(The technical name for this is TensorFlow Lite, which puts
machine learning tasks on the phone, so the device can instantly take care of the job in real time, rather than ping the cloud and wait for a response.)
Not exact matches
According to a report
on disruptive technologies from the McKinsey Global Institute, advances in artificial intelligence,
machine learning and user interfaces like voice recognition are automating knowledge - worker
tasks once deemed impossible for
machines to tackle.
AI,
on the other hand, facilitates human - like
learning so that the
machine's performance of a
task becomes increasingly adjusted to its user's needs.
Another thought that the authors» statement brings to mind is if
learning is not needed to help people perform better then perhaps the
tasks that they are working
on should be done by an intelligent
machine using Artificial Intelligence (AI).
Their detailed examination also let see that,
on one hand, changes will be especially important in routine work, but,
on the other hand, much more limited for complex legal
tasks because of the
machine learning - based approaches difficulties in processing situations outside the training set
on which they
learn.
«Most of the innovations in artificial intelligence and
machine learning will introduce automation at the
task level, which will allow people to focus
on more complex
tasks.»
These processors are the exact platform
on which companies are now developing the abilities to boost mobile AI, mobile VR, and
machine -
learning tasks.
Simply put, smart homes use Wi - Fi connectivity and
machine learning to streamline daily
tasks in the home using a centralized hub that can be controlled
on site or remotely via smartphone.