Sentences with phrase «less on machine learning»

The dominant part in those days was what we now called good old - fashioned AI, or symbolic AI, which was based less on machine learning.

Not exact matches

And the applied machine learning team working on Deep Text was created in the fall, so this project is less than a year old.

The «machine learning would auto - remove those underperforming ads,» he continued, «and that's what would drive the ability for us, for the first time in history, to generate more than $ 1 dollar in donations for less than a $ 1 spend on the ad.

Less obvious, we believe, are the opportunities emerging for enterprise software - as - a-service (SaaS) application companies as machine learning advances and as customers embrace SaaS deployment models over more cumbersome «on - premise» technology deployments (meaning those installed in an enterprise's data center).

Computing experts at Sandia National Laboratories have launched an effort to help discover what computers of the future might look like, from next - generation supercomputers to systems that learn on their own — new machines that do more while using less energy.

Largest quantitative study of howling, and first to use machine learning, defines different howl types and finds that wolves use these types more or less depending on their species, resembling a howling dialect.

As an aside, the form of statement used by the IPCC is similar in form to the PAC - bounds (Probably Approximately Correct) studied in machine learning, where it is impossible to produce a useul hard bound on the error rate of a learner over all possible distributions, so instead the aim is to produce a bound of the for «with high probability X the generalisation error of the learner is less than Y», where X and Y are both probabilities.

Metal was a step forward for hardware - accelerated 3D graphics, but with Metal 2, Apple promises less strain on the CPU as well as proper machine learning and better Xcode profiling / debugging in macOS High Sierra.

Mike Gualtieri, VP at analyst house Forrester, said that while Microsoft offered simpler tools for firms building their own machine - learning models, the quality of the firm's on - demand, pre-trained speech, vision and language recognition services would likely be less effective than Google's because of the search giant's access to huge amounts of training data.