Marktechpost

MAY 12, 2024

It is based on adjustable and explainable AI technology. The technology provides automated, improved machine-learning techniques for fraud identification and proactive enforcement to reduce fraud and block rates. CorgiAI CorgiAI is a fraud detection and prevention tool designed to increase income and reduce losses due to fraud.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

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ODSC - Open Data Science

FEBRUARY 18, 2025

FinanceAlgorithmic trading and fraud detection powered by autonomous AI decision-making. Customer ServiceAI chatbots provide advanced customer support with contextual understanding. ManufacturingRobotic automation with AI-powered quality control and predictive maintenance.

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Viso.ai

MARCH 26, 2024

The integration of Artificial Intelligence (AI) technologies within the finance industry has fully transitioned from experimental to indispensable. Initially, AI’s role in finance was limited to basic computational tasks. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.

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Ofemwire

MARCH 1, 2024

It’s what organizations do with the data that matters—data analytics and AI are key to extracting insights from big data. C – Chatbot : A computer program designed to simulate conversation with human users, especially over the internet. Chatbots are often used in customer service or as virtual assistants.

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How to Learn Machine Learning

JANUARY 21, 2023

This market growth can be attributed to factors such as increasing demand for AI-based solutions in healthcare, retail, and automotive industries, as well as rising investments from tech giants such as Google , Microsoft , and IBM. In the years to come, AI is expected to become even more powerful.

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Pickl AI

AUGUST 14, 2024

The advent of Deep Learning in the 2000s, driven by increased computational capabilities and the availability of large datasets, further propelled neural networks into the spotlight. These applications enable more natural interactions between humans and machines, powering chatbots, translation services, and content generation tools.

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Pickl AI

JANUARY 13, 2025

The Hundred-Page Machine Learning Book By Andriy Burkov This compact yet comprehensive guide introduces Machine Learning fundamentals for beginners while offering advanced insights for professionals. Covers all primary Machine Learning techniques. Key Features: Explains AI algorithms like clustering and regression.

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ODSC - Open Data Science

JUNE 1, 2023

Generative AI May Help You Design Your New Game Character If legendary gaming studio Blizzard has its way, generative AI may be the next step in immersing in a game. Announcing the Free Generative AI Summit on July 20th To keep up with current trends, we’re hosting our first-ever Generative AI Summit, a free virtual event on July 20th.

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Pickl AI

APRIL 8, 2024

Overhyped Expectations The media and tech companies often portray AI as a revolutionary technology capable of solving all our problems. This can lead to unrealistic expectations and disappointment when AI fails to live up to the hype. Example In 2016, a chatbot developed by Microsoft called Tay was launched on Twitter.

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Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). For this example, the specialized model would be deployed to Vertex Endpoints using Vertex AI.

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Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). For this example, the specialized model would be deployed to Vertex Endpoints using Vertex AI.

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Heartbeat

SEPTEMBER 7, 2023

Imagine you’re training a deep learning model for image recognition. Case Study 3: Natural Language Processing Text-based AI models like chatbots and sentiment analyzers are becoming ubiquitous. The Challenge : Making chatbot responses understandable and justifiable to users.

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Viso.ai

JULY 9, 2024

Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests. However, generative AI models are a different class of deep learning.

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Pickl AI

NOVEMBER 18, 2024

Natural language processing ( NLP ) allows machines to understand, interpret, and generate human language, which powers applications like chatbots and voice assistants. These real-world applications demonstrate how Machine Learning is transforming technology. Let’s explore some of the key trends.

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Marktechpost

JULY 11, 2023

The best example is OpenAI’s ChatGPT, the well-known chatbot that does everything from content generation and code completion to question answering, just like a human. Called AutoGPT, this tool performs human-level tasks and uses the capabilities of GPT-4 to develop an AI agent that can function independently without user interference.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Bias Humans are innately biased, and the AI we develop can reflect our biases. These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development.

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Pickl AI

APRIL 2, 2024

Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Supervised Learning: Learning from labeled data to make predictions or decisions. Unsupervised Learning: Finding patterns or insights from unlabeled data.

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