Artificial Intelligence

Understanding Neural Networks in AI

AI vs. ML vs. RBL: The differences between Artificial Intelligence and Machine Learning and Rules Based Learning

Artificial intelligence and machine learning are two terms that are often used interchangeably, but they are actually quite different.

Training AI Systems - Learning Types

Learning Types refer to the fundamental ways in which an AI model learns from data. This category includes: Supervised Learning, Unsupervised Learning and Reinforcement Learning

Memory in Artificial Intelligence: The Key to Advanced Learning

Hyperparameter Tuning in AI: Enhancing Model Performance

Hyperparameter tuning optimises AI model performance by finding the best parameter settings. It improves accuracy, saves resources, and is crucial for AI development. It also prevents overfitting, where a model learns to perform exceptionally well on the training data but fails with new unseen data

Replay Memory in AI

Replay memory is a machine learning technique that stores and reuses past experiences to enhance an agent's decision-making. Common in reinforcement learning, it helps agents learn from diverse situations, improving performance in applications like game AI, robotics, and autonomous vehicles.

Episodic memory in AI

Episodic memory is the capacity to recall specific occurrences. Incorporating this human-like ability to recall past experiences can enhance AI performance and create adaptable, context-aware AI systems.

AI School Reports

Startup Real Fast Reports combines AI efficiency with a teacher's personal touch to create school reports for pupils

AI Study Buddies: Revolutionizing Education or Crossing Copyright Boundaries?

Explore how AI "study buddies" could transform education while raising critical questions about intellectual property rights and the use of copyrighted materials in AI development.

AI in Formula One Racing: Accelerating Performance and Safety on the Track

As the Azerbaijan Formula One race approaches, it's clear that AI has become an integral part of the sport. By harnessing the power of data, AI is transforming racing, helping teams optimise performance, develop winning strategies, and ensure driver safety.