AI Deep Learning
AI Learn: Bidirectional Long Short-Term Memory (BiLSTM)
Bidirectional Long Short-Term Memory (BiLSTM) is a variation of the standard Long Short-Term Memory (LSTM) neural network, which is widely used for sequence prediction tasks.
AI Assistant
AI Learn: Sentiment Analysis and Classification
AI Sentiment Analysis and Classification is a pivotal area within artificial intelligence, focusing on the interpretation and categorization of human emotions and opinions expressed in textual data. By leveraging Natural Language Processing (NLP) techniques, AI systems can discern the sentiment—positive, negative, or neutral—behind written content, enabling businesses and organizations to Read more…
AI Deep Learning
AI Learn: Recurrent Neural Networks (RNNs)
Recurrent Neural Networks (RNNs) are a class of artificial neural networks designed to recognize patterns in sequences of data.
AI Deep Learning
AI Learn: BERT (Bidirectional Encoder Representations from Transformers)
BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained deep learning model designed for a variety of NLP tasks.
AI Deep Learning
AI Learn: Transformers
In the context of AI, “Transformers” refers to a type of deep learning model architecture that has revolutionized natural language processing (NLP) and other machine learning tasks.
AI Governance and Ethics
AI Gov: Navigating Conflicting Rule Sets
One of the most significant challenges in AI governance and ethics is reconciling the inherent complexity of human behaviour, societal rules, and technological possibilities
AI Learn
AI Learn: The AI List Server Model: A Static Approach
The AI List Server Model is a traditional method of AI interaction where the system offers predefined, static responses to user inputs.
AI Deep Learning
AI Learn: Neural Networks – In depth Briefing
Neural networks are a foundational concept in artificial intelligence (AI) that have revolutionized machine learning and problem-solving across multiple domains.
AI Help
AI Help: Machine Learning
Machine learning (ML) is a field of artificial intelligence (AI) that allows computers to learn from data, identify patterns, and make decisions without explicit programming.