All Blog Posts

Artificial intelligence in computer science is transforming how we learn, teach, and innovate. From its early roots in the 1950s to today’s adaptive learning platforms and AI-powered tutors, this blog explores how modern education is evolving through intelligent technology, with computer science at the heart of it all.

Advanced artificial intelligence is redefining the way we interact with technology, and voice-to-text services are leading the charge. This comprehensive guide explores how to set up speech-to-text tools across devices, improve transcription accuracy, and apply them in real-world scenarios. Whether you're a content creator, business professional, or student, learn how advanced artificial intelligence is powering smarter, faster, and more accessible communication through voice.

Artificial intelligence might feel like a modern invention, part of the recent wave of digital disruption. But its roots run deep, tangled in decades of theory, experimentation, failure, and quiet success. The idea of intelligent machines has flickered in the imagination of philosophers, mathematicians, and engineers for centuries. What has changed is not the ambition, but the means by which it is achieved.

Discover how AI powers your phone’s everyday features, from predictive text to face recognition and explore the link between mobile AI and artificial general intelligence pdf research.

AI (artificial intelligence) is becoming more and more familiar to individuals regardless of their careers and interests. Although, do you know any of the common technical terms when speaking on the topic? In today's blog, we will be covering AI terminology for beginners to ensure you know exactly what specific jargon means when hearing it on the news, through teachers, colleagues and more!

Artificial intelligence is often described as the most powerful technology of our time. It can analyse data at extraordinary speed, generate creative content in seconds, and automate processes that once required hours of human effort. Yet, like any tool, it is far from perfect. The glossy headlines about breakthroughs and the promises of efficiency often overshadow a more sobering reality: when artificial intelligence goes wrong, it can do so in ways that are frustrating, costly, and even dangerous.

AI tools are rapidly becoming everyday essentials, and ChatGPT is one of the most powerful (and arguablly the most popular) examples in action. Whether you need help drafting a proposal, answering customer questions, or just generating ideas, ChatGPT can become a valuable part of your workflow.

We take a slight turn with this blog post and instead go through some commonly asked questions that we have recieved over the years from the standard to a bit more niche. In this Q&A, you’ll find both practical fixes for common AI tool errors and a deeper dive into what these errors teach us about our relationship with intelligent machines.

When the terms machine learning, deep learning and generative AI are mentioned, it can cause confusion as to what the differences are and what their roles play individually as part of artificial intelligence. Lets build your AI knowledge base and be confident in what is evolving in the digital space... together.

Artificial intelligence is no longer a vague promise of the future. It is quietly changing how we teach, manage money, and market products today. The best AI assistant is not simply the flashiest new app but the one that integrates smoothly into existing workflows, reduces wasted time, and delivers measurable impact.

Every household is unique. The walls may be the same brick and mortar, but what happens inside reflects individual habits, cultures, and choices. Increasingly, one of the biggest differences between homes is the technology running quietly in the background.

Artificial intelligence is no longer a futuristic concept or something reserved for Silicon Valley giants. It is now embedded into the tools we use every day. From editing documents in Word to building data models in Excel to collaborating in Google Docs, AI tools are changing not just what we produce, but how we work.

Most people are aware that AI methods help banks detect fraud or speed up trading. Yet the real story runs deeper. These AI methods are redefining how financial systems handle risk, how regulators enforce trust, and how consumers experience the security of their money. In this article, we will explore three of the most critical applications of AI methods in banking: fraud detection, algorithmic trading, and risk assessment. Along the way, we will also look at the regulatory challenges and the human dimension behind the numbers.

Artificial Intelligence (AI) has moved well beyond chatbots, search algorithms, and self-driving cars. Today, it sits at the very heart of financial services, shaping how we budget, save, and invest. From apps that categorise your spending habits to robo-advisors that build and rebalance portfolios, AI in financial services is democratising access to tools once reserved for professional wealth managers.

At Projekt Rising, we work with businesses every day to break down artificial intelligence and make it actually useful. Whether you're just starting to explore how AI could better support your team, or you're knee-deep in automation options, you've probably got questions. What is AI? Will it take your job? Get clear, practical answers from the experts at Projekt Rising, plus how AI can help your business today.

Artificial intelligence might sound like something only the giants of Silicon Valley can afford, but the truth is that AI has slipped into everyday marketing in ways most people don’t even notice. What I am going to do in this blog is present some interesting and fun facts about artificial intelligence.

Artificial intelligence is all around us, but it is often misunderstood. Some people think it is on the verge of replacing humans entirely. Others assume it is nothing more than a fancy spreadsheet with a voice. The truth sits somewhere in between. This post explores what AI can actually do right now, and just as importantly, what it still cannot. If you are thinking about using AI in your business, knowing its strengths and limitations is not just helpful. It is essential.

Discover how AI shows up in your daily life, from your alarm clock to your shopping cart. A practical guide to recognising artificial intelligence in action. This article doesn’t just list examples. It digs into both how and why these systems matter, and what that means for you as a user, professional, or business leader.

For small business owners, time is always in short supply. Between client meetings, admin, emails, and the unexpected chaos that every week inevitably delivers, even the most organised schedule can start to feel like a game of SME Tetris. That’s where AI tools can step in, quietly handling the invisible parts of your day and helping you focus on what really matters.

AI is now a daily tool, and if you want to get the most from it, you need more than a sign-up and a password. You need the right environment. This guide does not just list obvious tips. It explains why each step matters, how AI computers process the information you give them, and what that means for you and your business.

Artificial Intelligence is not always a cost to your business and can assist you by being the smart helper that you may not even be able to notice or track within day to day tasks. With Projekt Rising, we help businesses and teams thrive with the use of AI. Keep reading our blog to discover how AI can really contribute to your ROI and examples of this in the modern technological world of work.

In today’s tech-driven world, Artificial Intelligence (AI) is becoming more prevalent in our daily lives. From personalised recommendations on streaming platforms to customer service chatbots, AI is reshaping industries and how we interact with technology. However, with great power comes great responsibility, and AI brings with it a set of ethical considerations that can affect individuals and businesses alike. This blog will delve into three critical ethical issues in AI: bias, privacy, and transparency, and why they matter for both everyday users and small to medium-sized enterprises (SMEs).

Every business needs a strong team that is entirely aware of their daily tasks but equally the software, tools and procedures frequently needed and used across the workplace. Seen as artificial intelligence (AI) is becoming the ultimate way to upskill your team and make business streamlined, it is worth spending time to teach your staff the world of AI. At Projekt Rising we are in the process of offering an AI toolkit to help people get started - join the queue today!

Artificial intelligence has introduced countless new terms into the modern business vocabulary, many of which sound more complex than they truly are. Transfer learning is one of those ideas that can feel intimidating at first glance, yet it plays a central role in making today’s smartest AI systems efficient, adaptable and surprisingly powerful. At its heart, transfer learning is simply about reusing knowledge. Rather than training a brand new AI model from scratch every time you face a new challenge, you begin with a model that already understands something useful, then build on top of it. This approach saves enormous amounts of time, data and computing power, which is why it has become such an essential technique across the AI world.