Comment by kumarvvr
5 years ago
ML for improving business seems to be an overkill. As in, if you are a regular business, the best I can guess is developing better pattern matching systems, say credit card fraud. Most businesses I see, are using AL/ML for improving their current processes.
However, AI/ML is definitely opening up new areas of business, such as autonomous robots (A roomba is much better at its job with a ML component in it, without which, it would have been difficult to come up with such a device), Social media, face recognition, etc.
All in all, most of AI/ML needs are centered around pattern matching in one form or the other. There is much less AI, a lot more Pattern Matching.
Do Roombas include any ML component? I thought they followed a rather straightforward heuristic along the lines of a random walk, with turns when they hit an obstacle.
Some roomba types also use kalman filters (or similar) to help map out a room. Honestly I’d be surprised if ml gave you anything valuable above some already well known algorithms in this space other than a marketing bullet point.
The early generations worked as you describe. Newer/better ones attempt to map out the layout of the home, which allows them to cover larger areas, return to base to recharge/dump dirt, and to only gently touch objects instead of slamming into them at full speed. They actually probably still don't need ML for all of that, motion planning was able to avoid the need for "learning" for decades. But I bet they do use ML anyway.
New roombas and clones map your house with lidar and let you clean exact zones using a map from an app.
That’s how it operated a decade ago but they currently use computer vision to map your house and navigate the world
Ah CV not ML? No CNNs in there?