Original article was published by Brandon Wong on Artificial Intelligence on Medium
Where is Artificial Intelligence (AI) heading?
Oftentimes I am asked, “Where do you think Artificial Intelligence will be in the next 10 to 20 years?” The definition of Artificial Intelligence, also known as AI, is the simulation of human intelligence in machines that exhibit traits such as critical thinking and problem solving.
Artificial intelligence is not new technology, it has been around for decades, but has become the center of attention in the recent years due to the increase in computational power available to us. We are exponentially becoming more and more capable of creating machines that can handle larger learning sets, training data, and neural network models. In this article I will explain what I think will happen with AI in the future and why.
What I think going to happen 10 years from now?
Artificial intelligence is truly the driving force of automation in this country and there is tons of business incentive to use AI versus a human for labor. For example, AI can work 24/7 without rest, AI is consistent and reliable with almost 99.99% accuracy, and AI does not require life/health insurance. From a societal perspective, I truly see AI replacing at least 70% of jobs in a few decades as well as even replacing a lot of human interaction.
When you hear about AI, you will commonly also hear about ML ( Machine Learning ) which is a subset of AI and that is the study of computer algorithms that most often are meant to help achieve/improve AI. In the current day, having and ML department is a luxury, but businesses are slowly seeing the cost benefits in investing in ML Engineers and ML research and soon enough replace jobs that are repetitive, tedious, or require little to no critical thinking ability.
What is Quantum computing?
Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. In terms of technologically, as opposed to our normal bitwise 1’s and 0’s, a singular bit or in this case “q-bit” can be represented as both 1 and 0 at any given moment, this is what is called superposition.
In 10 to 20 years, I also see AI being run successfully on quantum hardware. With the current breakthrough in quantum technology we can train ML models hundreds of times faster and store thousands of times more data than using the traditional bitwise operators ( binary system ) that we are used to.
The future of quantum is closer than we think, just this past year Google achieved the benchmark of quantum supremacy and IBM was the first, meaning that they were able to create a quantum device that can solve a problem that no classical computer can solve in any feasible amount of time.
The challenge is currently that quantum computing is still relatively new and extremely complex and the manufacturing of quantum hardware is extremely expensive. Once we overcome these two barriers, we will be able to run almost human like AI with personalities and problem solving skills. At a small scale, the analogy is similar to getting everyone to drive fully electric cars from gas cars or moving everyone to 5G from 4G.
The day we are able to move away from the traditional bitwise methods of computing data and then standardize the manufacturing of quantum software and hardware. You will see a enhancements in technological advancement from every sector including block-chain, virtual reality, cloud computing, of course artificial intelligence, and many more.
Thank you again for taking the time to read and hope you have a great rest of the week!