Towards AI

AUGUST 5, 2024

comparison method, cost approach or expert evaluation), machine learning and deep learning models offer new alternatives. In this article, I will give you a simple 10-minute introduction to the most important deep learning models that are frequently used in recent research (see reference) to predict the prices of used cars.

Deep Learning 105

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AI Weekly

APRIL 11, 2024

Read the blog] global.ntt In The News When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria mit.edu Microsoft AI opens London hub to access ‘enormous pool’ of talent Microsoft is doubling down on its AI efforts in the UK with the opening of a major new AI hub in London. No legacy process is safe.

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Robotics Artificial Intelligence Artificial Intelligence Data Drift 217

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.

Deep Learning 98

Deep Learning AI Research AI Researcher Neural Network 98

IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. An LLM like Falcon-40B, offered under an Apache 2.0

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IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. in 2022 and it is expected to be hit around USD 118.06

Generative AI 203

Generative AI Explainability Explainable AI Natural Language Processing 203

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. This series is about CV and DL for Industrial and Big Business Applications.

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Computer Vision Deep Learning Neural Network Artificial Intelligence 92

Towards AI

MAY 13, 2024

So, in this blog post, let’s take a look at what exactly an AI supercomputer is and how it trains large AI models such as GPT3, GPT4, and even the latest GPT-4o, that power ChatGPT and BingChat. Supercomputers are the most powerful and… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

AI Modeling 109

AI Modeling Explainability Deep Learning AI 109

Towards AI

SEPTEMBER 7, 2023

An analogy to explain how deep learning works… This member-only story is on us. Originally published on louisbouchard.ai, read it 2 days before on my blog! link] When we talk about artificial intelligence, or AI, we tend to mean deep learning. Upgrade to access all of Medium.

Deep Learning 128

Deep Learning Computer Scientist Artificial Intelligence Artificial Intelligence 128

Google Research AI blog

MARCH 14, 2023

We describe this feature and evaluate its use by pathologists in our recently published paper, “ Pathologist validation of a machine-learned feature for colon cancer risk stratification ”. Putting things in context: learning from deep learning as a paradigm Our work is an example of people “learning from deep learning”.

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Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. Forget deep learning for now.

Machine Learning 105

Machine Learning Neural Network Deep Learning Explainability 105

Pickl AI

DECEMBER 5, 2024

Summary: This article delves into the role of optimizers in deep learning, explaining different types such as SGD, Adam, and RMSprop. Understanding these optimizers is crucial for improving model performance and achieving efficient learning outcomes in AI tasks. What is an Optimizer?

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IBM Journey to AI blog

MARCH 27, 2024

As previously explained, spend data is more readily available in an organization and is a common proxy of quantity of goods/services. Here’s where deep learning-based foundation models for NLP can be efficient across a broad range of NLP classification tasks when availability of labelled data is insufficient or limited.

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ESG Categorization Large Language Models NLP 238

IBM Journey to AI blog

JANUARY 10, 2024

The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. Computing power: AI algorithms often necessitate significant computing resources to process such large quantities of data and run complex algorithms, especially in the case of deep learning.

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Pickl AI

AUGUST 23, 2024

Summary: This blog post delves into the importance of explainability and interpretability in AI, covering definitions, challenges, techniques, tools, applications, best practices, and future trends. It highlights the significance of transparency and accountability in AI systems across various sectors.

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Explainability Deep Learning Machine Learning Neural Network 52

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this post, we illustrate the use of Clarify for explaining NLP models.

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Flipboard

SEPTEMBER 12, 2023

A deep-learning computer model analyzes the images to identify features such as offshore platforms, solar farms and the amount of tree cover in a given area. “We use deep learning models to generate a high-resolution image from many low-resolution images of the same location captured at different times,” Bastani explained.

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Artificial Intelligence Artificial Intelligence Deep Learning Data Analysis 153

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.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. Forget deep learning for now.

Machine Learning 93

Machine Learning Neural Network Deep Learning Explainability 93

Pickl AI

SEPTEMBER 23, 2024

Summary: This guide covers the most important Deep Learning interview questions, including foundational concepts, advanced techniques, and scenario-based inquiries. Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

AssemblyAI

JUNE 27, 2023

In this article, we take an overview of some exciting new advances in the space of Generative AI for audio that have all happened in the past few months , explaining where the key ideas come from and how they come together to bring audio generation to a new level. This blog post is part of a series on generative AI.

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PyImageSearch

DECEMBER 9, 2024

In this tutorial, you will learn about 3D Gaussian Splatting. This lesson is the last of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion NeRFs Explained: Goodbye Photogrammetry? this tutorial) To learn more about 3D Gaussian Splatting, just keep reading.

Computer Vision 95

Computer Vision Deep Learning Explainability Algorithm 95

IBM Journey to AI blog

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. Scale AI workloads, for all your data, anywhere with watsonx.data Enable responsible, transparent and explainable data and AI workflow with watsonx.governance You can learn more about what watsonx has to offer and how watsonx.ai

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Automation Neural Network AI AI 258

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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Deep Learning Neural Network Machine Learning Algorithm 52

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

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Deep Learning Neural Network Machine Learning Python 59

Pickl AI

NOVEMBER 28, 2024

Summary: Gradient descent is a fundamental optimisation technique in Deep Learning crucial for minimising loss functions and enhancing model accuracy. Introduction In Machine Learning , optimisation is critical in improving model accuracy by adjusting parameters to minimise errors. billion by 2033, growing at a CAGR of 32.57%.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Algorithm 52

Pickl AI

NOVEMBER 28, 2024

Summary: Generative Adversarial Network (GANs) in Deep Learning generate realistic synthetic data through a competitive framework between two networks: the Generator and the Discriminator. In answering the question, “What is a Generative Adversarial Network (GAN) in Deep Learning?”

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Deep Learning Neural Network Machine Learning Artificial Intelligence 52

Towards AI

JULY 21, 2023

People everywhere are working on some form of deep-learning-based computer vision projects. But before the advent of Deep Learning, image processing techniques were employed to manipulate and transform images in order to obtain insights that would help us achieve the task at hand. What does warping an image mean?

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Computer Vision Python Deep Learning Explainability 98

IBM Journey to AI blog

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. IBM believes that there are five pillars to trustworthy AI : explainability, fairness, robustness, transparency and privacy.

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Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

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Explainable AI Explainability Deep Learning Neural Network 52

Viso.ai

MARCH 26, 2024

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Furthermore, attention mechanisms work to enhance the explainability or interpretability of AI models. Vaswani et al. without conventional neural networks.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. For example, a deep neural net used for a loan application scorecard might deny a customer, and we will not be able to explain why. So, without further ado, let’s dive in!

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Neural Network AI Modeling Black Box AI Explainability 122

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Explore watsonx to leverage AI and transform businesses The post How to choose the best AI platform appeared first on IBM Blog.

Machine Learning 225

Machine Learning Automation AI AI 225

Towards AI

JANUARY 11, 2024

The AI Tutor can help with your questions as you learn about topics such as building LLM apps (including training and fine-tuning LLMs), working with Langchain, LlamaIndex, agents, and the Deep Lake vector database, and lots of insights on advanced RAG techniques! Learn AI Together Community section!

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Computer Vision AI AI Python 116

Marktechpost

OCTOBER 28, 2024

OpenVINO is an open-source library for optimizing and deploying deep learning model inferencing capabilities, including large and small language models. Similarly, ONNX provides an open-source format for AI models, both deep learning and traditional ML, with a current focus on the capabilities needed for inferencing.

Deep Learning 136

Deep Learning Generative AI Explainability Chatbots 136

IBM Journey to AI blog

JULY 6, 2023

Python is the most common programming language used in machine learning. Machine learning and deep learning are both subsets of AI. Deep learning teaches computers to process data the way the human brain does. Deep learning algorithms are neural networks modeled after the human brain.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

AWS Machine Learning Blog

FEBRUARY 12, 2024

Essential ML capabilities such as hyperparameter tuning and model explainability were lacking on premises. In both cases, the evaluation and explainability report, if generated, are recorded in the model registry. Explain – SageMaker Clarify generates an explainability report. AWS_ACCOUNT] region = eu-central-1.

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