Articles

How Ski Resorts use Artificial Intelligence

Ski resorts are leveraging Artificial Intelligence to improve the the skiing experience and management on the mountains.

LoRA : Low Rank Adaptation of LLMs

A quick explanation of LoRA

Leveraging Existing Foundation Models for AI Applications

Pretrained LLMs can be leveraged for your AI application

A short history of Artificial Intelligence

A short history of AI from 1950 to today.

Text to Speech AI

Eleven Labs Startup has created an Artificial Intelligence tool to create realistic speech from text.

AI presentations

Tome allows users to create stunning presentations from a prompt in seconds

Artificial Intelligence Training : Different ways to learn

There are many ways to learn about Artificial Intelligence, from online courses to in person bootcamps. Here are a few of our favourites. NB We will be adding to this so please keep visiting.

Wag - an AI dog walking app

Wag uses AI to provide a personalised dog walking service

AI Learning Types - Reinforcement Learning

In reinforcement learning, AI systems learn by interacting with their environment and receiving feedback in the form of rewards or penalties. The AI system aims to maximise the cumulative reward over time by choosing the optimal sequence of actions.

AI Learning Types - Unsupervised Learning

Unsupervised learning can find interesting patterns in your data

AI Learning Types - Transfer Learning

Transfer learning is a technique in machine learning where a model trained on one task is repurposed on a related task, leveraging the knowledge it has already gained to improve learning efficiency and performance.

AI Learning Types - Supervised Learning

Supervised learning uses labelled data to predict the outcome

AI Algorithm

Machine learning algorithms enable an AI system to learn from data and improve its performance over time.

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.

Memory in Artificial Intelligence: The Key to Advanced Learning

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.

Understanding Neural Networks in AI

Natural Language Processing: A Key Component of AI

Natural Language Processing (NLP) is a subfield of AI that focuses on understanding and generating human language. It encompasses tasks like text analysis, machine translation, and sentiment analysis, transforming how we interact with technology and opening up new possibilities.

Choosing or Coding a Neural Network

While crafting a neural network from scratch is feasible, it's often more practical to select a pre-trained one from libraries like Hugging Face and adapt it to your needs.

Naming your startup

Unlock the secret to business success through the power of a name, and explore the critical role it plays in the world of branding and marketing."

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 School Reports

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

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

Advanced Training of AI Systems - Learning Paradigms

Learning Strategies or Paradigms refer to the higher-level strategies that an AI model can use to enhance its learning process, often regardless of the learning type being used. This category includes: Transfer Learning, Multi-task Learning, Active Learning and Semi-Supervised Learning.

AI Algorithms: Traditional Machine Learning vs. Deep Learning

While traditional machine learning algorithms excel with structured data and well-defined problems, deep learning models use neural networks to process and learn from unstructured data.