Flipboard

JUNE 15, 2025

Inverse protein folding generates valid amino acid sequences that can fold into a desired protein structure, with recent deep learning advances showing strong potential and competitive performance. However, challenges remain, such as predicting elements with high structural uncertainty, including disordered regions.

Deep Learning 144

Deep Learning Deep Learning Machine Learning Machine Learning 144

Flipboard

JUNE 27, 2025

How Kumo is generalizing transformers for databases Kumo’s approach, “relational deep learning,” sidesteps this manual process with two key insights. Relational deep learning (source: Kumo AI) Second, Kumo generalized the transformer architecture , the engine behind LLMs, to learn directly from this graph representation.

Database 164

Database Deep Learning Deep Learning ML 164

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 295

Natural Language Processing Deep Learning Deep Learning 295

Flipboard

MAY 22, 2025

Some researchers say that deep-learning ‘foundation’ models will revolutionize the field — but others are not so sure. Some researchers say that deep-learning ‘foundation’ models will revolutionize the field — but others are not so sure.

Artificial Intelligence 170

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 170

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.

Big Data 298

Big Data Big Data AI AI 298

Flipboard

MAY 12, 2025

Thats according to researchers from Mass General Brigham, who developed a deep-learning algorithm called FaceAge. A simple selfie could hold hidden clues to ones biological age and even how long theyll live. Using a photo of someones face, the artificial intelligence tool generates predictions

Deep Learning 181

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 181

KDnuggets

JUNE 11, 2025

Avi has been working in the field of data science and machine learning for over 6 years, both across academia and industry.

Natural Language Processing 302

Natural Language Processing Data Science Machine Learning Machine Learning 302

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 112

Data Pipeline Deep Learning Deep Learning Database 112

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

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

Flipboard

JUNE 5, 2025

While current deep learning models excel at specific tasks such as skin cancer diagnosis from dermoscopic images, they struggle to meet the complex, multimodal requirements of clinical practice.

Supervised Learning 129

Supervised Learning Deep Learning Deep Learning Artificial Intelligence 129

Flipboard

JUNE 28, 2025

This led us to refer to research highlighting how image resolution impacts deep learning models. First fix: Mixing image resolutions One thing we noticed was how much image quality affected the model’s output. Users uploaded all kinds of images ranging from sharp and high-resolution to blurry.

Deep Learning 158

Deep Learning Deep Learning ML ML 158

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

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

Flipboard

JULY 1, 2025

It also includes free machine learning books, courses, blogs, newsletters, and links to local meetups and communities. Awesome Machine Learning Tutorials: Practical Guides and Articles Link: ujjwalkarn/Machine-Learning-Tutorials A collection of machine learning and deep learning tutorials, articles, and resources.

Data Science 144

Data Science Machine Learning Machine Learning Natural Language Processing 144

Dataconomy

JULY 3, 2025

Key techniques in text mining Text mining has significantly advanced with the introduction of deep learning. This development allows for more nuanced and sophisticated analyses as neural networks iteratively learn from vast datasets. Factors like syntax, semantics, slang, and jargon complicate the analysis.

Data Preparation 91

Data Preparation Deep Learning Deep Learning Natural Language Processing 91

KDnuggets

JUNE 24, 2025

Currently, shes working on learning and sharing her knowledge with the developer community by authoring tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource overviews and coding tutorials.

Python 255

Python Natural Language Processing Data Science Machine Learning 255

Flipboard

JULY 3, 2025

This post is divided into three parts; they are: • Why Skip Connections are Needed in Transformers • Implementation of Skip Connections in Transformer Models • Pre-norm vs Post-norm Transformer Architectures Transformer models, like other deep learning models, stack many layers on top of each other.

Deep Learning 65

Deep Learning Deep Learning 65

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

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

Dataconomy

JUNE 30, 2025

These methods may leverage machine learning, deep learning, large language models, network science, and other related computational techniques for diverse cybersecurity applications. TAISAP also aims to publish high-quality scholarly articles that contribute to the development of AI-enabled analytical methods.

AI 125

AI AI Machine Learning Machine Learning 125

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 146

Python Deep Learning Deep Learning Machine Learning 146

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 119

K-nearest Neighbors Algorithm Deep Learning Deep Learning 119

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