Analytics Vidhya

MARCH 10, 2022

Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.

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Neural Network Machine Learning Data Science Algorithm 306

Unite.AI

MARCH 20, 2025

IntuiCell , a spin-out from Lund University, revealed on March 19, 2025, that they have successfully engineered AI that learns and adapts like biological organisms, potentially rendering current AI paradigms obsolete in many applications. The system's architecture represents a significant departure from standard neural networks.

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Robotics Machine Learning Neural Network Algorithm 261

Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

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Neural Network Deep Learning Data Analysis Algorithm 316

AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023?

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Analytics Vidhya

MAY 27, 2023

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text.

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Neural Network Algorithm Machine Learning 327

Unite.AI

MARCH 9, 2025

What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. Companies like Tesla , Nvidia , Google DeepMind , and OpenAI lead this transformation with powerful GPUs, custom AI chips, and large-scale neural networks.

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Neural Network Deep Learning Algorithm AI 320

Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. is its intuitive approach to neural network training and implementation. environments. TensorFlow.js TensorFlow.js

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Neural Network Machine Learning NLP Natural Language Processing 162

ML @ CMU

JANUARY 2, 2025

We use a model-free actor-critic approach to learning, with the actor and critic implemented using distinct neural networks. In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al.,

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Neural Network Explainability Algorithm Deep Learning 134

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.

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Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Analytics Vidhya

JANUARY 30, 2022

The post Activation Functions for Neural Networks and their Implementation in Python appeared first on Analytics Vidhya.

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Neural Network Python Data Science Algorithm 270

Analytics Vidhya

DECEMBER 12, 2022

Introduction In machine learning and deep learning, the amount of data fed to the algorithm is one of the most critical factors affecting the model’s performance. However, in every machine learning or deep learning problem, it is impossible to have enough data to […].

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Machine Learning Deep Learning Data Science Algorithm 342

Unite.AI

DECEMBER 7, 2024

At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionable intelligence for brand protection and marketing optimization.

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AI Tools Automation NLP Algorithm 278

Unite.AI

NOVEMBER 19, 2024

In the 1960s, researchers developed adaptive techniques like genetic algorithms. These algorithms replicated natural evolutionary process, enabling solutions to improve over time. Today, machine learning and neural networks build on these early ideas. However, AutoML systems are changing this.

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Automation AI AI Neural Network 278

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

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Machine Learning Chatbots Business Intelligence Automation 291

Towards AI

FEBRUARY 11, 2025

Source: Scaler In our ongoing journey to decode the inner workings of neural networks, weve explored the fundamental building blocks the perceptron, MLPs, and weve seen how these models harness the power of activation functions to tackle non-linear problems. The answer lies in loss functions.

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Neural Network Algorithm AI AI 89

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? What are its Limitations?

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Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

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? temperature, salary).

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Machine Learning Neural Network Algorithm Computer Vision 230

Towards AI

FEBRUARY 12, 2025

Backpropagation is the ingenious algorithm that allows neural networks to truly learn from their mistakes. Its the mechanism by which they analyze their errors and adjust their internal parameters (weights and biases) to improve their future performance.

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Neural Network Algorithm AI AI 86

Unite.AI

FEBRUARY 12, 2025

The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI. AGI, still under development, seeks to create machines that can think, learn, and comprehend a variety of functions like human abilities.

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Neural Network Large Language Models Deep Learning Artificial Intelligence 259

Analytics Vidhya

SEPTEMBER 29, 2023

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions.

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Neural Network Deep Learning Algorithm Machine Learning 336

Unite.AI

MAY 8, 2024

The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks.

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Neural Network Large Language Models LLM BERT 182

Flipboard

NOVEMBER 11, 2024

This article explains, through clear guidelines, how to choose the right machine learning (ML) algorithm or model for different types of real-world and business problems.

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Neural Network Algorithm Machine Learning Explainability 177

Analytics Vidhya

APRIL 9, 2023

Geoffrey Hinton: Godfather of AI Geoffrey Hinton, often considered the “godfather of artificial intelligence,” has been pioneering machine learning since before it became a buzzword. Hinton has made significant contributions to the development of artificial neural networks and machine learning algorithms.

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Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 291

Analytics Vidhya

JULY 25, 2022

It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […]. The post YOLO: An Ultimate Solution to Object Detection and Classification appeared first on Analytics Vidhya.

Neural Network 306

Neural Network Computer Vision Deep Learning Artificial Intelligence 306

Analytics Vidhya

JANUARY 31, 2022

Source-Datafloc Introduction Artificial Neural Networks (ANN) have paved a new path to the emerging AI industry since decades it has been introduced. With no doubt in its massive performance and architectures proposed over the decades, traditional machine-learning algorithms are on the verge of extinction […].

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Neural Network Machine Learning Data Science Algorithm 271

Towards AI

MARCH 5, 2025

Neural Networks Competition Over the Years This member-only story is on us. The evolution of artificial neural networks (ANNs) resembles less a steady march forward and more a complex ecosystem of competing species each architecture rising, dominating, and sometimes fading as computational landscapes shift.

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Neural Network Artificial Intelligence Artificial Intelligence Machine Learning 54

Unite.AI

JUNE 15, 2024

Graduate student Diego Aldarondo collaborated with DeepMind researchers to train an artificial neural network (ANN) , which serves as the virtual brain, using the powerful machine learning technique deep reinforcement learning.

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Neural Network Robotics Algorithm Machine Learning 328

Pickl AI

JANUARY 21, 2025

Summary: Machine Learning algorithms enable systems to learn from data and improve over time. These algorithms are integral to applications like recommendations and spam detection, shaping our interactions with technology daily. These intelligent predictions are powered by various Machine Learning algorithms.

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Machine Learning Algorithm Neural Network ML 52

Towards AI

JANUARY 21, 2025

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In How does the algorithm conclude which token to output next? this article, I want to summarize my understanding of Large Language Models.

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Algorithm ChatGPT Large Language Models Neural Network 105

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

Marktechpost

NOVEMBER 16, 2024

Over two weeks, you’ll learn to extract features from images, apply deep learning techniques for tasks like classification, and work on a real-world project to detect facial key points using a convolutional neural network (CNN). Key topics include CNNs, RNNs, SLAM, and object tracking.

Computer Vision 102

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 102

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Machine Learning Algorithm Neural Network Artificial Intelligence 207

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.

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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).

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Machine Learning Algorithm Neural Network Convolutional Neural Networks 111

Unite.AI

DECEMBER 26, 2024

AI algorithms can be trained on a dataset of countless scenarios, adding an advanced level of accuracy in differentiating between the activities of daily living and the trajectory of falls that necessitate concern or emergency intervention. Where does this data come from?

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Convolutional Neural Networks Algorithm Neural Network Computer Vision 147

Marktechpost

MARCH 23, 2024

Don’t Forget to join our 39k+ ML SubReddit The post FeatUp: A Machine Learning Algorithm that Upgrades the Resolution of Deep Neural Networks for Improved Performance in Computer Vision Tasks appeared first on MarkTechPost. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Computer Vision Neural Network Machine Learning Algorithm 130

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. This article delves into how AI algorithms are transforming sports betting, providing actual data, statistics, and insights that demonstrate their impact.

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Machine Learning Algorithm Neural Network Natural Language Processing 302