“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” by Eliezer Yudkowsky. The current public dialogue on Artificial Intelligence only focuses on a small subset of industry and academia. We’ve come a long way within the past two decades, from being introduced to the internet to now talk about AI. In the last few years, this field of study has grown exponentially. With increasing demand for more better processing efficiency graphics companies like Nvidia have launched Tesla P100. On the other hand, IT companies like Microsoft and Intel are working on reconfigurable chips called FPGAs. Even Moore’s law that after every 18-24 months the computation power of computer doubles) is also dead. It is predicted that by 2020 artificial intelligence will surpass human brain efficiency and by 2035 all human race brain efficiency. Artificial Intelligence is a very vast field it has many subfields like Deep Learning, Machine Learning, Natural Language Processing, Logics, Knowledge Discovery and Management Big Data etc. From face recognition which automatically unlocks secure systems to self-driving cars, Artificial Intelligence has opened a gateway to a new world of opportunities.
The history of artificial intelligence goes back to 90’s when a study led by Alan Turing of mathematical logic suggested that a machine by shuffling 0 and 1 can do any mathematical deduction. Turing complete artificial neurons by McCulloch and Pitts in 1943 is recognized as AI. The ideas at the heart of the field today were developed in subsequent years, but the progress stalled somewhere in the 70’s. It begs to question and more importantly, understood, the reasons behind the rejuvenation of this field of study. Modern machine learning based AI need lots of data to learn, and according to various studies that humans have created more data in the last two years than in entire human history. AI needs high computation power to process this huge amount of real-time data in a data stream and needs to be processed same time before it will be lost.
Artificial intelligence is applicable to almost every field that humankind has known. In healthcare for instance, from IBM Watson diagnosing a woman with leukemia (It has also won quiz game show Jeopardy), to modern systems predicting the patient’s return rate given a medical history, AI enabled solutions work to reduce the workload on professionals. Microsoft is also developing an AI system “Hanover” to predict right medicines for cancer patients. We can compare MRI scans with thousands of already stored MRI scans to categorize and help doctors as their assistant. In the automotive industry, we see cars like Tesla having autopilot system which is an advanced driver assistance that allows the car to drive automatically while the driver rests behind the steering. There are many self-driving cars on road like Mercedes-Benz F015, Google Waymo. Self-parking is available in almost all luxury cars nowadays. Many Banks are using AI to find fraud transactions earlier which was done manually by humans. AI can also help bank staff to decide whether to give a loan or not to a customer based on its data. AI-based buying and selling platform has changed supply and demand in a way which was never thought earlier. Today, a shopkeeper can manage their inventories based on the suggestions by AI to increase revenue. AI has made breakthroughs in Games from chess to Go, where an agent: AlphaGo beat the world champion in a three-game match. The military is using drones which can take autonomous action to protect their countrymen. Google Deepmind team reduces the google data center cooling bill by 40% when operated using AI. Humans are generating a huge amount of data every day, research is going on how to cope with this data and once in a while out-of-the-box ideas emerge as well, for instance a research suggests that it is possible to store all data present in this world in one kg of bacteria DNA which can last more than 100 years.
“I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines.” by Claude Shannon. Since the existence of humans, we have been fascinating about AI in novels like Dan Brown Origin character Winston, Frankenstein. We have seen movies like Terminator, Ex Machina where AI destroys the human race. Even business tycoon like Elon Musk has compared “Building AI to summoning the Demon” and Apple co-founder Steve Wozniak says, “Humans will be robots pet”. This is an ongoing discussion since the origin of AI that whether it is good for humankind or an end of humankind.
To conclude, at Google I/O 2018 conference we saw the application of AI as google assistant makes calls to make appointments like humans. Moley’s kitchen robot able to cook food like chefs, self-driving cars making driver free world, autonomous robots doing surgeries as doctors, regulating your home from your phone using IoT. With the steady development, evolution and acceptance of field, there will be a time soon when humans don’t need to do anything that can be done using AI or an end where AI doesn’t work for humans, but we work for AI. Our future with AI maybe be unclear but the curiosity of mankind to explore and learn about AI will keep growing with time.