Blog

What Is Spring AI? At the London School of Emerging Technology (LSET), we’re eager to talk about Spring AI. It’s a framework that’s changing app development. Spring AI is part of the Spring family, as seen on the Spring website. It helps developers add artificial intelligence to their projects. You can connect your data and APIs to AI systems. This creates apps that are smarter and faster. They also give...Read More

In today’s data-driven world, artificial intelligence (AI) and machine learning (ML) are at the forefront of digital transformation. Amazon Web Services (AWS) provides a comprehensive suite of tools that support the full lifecycle of AI and ML projects. From data ingestion to model deployment, AWS simplifies and enhances every stage of the workflow. Introduction to AWS’s Role in AI and ML Cloud-based AI and ML are central to building scalable,...Read More

Securing your Wi-Fi is an essential first step toward maintaining your personal and professional cyber hygiene. With more devices connecting to the internet than ever before, securing your wireless network helps prevent unauthorised access, data breaches, and cyber threats. Below are five recommended practices to help keep your Wi-Fi network safer and more resilient: 1. Regularly Update Router Firmware Many overlook firmware updates, but they often contain critical security patches....Read More

Artificial intelligence (AI) has made remarkable strides in recent years, and at the heart of many of its breakthroughs lies a class of algorithms known as neural networks. Among these, Recurrent Neural Networks (RNNs) have played a critical role in enabling machines to process and understand sequential data, from language to music, time series to video. In this article, we’ll explore what RNNs are, how they work, their variants, applications,...Read More

Machine Learning (ML) helps computers learn from examples rather than following fixed instructions. It’s widely used in areas like healthcare, finance, transport, and cybersecurity, but how does it actually work? Here’s a simple step-by-step look: 1. Input Data Every ML project begins with collecting data. This might include anything from photos and text to numbers in spreadsheets. The quality of this data really matters, so it’s important to tidy it...Read More