IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Layered Architectures : Deep Learning uses CNNs, RNNs, and more.

Neural Network 52

Neural Network Deep Learning Natural Language Processing Convolutional Neural Networks 52

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Gives a summary of different stages of this skill developing in humans, along with a review of this work in the deep learning field. University of Wisconsin-Madison.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks.

Deep Learning 189

Deep Learning AI AI Neural Network 189

Unite.AI

JANUARY 18, 2025

A Neural Processing Unit (NPU) is a specialized microprocessor built from the ground up to handle the unique requirements of modern AI and machine learning workloads. This parallelism is critical for deep learning tasks, where training and inference involve large batches of data.

Generative AI 144

Generative AI Neural Network Robotics Natural Language Processing 144

Marktechpost

JUNE 18, 2024

Machine learning has seen significant advancements in integrating Bayesian approaches and active learning methods. Image Source Bayesian neural networks aim to quantify uncertainty by learning a posterior distribution over model parameters.

Neural Network 130

Neural Network Large Language Models Machine Learning LLM 130

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). These are essential for understanding machine learning algorithms.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Marktechpost

SEPTEMBER 17, 2024

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. One of the central challenges in this field is the extended time needed to train complex neural networks.

Neural Network 111

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 111

Marktechpost

AUGUST 3, 2024

Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various tasks. However, these neural networks face challenges in interpretation and scalability.

Computer Vision 120

Computer Vision Machine Learning NLP Neural Network 120

Analytics Vidhya

JUNE 5, 2023

These gargantuan neural networks have revolutionized how machines learn and generate human language, propelling the boundaries of what was once thought possible.

Large Language Models 290

Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 290

Analytics Vidhya

APRIL 24, 2023

Introduction We live in a world where social media platforms shape our interests, tailor our news feeds, and provide customized content, all thanks to machine learning! With machine learning (ML), a branch of artificial intelligence (AI), software programs can predict outcomes more accurately without being explicitly instructed.

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Machine Learning Artificial Intelligence Artificial Intelligence Algorithm 208

AI News

JULY 22, 2024

By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes.

Machine Learning 316

Machine Learning Algorithm Neural Network Natural Language Processing 316

Towards AI

DECEMBER 21, 2024

This surprising connection between PCA and neural networks highlights how dimensionality reduction and representation learning are two sides of the same coin. This idea got me thinking: what if PCA concepts could make attention mechanisms in neural networks even better?

Neural Network 111

Neural Network Machine Learning NLP AI 111

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. The AIs intent recognition models detect modifications and update the order accordingly, reducing the need for manual corrections.

Automation 154

Automation AI AI Neural Network 154

Marktechpost

APRIL 26, 2024

Graphs are important in representing complex relationships in various domains like social networks, knowledge graphs, and molecular discovery. Foundation Models (FMs) have revolutionized NLP and vision domains in the broader AI spectrum. Alongside topological structure, nodes often possess textual features providing context.

Large Language Models 135

Large Language Models Machine Learning Neural Network Deep Learning 135

IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

ODSC - Open Data Science

FEBRUARY 10, 2025

A/V analysis and detection are some of machine learnings most practical applications. Many tools apply these capabilities to text-based data or network traffic, but audio and video use cases are also worthnoting. Choose an Appropriate Algorithm As with all machine learning processes, algorithm selection is also crucial.

Machine Learning 52

Machine Learning Convolutional Neural Networks Neural Network Natural Language Processing 52

Towards AI

DECEMBER 12, 2024

We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project. DINN extends DWLR by adding feature interaction terms, creating a neural network architecture.

Neural Network 105

Neural Network LLM Explainability NLP 105

Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

Deep Learning 120

Deep Learning Machine Learning Python Computer Vision 120

Towards AI

DECEMBER 12, 2024

We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project. DINN extends DWLR by adding feature interaction terms, creating a neural network architecture.

Neural Network 104

Neural Network LLM Explainability NLP 104

Towards AI

DECEMBER 12, 2024

We are diving into Mechanistic interpretability, an emerging area of research in AI focused on understanding the inner workings of neural networks. Jjj8405 is seeking an NLP/LLM expert to join the team for a project. DINN extends DWLR by adding feature interaction terms, creating a neural network architecture.

Neural Network 103

Neural Network LLM Explainability NLP 103

Marktechpost

NOVEMBER 27, 2024

In today’s world, you’ve probably heard the term “Machine Learning” more than once. Machine Learning, a subset of Artificial Intelligence, has emerged as a transformative force, empowering machines to learn from data and make intelligent decisions without explicit programming. housing prices, stock prices).

Machine Learning 111

Machine Learning Algorithm Neural Network Convolutional Neural Networks 111

IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 131

Machine Learning ML Algorithm Chatbots 131

Towards AI

FEBRUARY 3, 2025

DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). DeepSeek AI can learn and improve over time, as opposed to being governed by static, pre-defined principles. What is DeepSeek AI?

Natural Language Processing 125

Natural Language Processing OpenAI Neural Network Artificial Intelligence 125

Marktechpost

DECEMBER 13, 2024

Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict complex patterns. This understanding is essential for designing more efficient training algorithms and enhancing the interpretability and robustness of neural networks.

Neural Network 77

Neural Network Machine Learning Computer Vision AI 77

Towards AI

JULY 20, 2023

The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 Oh and by the way, Maybe… the universe is just a giant neural network… ?‍♂️ ‍♂️ The Universe Might Be One Big Neural Network, Study Finds One scientist says the universe is a giant neural net.

NLP 98

NLP Neural Network Natural Language Processing Machine Learning 98

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

NLP 111

NLP Data Science Deep Learning BERT 111

Marktechpost

DECEMBER 24, 2023

The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. Check out the Paper.

Machine Learning 122

Machine Learning Neural Network Natural Language Processing Computer Vision 122

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. How do Graph Neural Networks work?

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

Marktechpost

DECEMBER 1, 2023

Computer vision, NLP, and other domains have seen remarkable success with deep machine learning (ML) approaches based on deep neural networks (NNs). The post Researchers Study Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning appeared first on MarkTechPost.

Machine Learning 119

Machine Learning Neural Network Computer Vision ML 119

Marktechpost

OCTOBER 18, 2023

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. Like other deep learning techniques, they need a lot of training data to provide excellent modeling accuracy. If you like our work, you will love our newsletter. We are also on WhatsApp.

Machine Learning 124

Machine Learning Deep Learning Neural Network Natural Language Processing 124

AssemblyAI

MAY 3, 2023

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. Artificial neural networks consist of interconnected layers of nodes, or “neurons” which work together to process and learn from data.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

AI Weekly

AUGUST 10, 2023

a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals. 1.41%) (BRK.B 1.57%) CEO Warren Buffett, just take a closer look at his track record since taking the reins in 1965.

Neural Network 246

Neural Network Natural Language Processing Deep Learning Robotics 246

Towards AI

JUNE 7, 2024

The idea is to give a quick high-level view of how recursive neural networks are trained for datasets that have a continuous internal structure, such as text. In standard neural networks, each layer only depends on the layer immediately above it, which means that a network forms a linear structure which “forgets” the previous data.

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Neural Network Machine Learning NLP AI 89