Unite.AI

OCTOBER 23, 2023

These AI-generated visuals can be used to create deceptive content that appears genuine, leading to serious consequences. Identity theft , in which impersonated victims lose money due to credit card fraud or become entangled in fraudulent loans, is a growing threat today. The content originates from an unverified or suspicious source.

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Metadata AI AI Artificial Intelligence 189

Mlearning.ai

FEBRUARY 2, 2024

When we look at bank transactions, each transaction seem to be independent from one another, however each deposit, withdrawal, and transfer represents a part of the account holder’s intention, and when weaving those intentions together, we can see the entirety of their intentions, which can help fraud detection professionals catch fraud.

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IBM Journey to AI blog

FEBRUARY 14, 2024

YouTube will deliver a curated feed of content suited to customer interests. Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders.

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Computer Vision Automation Robotics AI 208

Viso.ai

MARCH 29, 2024

Can have tags for tracking attributes (e.g., Example: “task” tag for identifying question-answering models. IoT Anomaly Detection: A manufacturing company uses the Model Registry to manage anomaly detection models deployed on their production equipment. version number increases). pre-deployment checks).

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

Artificial Corner

JULY 9, 2023

Here are a few practical applications: Anomaly detection: Unsupervised learning can detect unusual patterns or outliers in data, enabling the identification of fraud in financial transactions or anomalies in medical diagnoses. Stay tuned for more exciting content!

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Towards AI

FEBRUARY 20, 2024

This ability empowers them to identify patterns, make predictions, and even generate creative content. K-means) Applications of Machine Learning Here are just a few of the countless applications of machine learning: Face recognition: Used to unlock smartphones, tag people in photos, and even track criminals.

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Machine Learning ML Neural Network Algorithm 83

NVIDIA

JULY 13, 2023

Click to view the infographic: Generating the Next Wave of AI Transformation Generative AI for Drug Discovery Today, radiologists use AI to detect abnormalities in medical images, doctors use it to scan electronic health records to uncover patient insights, and researchers use it to accelerate the discovery of novel drugs. In the U.S.,

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