The American science-fiction action movie The Terminator was launched in 1984 and it was the first glimpse of AI capabilities for the general public, a robot disguised as human being from future with a task to kill.
The movie was a “Smash hit” in North American box office. It launched the career of James Cameron, director, strengthened the position of Arnold Schwarzenegger in Hollywood, and established the concept Artificial Intelligence among masses.
What made the robot so appealing?
- It had a human-like body, and so viewers were able to establish a connection.
- Besides, its agenda, the robot could perform common, day to day activities like sitting, talking, picking up things, identifying objects just like humans.
- There was a bond between Robot (actor) and Human (child actor).
The movie gave fresh life to the fantasies of people about robots with advanced human capabilities and human emotions too.
Today, in 2018, we have not been able to develop a robot as a smart robot as The Terminator, however, we have successfully achieved several milestones that depicts an artificial intelligence-dominated near-future world. Who knows, maybe we could meet some Terminators from future walking among us, disguised as humans.
And as said by the Elon Musk about AI that “It is growing at a pace close to exponential. The risk of something seriously dangerous happening is in the five-year timeframe. 10 years at most.”
Here’s What We Have Achieved in Artificial Intelligence So Far
Below is the list of impressive feats of machine intelligence that technologists have been able to achieve so far, and the scenario is good enough.
Intelligence
In this section, you will find the intelligence of humans that machines can copy:
Recognize emotions in images and speech: Microsoft has claimed to create emotion-depicting API, which can interpret how people are feeling. The facial recognition engine can detect eight different types of emotions, namely anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. Through deep neural networks method, Microsoft trains computers to recognize the images, which is a major leap in the accuracy of the machine.
Speak: Human-computer interaction is not a distant dream because it has the ability to understand the natural speech, however it depends on a large data of recorded short speech for speech synthesis or text to speech synthesis. Google’s Concatenative TTS systems, where the recorded data is stored, is considered the best in the world, as of now, for both English and Chinese.
Translate between languages: Google Translate’s new algorithm is powered by deep learning that reduces the error to up to 60%. The mobile and web-based apps provide Chinese to English translation services and there are more to come.
Answer questions: Not just search results, Google’s AI can now understand your questions and provides the links of YouTube videos along with the excerpts of paragraphs that have the answer. It shows how efficiently the AI understands the question.
Drive: Google’s self-driving car has been already in news. The car system has been officially recognized in the US that makes room for the legalization of autonomous vehicles. US National Highway Traffic Safety Administration (NHTSA) has announced its plan to increase the number of driverless cars according to the changing trend of cars that do need human drivers.
Fly a drone: Exyn Technologies Inc. has unveiled an AI software that enables drones to fly autonomously. Through this software, drones can fly in dark, in a difficult environment, and beyond its GPS range.
Be Creative: It can write ad copies, articles, music, film scripts, design logos, and create recipes. It can also write its own machine learning software and encryption language.
Insight
In this section, you will find the advanced intelligence of machines that help in generating insight.
Predict: Using historical data, machines can predict events, whether it is related to disease, climate, building strength, crop yield, and so on. It can predict human and machine behavior patterns, traffic, parking difficulty, and many more.
Detect: It can help detect diseases and a range of medical conditions through images. Recently, Zebra Medical has claimed that their deep learning algorithm can successfully detect bone density, vertebral fractures, fatty liver, and coronary artery calcification. Besides, a team of researchers at Pennsylvania State University and the École Polytechnique Fédérale de Lausanne, has turned to deep learning algorithm to detect the crop disease, before it spreads. Not only this, but deep learning AI can also detect the presence of malware in the system.
Analyze and Verify: It can analyze track record of persons, human history, existing drugs, and others to generate new insight. It can verify the details and human identity as well to avoid fraudulence. AI deep learning algorithms can handle insurance claims and manage trade stocks.
These are just a few capabilities of deep learning AI that makes it more similar to human and provide advanced capabilities as well to interpret data in a more useful way.
In AI, the one term that you will keep coming across is deep learning, so before you set your hopes high on the technology, understand the deep learning first.
Understanding Deep Learning
In the early 2000s, with the widening reach of the Internet throughout the globe, a large amount of data starts getting created. By using faster computers and advanced computational technique, this data can be used to provide training to large neural networks. Deep learning is algorithms that enhance the performance of the machines, as the more and more data is fed to them.
With data as a key to AI, there are high chances that technology is going to grow exponentially as machine capabilities to collect, store, and process data is also growing. If you are interested in creating AI based apps for your business it is the best time to connect to an app development company, as though the technology is well established, it is still at a nascent phase. It has high potential to understand the customers’ behavior and generate insight for businesses.
Since AI is growing and taking the shape what once it has been expected, it is time for the smart CEOs to utilize the benefits of AI and create products, services, and process that delight customers.
Author
Siya Carla is Business Development Manager at Finoit Technologies, a leading custom software development company which turns ideas into reality by providing unique web design and mobile app development services.
