1 AI history
To appreciate advancements like smart home devices, it’s helpful to be aware of the history of AI. From its beginnings with the simple rule-based systems of the 1950s, to the advanced algorithms of today, AI evolved continuously and significantly.
This video reveals how AI concepts and breakthroughs paved the way for the intelligent devices and applications we rely on daily. By exploring AI’s past, we gain insight into how it evolved to become an integral part of our modern world, impacting everything from our homes to our workplace.
Download this video clip.Video player: Video 1
Transcript: Video 1
Voice Over:
Before the digital age, before cassette tapes, and even before the popularity of vinyl records, there was a time when artificial intelligence, known as AI, was born.
Voice Over:
Often perceived as a contemporary marvel, AI actually spans more than seventy years.
Voice Over:
In 1950, Alan Turing, a pioneer in computing, posed a profound question: ’Can machines think?’ This marked the beginning of a new era in technology.
Voice Over:
In 1956, the Logic Theorist, considered the first AI program, was developed. Throughout the 1960s and 70s, we saw a rise in pattern recognition and advanced algorithms, laying the groundwork for future developments in AI.
Voice Over:
Fast forward to the late 1990s, the internet led to an explosion of data, providing the raw material for more advanced AI algorithms.
Voice Over:
This abundance of data led to a shift from a knowledge-driven to a data-driven approach in machine learning. The 2000s were a pivotal period that saw the rise of more enriched AI models and complexity, like deep learning. In the 2010s, we saw AI become a part of everyday life, including the integration of virtual assistants, like Cortana and Siri, into products.
Voice Over:
By 2021, generative AI took centre stage.
Voice Over:
This form of AI can generate written, visual, and auditory content from historical, learned, and new data. This marked the beginning of a more personalised, humanised interaction with technology and the creation of new AI models.
Voice Over:
Generated Pre-trained Transformer, or GPT, is a neural network and machine learning model inspired by the human brain’s functioning.
Voice Over:
Voice Over: GPT generates content through natural, conversational language. DALL·E, an AI model that generates images based on textual descriptions, bridging the gap between language and visual art.
Voice Over:
Whisper is an automatic speech recognition system trained on an extensive dataset of multilingual and multitask supervised data collected from the web.
Voice Over:
These advancements in AI have opened new possibilities, including Microsoft Copilot, an AI-powered productivity tool designed to enhance your daily life. It leverages the power of AI to boost productivity, unlock creativity, and enhance understanding through a simple chat experience. And not only can Microsoft Copilot assist in supporting you through your day, but with the power of DALL·E, it can create images based on the prompt you give it. Copilot is also breaking down barriers for software developers.
Voice Over:
It is a tool that understands programming logic, allowing developers to craft or evaluate scenarios in any language they choose, all through the power of voice and text.
Voice Over:
From the spark of curiosity that ignited in Turing’s mind to the innovation of today’s AI tools, we have indeed come a long way.
Voice Over:
And this is just the beginning. As we continue to explore AI, it is crucial for everyone to understand the basics. Understanding what AI is and how it works empowers us to harness its full potential, fostering innovation and progress.
Video 1
Interactive feature not available in single page view (see it in standard view).