294

AI Big Data Big Data AI 294

Hacker News

APRIL 28, 2025

Relational Graph Transformers represent the next evolution in Relational Deep Learning, allowing AI systems to seamlessly navigate and learn from data spread across multiple tables.

Data Pipeline 122

Data Pipeline Deep Learning Deep Learning Database 122

Flipboard

MAY 27, 2025

Recent advances in imaging and computation have enabled analysis of large three-dimensional (3D) biological datasets, revealing spatial composition,

Deep Learning 164

Deep Learning Deep Learning Computer Science Computer Science 164

Hacker News

APRIL 13, 2025

The canonical deep learning approach for learning requires computing a gradient term at each layer by back-propagating the error signal from the output towards each learnable parameter.

Deep Learning 138

Deep Learning Deep Learning Algorithm 138

Data Science Dojo

NOVEMBER 10, 2023

Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research. It is developed by Google AI and has been used to achieve state-of-the-art results in a variety of machine learning tasks, including generative AI.

Python 524

Python Machine Learning Machine Learning AI 524

PyImageSearch

DECEMBER 9, 2024

The next step for researchers was to use deep learning approaches such as NeRFs and 3D Gaussian Splatting, which have shown promising results in novel view synthesis, computer graphics, high-resolution image generation, and real-time rendering. In short, it’s a basic reconstruction. Or requires a degree in computer science?

Deep Learning 116

Deep Learning Deep Learning Algorithm Computer Science 116

Flipboard

MAY 19, 2025

At AWS, open standards run deep in our DNA, driving all that we do. Thats why we decided to build Amazon Elastic Cloud Compute (EC2) as a protocol-agnostic cloud computing service and Amazon SageMaker as a framework-agnostic deep learning service.

Cloud Computing 174

Cloud Computing Deep Learning Deep Learning AWS 174

Towards AI

DECEMBER 21, 2024

Tasks like splitting timestamps for session analysis or encoding categorical variables had to be scripted manually.Model Building: I would use Scikit-learn or XGBoost for collaborative filtering and content-based methods. For deep learning, I used TensorFlow 1.x,

Deep Learning 122

Deep Learning Deep Learning SQL AI 122

Dataconomy

MAY 8, 2025

Long short-term memory (LSTM) networks have revolutionized the field of deep learning by providing advanced solutions to processing sequence data. Applications of LSTM networks LSTM networks boast a variety of applications across multiple domains in deep learning, showcasing their adaptability and effectiveness.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning 103

Dataconomy

MARCH 21, 2025

Approaches to NLP NLP can be broadly categorized into rule-based systems and machine learning systems. Rule-based systems utilize predefined linguistic rules to analyze text, while machine learning systems rely on data-driven approaches to train models. NLP Architect by Intel: A deep learning toolkit for NLP and text processing.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning Machine Learning 103

Dataconomy

APRIL 28, 2025

The Segment Anything Model (SAM) represents a significant advancement in the field of image segmentation, leveraging deep learning to redefine how multiple objects can be identified and delineated in images. Key features of SAM SAM is built on powerful deep learning frameworks, enabling it to achieve exceptional performance.

Deep Learning 91

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 91

PyImageSearch

JANUARY 13, 2025

Figure 13: Multi-Object Tracking for Pose Estimation (source: output video generated by running the above code) How to Train with YOLO11 Training a deep learning model is a crucial step in building a solution for tasks like object detection. Or has to involve complex mathematics and equations? Or requires a degree in computer science?

Python 109

Python Deep Learning Deep Learning Computer Science 109

Flipboard

MARCH 17, 2025

Course information: 86+ total classes 115+ hours hours of on-demand code walkthrough videos Last updated: March 2025 4.84 (128 Ratings) 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or has to involve complex mathematics and equations?

Python 153

Python Deep Learning Deep Learning Machine Learning 153

Dataconomy

FEBRUARY 21, 2025

Using deep learning and transformer-based models, SparkAI processes extensive audio datasets to analyze tonal characteristics and generate realistic guitar sounds. The system applies self-supervised learning techniques, allowing it to adapt to different playing styles without requiring manually labeled training data.

Supervised Learning 113

Supervised Learning Natural Language Processing Deep Learning Deep Learning 113

PyImageSearch

DECEMBER 23, 2024

Course information: 86 total classes 115+ hours of on-demand code walkthrough videos Last updated: October 2024 4.84 (128 Ratings) 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or has to involve complex mathematics and equations? Download the code!

K-nearest Neighbors 118

K-nearest Neighbors Algorithm Deep Learning Deep Learning 118

Dataconomy

MARCH 17, 2025

Dropout in deep learning In deep learning, dropout is a regularization technique where random neurons are excluded during training. This process encourages the model to learn robust features that are not reliant on any single neuron, thereby improving generalization.

Machine Learning 103

Machine Learning Machine Learning Cross Validation Deep Learning 103

PyImageSearch

DECEMBER 16, 2024

Course information: 86 total classes 115+ hours of on-demand code walkthrough videos Last updated: October 2024 4.84 (128 Ratings) 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or has to involve complex mathematics and equations? Download the code!

Deep Learning 104

Deep Learning Deep Learning Computer Science Computer Science 104

Machine Learning (Theory)

MARCH 5, 2025

As an example, the speech recognition community spent decades focusing on Hidden Markov Models at the expense of other architectures, before eventually being disrupted by advancements in deep learning. Support Vector Machines were disrupted by deep learning, and convolutional neural networks were displaced by transformers.

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AI AI Support Vector Machines Deep Learning 157