"We have initial experiments applying machine learning to identify which cuneiform symbols are present in images of a tablet," …

Alphabet is using its dominance in the search and advertising spaces -- and its massive size -- to find its next billion-dollar business. From healthcare to smart cities to banking, here are 10 industries the tech giant is targeting. With growing threats from its big tech peers Microsoft, Apple, and Amazon, Alphabet's drive to disrupt has become more urgent than ever before. The conglomerate is leveraging the power of its first moats -- search and advertising -- and its massive scale to find its next billion-dollar businesses. To protect its current profits and grow more broadly, Alphabet is edging its way into industries adjacent to the ones where it has already found success and entering new spaces entirely to find opportunities for disruption. Evidence of Alphabet's efforts is showing up in several major industries. For example, the company is using artificial intelligence to understand the causes of diseases like diabetes and cancer and how to treat them. Those learnings feed into community health projects that serve the public, and also help Alphabet's effort to build smart cities. Elsewhere, Alphabet is using its scale to build a better virtual assistant and own the consumer electronics software layer. It's also leveraging that scale to build a new kind of Google Pay-operated checking account. In this report, we examine how Alphabet and its subsidiaries are currently working to disrupt 10 major industries -- from electronics to healthcare to transportation to banking -- and what else might be on the horizon. Within the world of consumer electronics, Alphabet has already found dominance with one product: Android. Mobile operating system market share globally is controlled by the Linux-based OS that Google acquired in 2005 to fend off Microsoft and Windows Mobile. Today, however, Alphabet's consumer electronics strategy is being driven by its work in artificial intelligence. Google is building some of its own hardware under the Made by Google line -- including the Pixel smartphone, the Chromebook, and the Google Home -- but the company is doing more important work on hardware-agnostic software products like Google Assistant (which is even available on iOS).

In our ever-advancing technological world, it's easy to get lost in the sea of terminology. Understanding these words and phrases is essential for business coverage since AI is everywhere. This post will explain the difference between four computing terms: artificial intelligence, neural networks, machine learning and deep learning. A note before we start: These definitions are drastically simplified to understand the basics. Perhaps one of the most used and least understood phrases in recent years, artificial intelligence, or AI, is a sort of blanket term.

In the growing debate about AI vs. human intelligence, the given wisdom has been that artificial intelligence will augment human tasks, but not replace …

Reporters Without Borders has found a radical new platform for distributing banned journalism in some of the world's most repressive countries: Minecraft. The advocacy group has opened a new virtual space on a dedicated server for the popular video game called'The Uncensored Library,' accessible to any of Minecraft's 145 million monthly players. Inspired by the neoclassical architecture of ancient Rome and Greece, the library will be filled with books containing the text of news stories that have been censored in their countries of origin. To begin with, the library will be stocked with stories from five countries that rank near the bottom of Reporters Without Borders' World Press Freedom Index, including Egypt, Mexico, Russia, Saudi Arabia, and Vietnam. The stories will be published in English and whichever language they were originally written in.

Artificial intelligence and machine learning allow scientists to interpret what they are seeing and engineer new solutions that "will have implications in …

Most people talk about AI in very broad terms. The reality, however, is the artificial intelligence we have now is very different to the AI we see in the movies, i.e. AI where robots and machines are conscious, can deal with a myriad of situations, and have emotion. Specifically, the AI we have today is known as Narrow AI or Weak AI. The AI we want to get to in the future is General AI, also known as Strong AI.

WEST LAFAYETTE, Ind. – Technology that combines machine learning with artificial intelligence from Purdue University has taken its next giant leap toward powering more Internet of Things and edge computing devices. FWDNXT, a software and hardware startup that spun out of Purdue, was acquired in October by Micron Technology Inc., an industry leader in innovative memory and storage solutions. Micron is integrating FWDNXT's artificial intelligence hardware and software technology with its advanced memory to explore deep learning solutions for data analytics, particularly in IoT and edge computing. "Purdue provided the entrepreneurial resources to help me achieve my vision of taking our work on machine learning and deep learning technology to a much wider audience where we can have a bigger impact," said Eugenio Culurciello, Micron fellow and chief machine learning architect. "Micron has the leadership in memory, long history of innovation and drive to deliver power and performance capabilities that address the most complex and demanding edge applications at scale."