If you are a scientist specialising in the development of AI, artificial intelligence, then you are in demand, big time! Silicon Valley Facebook, Google and other leading tech companies are jockeying to hire top scientists in the field of artificial intelligence, while spending heavily on a quest to make computers think more like people. Forget humanoid robots doing chores… at least for the moment. The race is currently on for computers that understand exactly what you want, perhaps even before you’ve asked them. It’s to make the human-computer interface more even, more compatible and more intuitive. But it could also mean that the AI will know what you’re thinking… and that’s a bit freaky!
Of course, we already have AI programs can already recognise images and translate human speech. But tech researchers and scientists want to build systems that can match the human brain’s ability to handle more complex challenges. These can include to intuitively predict traffic conditions while steering automated cars or drones, for example, or to grasp the intent behind written texts and spoken messages rather than interpret them literally and slavishly.
Google paid a reported $US400 million in January to buy DeepMind, a British start-up said to be working on artificial intelligence for image recognition, e-commerce recommendations and video games. DeepMind had also drawn interest from Facebook.
The ultimate goal is something closer to “Samantha,” the personable operating system voiced by actress Scarlett Johansson in the film “Her”.
Already, Google has used artificial intelligence to improve its voice-enabled search and Google Now, as well as its mapping and self-driving car projects. Google CEO Larry Page said this at a TED technology conference last month.
“I think we’re seeing a lot of exciting work going on, that crosses computer science and neuroscience, in terms of really understanding what it takes to make something smart.”
He then showed videos from Google and DeepMind projects in which computer systems learned to recognise cats from other animals and play games – without detailed programming instructions.
Google and Facebook both hope to do more with “deep learning,” in which computer networks teach themselves to recognise patterns by analysing vast amounts of data, rather than rely on programmers to tell them what each pattern represents. The networks tackle problems by breaking them into a series of steps, the way layers of neurons work in a human brain.
For some, a powerful artificial brain that knows your preferences and habits and anticipates your wants and needs is a bit frightening and companies will need to consider ethics and privacy as they develop new services. The idea is to help us humans, not to cause us anxiety. If it all gets to much, you can always reach for the power switch and turn of the juice… but will the AI have anticipated that already? Click!