Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. This member-only story is on us.

Deep Learning 96

Deep Learning Computer Vision Explainability NLP 96

Marktechpost

MARCH 10, 2025

A researcher from New York University presents soft inductive biases as a key unifying principle in explaining these phenomena: rather than restricting hypothesis space, this approach embraces flexibility while maintaining a preference for simpler solutions consistent with data. However, deep learning remains distinctive in specific aspects.

Deep Learning 49

Deep Learning Convolutional Neural Networks Neural Network Explainability 49

Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. I’ve passed many ML courses before, so that I can compare. So you definitely can trust his expertise in Machine Learning and Deep Learning.

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Deep Learning Neural Network ML Computer Vision 125

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions.

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Explainable AI Explainability Neural Network Data Scientist 119

Marktechpost

MARCH 26, 2024

Deep learning models have recently gained significant popularity in the Artificial Intelligence community. In order to address these challenges, a team of researchers has introduced DomainLab, a modular Python package for domain generalization in deep learning. If you like our work, you will love our newsletter.

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Deep Learning Python Neural Network Artificial Intelligence 129

Marktechpost

JUNE 16, 2024

Topological Deep Learning (TDL) advances beyond traditional GNNs by modeling complex multi-way relationships, unlike GNNs that only capture pairwise interactions. Topological Neural Networks (TNNs), a subset of TDL, excel in handling higher-order relational data and have shown superior performance in various machine-learning tasks.

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Deep Learning Neural Network Machine Learning Explainability 131

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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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Unite.AI

MARCH 20, 2025

He has a PhD in computer science and more than 25 years of experience in algorithm development, AI, and machine learning (ML). In the first days of Ibex, Chaim was busy winning Kaggle (ML) competitions. Can you explain how the heatmap feature assists pathologists in identifying cancerous tissue?

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Convolutional Neural Networks Algorithm Explainability Neural Network 146

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?

Machine Learning 203

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ODSC - Open Data Science

MARCH 12, 2025

As a machine learning (ML) practitioner, youve probably encountered the inevitable request: Can we do something with AI? Stephanie Kirmer, Senior Machine Learning Engineer at DataGrail, addresses this challenge in her talk, Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners.

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Marktechpost

OCTOBER 8, 2023

The researchers emphasize that this approach of explainability examines an AI’s full prediction process from input to output. Dr. Sebastian Lapuschkin, head of the research group Explainable Artificial Intelligence at Fraunhofer HHI, explains the new technique in more detail. We are also on WhatsApp.

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Deep Learning Neural Network Explainability Artificial Intelligence 140

AWS Machine Learning Blog

FEBRUARY 12, 2024

Sharing in-house resources with other internal teams, the Ranking team machine learning (ML) scientists often encountered long wait times to access resources for model training and experimentation – challenging their ability to rapidly experiment and innovate. If it shows online improvement, it can be deployed to all the users.

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ML Explainability Machine Learning Deep Learning 134

Marktechpost

FEBRUARY 24, 2024

State-of-the-art approaches for CMRI segmentation have predominantly concentrated on SAX segmentation using deep learning methods like UNet. Join our 37k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Also, don’t forget to follow us on Twitter and Google News.

Deep Learning 109

Deep Learning Explainability Automation AI 109

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. Notably, the distinguishing feature of this approach is its transparency; the program can explain its decisions rather than operating as an opaque black box.

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Deep Learning Explainability AI Researcher AI Research 111

Marktechpost

MARCH 31, 2024

Solving partial differential equations (PDEs) is complex, just like the events they explain. Deep learning, using designs like U-Nets, is popular for working with information at multiple levels of detail. Earlier methods of solving these equations struggled with the challenge of changes happening over time.

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Deep Learning Explainability ML Artificial Intelligence 136

How to Learn Machine Learning

APRIL 8, 2025

TLDR: In this article we will explore machine learning definitions from leading experts and books, so sit back, relax, and enjoy seeing how the field’s brightest minds explain this revolutionary technology! ” Mitchell’s definition is particularly loved by ML students for its precision.

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Machine Learning Deep Learning Artificial Intelligence Artificial Intelligence 76

Marktechpost

JANUARY 28, 2024

A researcher from the University of Zurich has turned to deep learning as a potent tool. Deep learning models, such as multilayer perceptrons, recurrent neural networks, and transformers, have been employed to forecast the fitness of genotypes based on experimental data. Also, don’t forget to follow us on Twitter.

Explainability 121

Explainability Deep Learning Neural Network Machine Learning 121

Flipboard

FEBRUARY 10, 2025

Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Using the Ollama API (this tutorial) To learn how to build a multimodal chatbot with Gradio, Llama 3.2, and the Ollama API, just keep reading. Thats not the case.

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Chatbots Computer Vision Deep Learning Large Language Models 146

Pickl AI

APRIL 9, 2025

Summary: Artificial Intelligence (AI) and Deep Learning (DL) are often confused. AI vs Deep Learning is a common topic of discussion, as AI encompasses broader intelligent systems, while DL is a subset focused on neural networks. Is Deep Learning just another name for AI? Is all AI Deep Learning?

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Deep Learning Artificial Intelligence Artificial Intelligence Explainability 52

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. SHAP demystifies this by quantifying the contribution of each feature, offering a clearer map of the model’s decision-making pathways.

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LLM Machine Learning Explainability Algorithm 263

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. As soon as the system adapts to human wants, it automates the learning process accordingly.

Computer Vision 105

Computer Vision Deep Learning Neural Network Artificial Intelligence 105

Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

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Deep Learning AI Researcher AI Research Neural Network 98

Marktechpost

JULY 22, 2024

With deep learning models like BERT and RoBERTa, the field has seen a paradigm shift. This lack of explainability is a gap in academic interest and a practical concern. Existing methods for AV have advanced significantly with the use of deep learning models.

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Explainability BERT Large Language Models Deep Learning 105

Google Research AI blog

MARCH 14, 2023

Developing machine learning (ML) tools in pathology to assist with the microscopic review represents a compelling research area with many potential applications. While these efforts focus on using ML to detect or quantify known features, alternative approaches offer the potential to identify novel features.

Deep Learning 95

Deep Learning ML Machine Learning Explainability 95

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Explainability is essential for accountability, fairness, and user confidence. Transparency is fundamental for responsible AI usage.

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Composite AI Explainability Neural Network Explainable AI 179

Marktechpost

AUGUST 15, 2023

Data may be viewed as having a structure in various areas that explains how its components fit together to form a greater whole. Most current deep-learning models make no explicit attempt to represent the intermediate structure and instead seek to predict output variables straight from the input.

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Deep Learning Algorithm Explainability Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

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ML Generative AI Machine Learning Prompt Engineer 137

AWS Machine Learning Blog

APRIL 7, 2025

n - Use clear and simple language, avoiding jargon unless it's necessary and explained." "nn4. n - Provide any partial information that is available, and explain what additional information would be needed to give a complete answer." "n Explains different logging configuration practices for AWS Network Firewall [1]n2.

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Generative AI Explainability IDP LLM 132

Marktechpost

DECEMBER 14, 2024

Despite significant progress with deep learning models like AlphaFold and ProteinMPNN, there is a gap in accessible educational resources that integrate foundational machine learning concepts with advanced protein engineering methods. It explains how CNNs utilize convolutional layers to extract spatial features from input data.

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Deep Learning Machine Learning Neural Network Explainability 81

AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? As it relates to businesses, AI has become a positive game changer for recruiting, retention, learning and development programs.

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

Marktechpost

DECEMBER 15, 2023

They explained that the higher resolution of precipitation events simulated with this method will allow for a better estimation of the impacts the weather conditions that caused the flooding of the river Ahr in 2021 would have had in a world warmer by 2 degrees. If you like our work, you will love our newsletter.

Deep Learning 105

Deep Learning Convolutional Neural Networks Neural Network Artificial Intelligence 105

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture.

ML 123

ML Deep Learning Algorithm Categorization 123

Marktechpost

NOVEMBER 20, 2024

The Semantic Re-encoding Deep Learning Model (SRDLM) can also be used to improve traffic distinguishability and algorithmic generalization, as presented by the prior researchers. This research demonstrates the powerful potential of deep learning in enhancing intrusion detection systems against DDoS attacks.

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Deep Learning Convolutional Neural Networks Neural Network Algorithm 85

AWS Machine Learning Blog

DECEMBER 2, 2024

These improvements are available across a wide range of SageMaker’s Deep Learning Containers (DLCs), including Large Model Inference (LMI, powered by vLLM and multiple other frameworks), Hugging Face Text Generation Inference (TGI), PyTorch (Powered by TorchServe), and NVIDIA Triton.

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Generative AI Machine Learning Large Language Models ML Engineer 104

Flipboard

JANUARY 16, 2025

& µg∕mL, 25.78& & µg∕mL, and ˃ 100& µg∕mL against non-small Lung cancer (A-549), Human Melanoma (A-375), and Human epidermoid Skin carcinoma (skin/epidermis) (A-431) respectively. & µg/ml respectively). & µg/ml respectively).

Deep Learning 78

Deep Learning Artificial Intelligence Artificial Intelligence Explainability 78

Unite.AI

APRIL 8, 2025

In February of this year, the JPEG AI international standard was published, after several years of research aimed at using machine learning techniques to produce a smaller and more easily transmissible and storable image codec, without a loss in perceptual quality. By contrast, real images lack these patterns.

AI 159

AI AI Neural Network Machine Learning 159

Marktechpost

MARCH 28, 2024

Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 142