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Artificial Intelligence & Machine Learning

AI

Artificial Intelligence

Machines mimicking human intelligence

ML

Machine Learning

AI subset learns from data

DL

Deep Learning

ML subset uses deep neural networks

NN

Neural Network

Systems inspired by the brain's structure.

RL

Reinforcement Learning

Learning by rewards/punishments

NLP

Natural Language Processing

Machines understanding language.

GAN

Generative Adversarial Network

Dual networks for generation & discrimination.

SVM

Support Vector Machines

Classification using a hyperplane

ANN

Artificial Neural Network

Basic computing unit of NN.

CNN

Convolutional Neural Network

NN variant for image data.

RNN

Recurrent Neural Network

NN with loops for sequences.

LSTM

Long Short-Term Memory

RNN type handling long sequences.

Dangers Of AI – Loss Of Human Connection

Why it matters: AI advancements contribute to the loss of human connection, replacing emotional bonds with algorithmic interactions.
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Dangers Of AI – Misinformation And Manipulation

Why it matters: AI accelerates the spread of misinformation, undermining trust and posing ethical challenges in digital society.
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Dangers Of AI – Unintended Consequences

Why it matters: AI's rapid advancement poses the risk of unintended consequences, such as ethical lapses and security vulnerabilities.
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Dangers Of AI – Existential Risks

Why it matters: Dangers of AI include existential risks such as loss of control, ethical dilemmas, and societal upheaval.
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Dangers Of AI – Data Exploitation

Why it matters: AI systems specialize in data exploitation, often compromising user privacy for commercial or surveillance purposes.
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