Technologies in movies
realized with intelligent
semiconductors
SF movies telling stories of AI have been immensely popular since the 1980s, fulfilling the technical expectations of the audience with diverse representations. The super vehicle KITT from [Knight Rider], the massively popular US TV show, appears as the crime-fighting car based on advanced AI capable of talking with the protagonist beyond autonomous driving. The AI tech in the show seemed to advance to the level of self-learning and making predictions, not just providing predefined functions.
Andrew, the android servant in the movie <Bicentennial Man>, is described as being capable of creating its own work of art and thinking on its own beyond doing chores like taking care of children. Jarvis, the combat assistant AI of <Iron Man>, can understand dilemma and paradox with a high level of literary sense. Samantha in <Her> shares diverse emotions with humans through communication and learning thanks to high-performance data processing.
Note, however, that the current AI is not capable of feeling emotions or thinking on its own like those in the movies. Currently, some AI applications can exceed the accuracy and prediction capability of humans in some fields requiring exponential amounts of computations. Especially they are good at analyzing patterns with visual or auditory sense, enough to distinguish things like humans.
How far has the fast data processing technology advanced, which serves as the basis of these AI applications? The intelligent semiconductor developed by ETRI is a good example. ETRI came up with Aldebaran (AB3) for unmanned vehicles in 2016 and its sequel, AB5, for autonomous vehicles in 2017.
Aldebaran going
through upgrades
The intelligent semiconductor technology unveiled by ETRI in 2017 was as small as a fingernail but capable of recognizing objects with human-like accuracy and speed. The object recognition technology used to be applied to limited fields such as recognizing license plates, lanes, and faces, but the current AI-based recognition can determine and categorize objects by learning them, beyond processing input of images thanks to recognition processing structures similar to the neural networks of humans.
Global players are also working on processors with similar capabilities but face the issue of too much power consumption required for real-time processing of a large amount of data. The ETRI team realized visual intelligence capable of recognizing general objects in real time on mobile ICT platforms thanks to its in-house high-efficiency process design. It also boasts of the world's top-level power efficiency.
By late February, ETRI announced that its researchers developed the “AB9” chip, a new version of the in-house performance processor Aldebaran, and that the chip is going through final performance verification for voice recognition services of local carriers.
Dreaming of AI like
“Jarvis” and “Samantha”
Furthermore, ETRI managed to create an NPU (Neural Processing Unit) that achieved both high-performance computation and low power consumption. The chip is capable of 40 TFLOPS of computation while consuming only 15 W of power. Its performance per power unit is up to 25 times better than existing commercial products, while power consumption is 20 times smaller.
The price competitiveness is also remarkable. One commercial GPU costs USD 8,000 ~ 10,000, but the ETRI chip will be available at a mere hundreds of USD, or up to 50 times cheaper. It can also be used in diverse applications and easily commercialized as it is optimized for deep learning computations.
The team aims to develop a chip capable of accurately recognizing all moving objects like humans, which will enable services involving the determination of the destination by talking with people and moving to it on its own.
AI applications capable of understanding emotions and thinking on its own, like “Jarvis” and “Samantha” in the movies, may still be in the realm of imagination. Still, current technologies have reached the level of recognizing and categorizing objects in real time with absolute performance and power consumption. Someday we will be working and living with AI just like in an SF movie.