In the past decade, you’ve seen computing power evolve in unimaginable ways from the time when there was a 1980’s supercomputer. From cloud computing to multi-core processing and AI, there’s been an explosion of new technology that has changed how you work and play.
Cloud computing is a way of accessing computer services and resources that a service provider over the internet provides. Cloud computing can be divided into three core types: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Cloud computing provides access to many servers, storage devices, databases and applications over the internet. You or your business can leverage these cloud-based resources to store information or run computational tasks when needed.
The second major development in computing power has been the advent of multi-core processing. Multi-core processing is a computing architecture where multiple processor cores share the same memory. While it may seem that this would decrease overall performance, it actually increases it by allowing tasks to be processed in parallel rather than serially (meaning one at a time).
With more cores available for processing tasks, you end up with faster overall processing speed; but not just any type of processor can do this—it requires special hardware technology and programming languages designed specifically to operate on multiple cores at once.
AI is a broad term that encompasses many different technologies. AI is used in many different ways, including building a computer that can beat a human at chess or Go and building robots and self-driving cars.
In the early days of computing power, programmers needed to write thousands of lines of code by hand in order for their programs to function properly. But today’s computers can interpret natural language instructions from humans (like “please print this email”), so programmers are able to work with much shorter sets of instructions—no coding required!
Machine learning, also known as machine intelligence, is a subset of artificial intelligence (AI). The idea behind machine learning is that computers can learn from past experiences without being explicitly programmed. In other words, they use algorithms to analyze large sets of data and make predictions based on what they’ve learned. For example, machine learning has applications in many areas, such as speech recognition and image recognition.
Quantum computing is a type of computing that uses quantum-mechanical phenomena, such as superposition and entanglement, to perform operations on data.
The field is still in its infancy and has been the subject of academic study for decades. However, recent advances in quantum computing have made it clear that large-scale quantum computers will be able to solve certain problems much more rapidly than classical computers can—potentially solving a problem that would take even today’s fastest supercomputers longer than the age of the universe to resolve.
Adobe Acrobat professionals state, “Rather than needing a huge, building-sized computer, you can instantly have digital document management in the palm of your hand.”
In summary, you can see how computing power has evolved in the past decade. Cloud computing and multi-core processing have enabled you to process data faster and more efficiently than ever before, while artificial intelligence and machine learning have revolutionized your ability to make sense of large amounts of data quickly. In addition to these technologies already having a major impact on your lives today, quantum computing is expected to be released soon – which will only further expand what you can do with computers!