We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners 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 ...

Here are 8 BPO players that are going heavy on machine learning: Genpact, founded in 1997, uses machine learning in finance, supply chain tasks, and customer-cycle management for large enterprises.

If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google is ...