The Artificial Intelligence boomed this year similar to the few other areas in tech, despite the scientific breakthroughs, an oversupply of funding, and the latest products that are rolling out to the customers, the field has problems that couldn’t be avoided. Few of these like the company driven hype and the sensational headlines; they all need a better communication from the media and experts. Rest of the challenges are more and can take a longer time to get addressed like the bias in algorithms along with the growing threat to tech firms that are becoming Artificial Intelligence monopolies as soon as they hoover up data and talent.
The earliest in order; Artificial Intelligence was everywhere in 2017. Moreover, you are right to be skeptical, when you hear this; it’s a positive news. The experts compare artificial intelligence to electricity as it is a source of the potential that helps in transforming a broad range of industries. It is obvious that there are multiple important technologies in each sector but on the other hand, it is the machine’s cleverness with smaller implementations that may be added up for having the biggest impact.
The bigger companies like Google, Apple, and Microsoft have already been found pouring tons of funding into the Artificial Intelligence field. It is fair to talk about what the end results have been often at small scale.
For instance- Google’s put AI in a camera that automatically snaps photos of your family, and Apple’s new animated emojis is powered by facial recognition. These things won’t change the world, but collectively they build new efficiencies and new experiences.
These things never contribute to any changes in the world but altogether they keep contributing to building new efficiencies and new experiences.
You can compare to this steady drip of Artificial Intelligence integration with academic research that was a raging torrent. In the year 2017, the labs and universities have published names like DeepMind that have made a significant breakthrough. The company’s work removing human knowledge from its champion AlphaGo algorithm and then proving its skills work in other games spring to mind. Congratulations should be somewhat restrained, as there’s a case to be made that the current wave of AI is supported by too few core modernizations. But by no means has key research stopped, and some of the radical new ways are showing the first stirrings of life.
In 2017, robots also stirred to life, however, the year revealed both the limits of current tech and its future agreement. A lot of effort is already going into applying the fruits of Artificial Intelligence to the current industrial robots, with companies like Kindred, Embodied Intelligence, Amazon, and Ocado working on dextrous and dynamic machines for warehouses and assembly lines. Advances here are likely to have a huge effect in a range of industries, as robots would be put to work pretty much anywhere stuff needs moving about.
In terms of robots for the home, this year is also expected to offer its fair share, including Mayfield Robotics’ Kuri, an as-yet-unseen model from Misty Robotics, and the prototypes from LG and Sony as well.
But despite the pop culture’s lasting appreciation of the robot butler, these creations don’t represent major breakthroughs at all. They’re the mostly bulky shells for virtual assistants and the VRs, where the innovation always come from improved natural language processing. That’s the interconnected service that allows you to order a pizza with your voice. And if that’s all you want out of a home robot, you’d be better off buying an Amazon Echo.