Analytics Vidhya

FEBRUARY 25, 2023

Though we have traditional machine learning algorithms, deep learning plays an important role in many tasks better than […] The post Introduction to Neural Network: Build your own Network appeared first on Analytics Vidhya.

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Unite.AI

MARCH 20, 2025

A Nordic deep-tech startup has announced a breakthrough in artificial intelligence with the creation of the first functional “digital nervous system” capable of autonomous learning. How the Technology Works At the heart of IntuiCell's innovation is a fundamental shift in how machines learn.

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Unite.AI

MARCH 9, 2025

This rapid acceleration brings us closer to a pivotal moment known as the AI singularitythe point at which AI surpasses human intelligence and begins an unstoppable cycle of self-improvement. Instead of relying on shrinking transistors, AI employs parallel processing, machine learning , and specialized hardware to enhance performance.

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Analytics Vidhya

JULY 16, 2024

Introduction Assume you are engaged in a challenging project, like simulating real-world phenomena or developing an advanced neural network to forecast weather patterns. Tensors are complex mathematical entities that operate behind the scenes and power these sophisticated computations.

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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. Since computing beliefs about the evolving state requires integrating evidence over time, a network capable of computing belief must possess some form of memory.

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Unite.AI

FEBRUARY 6, 2025

AI and machine learning (ML) are reshaping industries and unlocking new opportunities at an incredible pace. There are countless routes to becoming an artificial intelligence (AI) expert, and each persons journey will be shaped by unique experiences, setbacks, and growth. The post No Experience?

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js is its intuitive approach to neural network training and implementation. environments.

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Unite.AI

NOVEMBER 19, 2024

For years, artificial intelligence (AI) has been a tool crafted and refined by human hands, from data preparation to fine-tuning models. This dependence limits AI’s ability to be flexible and adaptable, the qualities that are central to human cognition and needed to develop artificial general intelligence (AGI).

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Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers.

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AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. Machine learning is a subset of artificial intelligence used to develop algorithms and statistical models to enable computers to perform specific tasks without the need for instructions.

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AI News

JANUARY 28, 2025

Operating virtually rather than from a single physical base, Cognitive Labs will explore AI technologies such as Graph Neural Networks (GNNs), Active Learning, and Large-Scale Language Models (LLMs). Ericsson has launched Cognitive Labs, a research-driven initiative dedicated to advancing AI for telecoms.

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Analytics Vidhya

JANUARY 23, 2023

But what if there […] The post Artificial Intelligence in Sports: Generating Match Highlights With AI appeared first on Analytics Vidhya. Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit.

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Marktechpost

OCTOBER 31, 2024

Trending ] LLMWare Introduces Model Depot: An Extensive Collection of Small Language Models (SLMs) for Intel PCs The post XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science appeared first on MarkTechPost.

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Towards AI

MARCH 4, 2025

Convergence Assurance Techniques for Modern Deep Learning This member-only story is on us. When we talk about neural networks, we often fixate on the architecture how many layers, what activation functions, the number of neurons. Neural networks face a similar journey. Upgrade to access all of Medium.

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Unite.AI

OCTOBER 2, 2024

Machine learning can analyze these datasets yet preparing them for analysis can be time-consuming and cumbersome. This article examines how Microsoft’s TorchGeo facilitates the processing of geospatial data, enhancing accessibility for machine learning experts.

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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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Unite.AI

FEBRUARY 12, 2025

Artificial Intelligence (AI) is advancing faster than ever, and now, the idea of Artificial Super Intelligence (ASI ) is moving from science fiction into a possible future. ASI is a form of intelligence that outperforms human abilities in almost every field, from scientific discovery to social interactions.

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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?

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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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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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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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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.

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Machine Learning Large Language Models LLM BERT 291

IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

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Marktechpost

DECEMBER 28, 2024

Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition.

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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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Analytics Vidhya

JULY 25, 2022

Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

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Analytics Vidhya

MAY 31, 2023

Leonardo da Vinci’s masterpiece, the Mona Lisa, has been given a new lease of life thanks to artificial intelligence (AI). International researchers have used state-of-the-art neural networks and machine learning to create a holographic projection of the iconic painting.

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Pickl AI

DECEMBER 29, 2024

Summary : Mathematics for Artificial Intelligence is essential for building robust AI systems. Introduction Mathematics forms the backbone of Artificial Intelligence , driving its algorithms and enabling systems to learn and adapt. Linear algebra helps in data manipulation and neural network training.

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Flipboard

OCTOBER 8, 2023

Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms.The research could ha

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Analytics Vidhya

JUNE 5, 2023

Introduction In the realm of artificial intelligence, a transformative force has emerged, capturing the imaginations of researchers, developers, and enthusiasts alike: large language models.

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Analytics Vidhya

MAY 29, 2024

Introduction Neural networks are systems designed to mimic the human brain. Many artificial intelligence applications rely on neural networks. They consist of interconnected neurons or nodes. These nodes work together to interpret data and find patterns.

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Towards AI

JANUARY 29, 2025

Photo by Andrea De Santis on Unsplash Artificial Intelligence (AI) has revolutionized the way we interact with technology, and Generative AI is at the forefront of this transformation. Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

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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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Marktechpost

OCTOBER 28, 2024

AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup.

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Unite.AI

OCTOBER 10, 2024

A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to obtain better results – and better resistance to adversarial attacks. In contrast, JPEG-DL (right) succeeds in distinguishing and delineating the subject of the photo.

Neural Network 159

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 159

Towards AI

MARCH 7, 2025

Limitations of ANNs: Move to Convolutional Neural Networks This member-only story is on us. The journey from traditional neural networks to convolutional architectures wasnt just a technical evolution it was a fundamental reimagining of how machines should perceive visual information. Author(s): RSD Studio.ai

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Flipboard

APRIL 5, 2025

The proposed model integrates Adaptive Instance Normalization (AdaIN) and Gram matrix-based style representation within a convolutional neural network (CNN) architecture. Specifically, the research explores techniques to improve the visual coherence of style transfer, ensuring consistency and accessibility for practical use.

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