For a long time, Apple segregated itself from the rest of the artificial intelligence community, refusing to attend conferences, or to let its researchers publish their work in existing journals.
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
Apple hasn't always been very open about its technology or its research, but the company surprised everyone last year when AI director Russ Salakhutdinov announced that Apple would begin publishing ...
Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...
Machine learning (ML) — technology that learns from experience (data) to predict the behavior of each individual — is well known for improving the bottom line by running major operations more ...
Thanks to the likes of Google, Amazon, and Facebook, the terms artificial intelligence (AI) and machine learning have become much more widespread than ever before. They are often used interchangeably ...
84% of marketing organizations are implementing or expanding AI and machine learning in 2018. 75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%. 3 in 4 ...
Machine learning (ML) and artificial intelligence (AI) now permeate nearly every feature on the iPhone, but Apple hasn’t been touting these technologies like some of its competitors have. I wanted to ...
Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented their ...
James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. After years of near-silence, Apple is slowly starting to make a bit of noise about its work on ...
The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...