BYLINE: JONATHAN WOODS, Associated PressTechnology companies, particularly those that rely on the internet to connect with customers and sell products, are looking to make the next big leap toward faster and cheaper services for their customers.

The next big innovation could be in computer hardware, but not necessarily the sort of thing that would be marketed on a shelf at Walmart or Target.

Computer companies are increasingly looking to add artificial intelligence to the mix.

Many companies are taking steps to build AI systems to do more with less.

Google recently acquired artificial intelligence startup DeepMind, and Facebook recently acquired DeepMind’s neural network AI unit, which it hopes will enable it to help it better understand users and users’ needs.

And Google is also working on its own machine learning systems to help the company understand what users want in search, the search engine giant said in a recent investor call.

The company’s latest foray into AI comes as the Internet continues to expand and change.

As more and more people rely on computers to connect and interact, they are becoming increasingly dependent on their personal computers.

A majority of U.S. adults own at least one computer, according to a Pew Research Center report in March.

But the average age for a first-time owner of a computer is more than 40, with millennials and other young adults being the most likely to have one.

“We are in a unique position to deliver what we have always offered and that is the ability to provide a great experience to users on the Internet,” said Greg Smith, vice president and general manager at IBM Watson.

The latest iteration of IBM Watson is part of the company’s “Deep Learning Revolution,” a series of initiatives designed to bring the technology behind artificial intelligence (AI) to the cloud.

The IBM Watson Deep Learning System is a computer-to-computer neural network that is able to analyze data and predict the future.

It is based on Watson, a personal computing system developed by IBM.

Watson’s core competency is in solving problem-solving tasks.

IBM Watson has more than 1.5 billion Watson customers and has a market value of more than $600 billion.”IBM is taking on an industry where they have traditionally done the best work with the technology and are in this new phase of this transformation where they are trying to do things differently,” said Kevin Hall, senior vice president at Cloud Computing, a company that runs Watson.

IBM Watson has had significant success in the past decade, particularly in areas like health care, education and transportation, Hall said.

In recent years, IBM Watson was able to perform more than 200,000 self-driving tests, and in 2016 it helped Microsoft Corp. become the first major corporation to offer its own autonomous vehicle software.

Still, it has a long way to go in delivering the next generation of AI.

Although Watson is able at this point to solve problems on a daily basis, it is still very much a work in progress.

For example, it still needs to understand the context of a user interaction, and it still has a lot of room to improve.

IBM is working to create an AI system that can do more, and is working on a machine learning system that will be able to take into account what users need to know to get the best results, Watson CEO Ginni Rometty said in March at the Mobile World Congress conference in Barcelona.

However, Watson is still just getting started.

IBM has not yet announced when it will begin using AI in its services.

In the meantime, the companies are working on some of the technologies that are already being used by the rest of the world.

Microsoft has been working on building its own AI to help users and businesses improve productivity and help them get more done.

Microsoft also has invested heavily in AI to enhance its own offerings, including Azure, its cloud computing platform, and Azure’s Artificial Intelligence Lab.

Microsoft is investing $250 million in AI startup AlphaGo, and another $100 million to help researchers develop artificial intelligence algorithms that can perform better than human players.

And Microsoft is also building its AI lab, which will work with universities to create AI programs for its products.

One of the big trends is that AI is getting more efficient, and some companies are developing AI systems that can actually learn better, said Chris Moberg, executive vice president of cloud computing at Intel.

Intel has invested more than a billion dollars in artificial intelligence technology, Mobergg said, and has invested in a number of companies that are developing technology that could be used to help computers learn better.

Intel is also using AI to improve its cloud platform, Intel Cloud, which is used to run cloud computing applications and data.

At Intel, Watson, DeepMind and DeepMind AI Labs are focused on helping customers to develop and deploy intelligent computing systems