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There are now a wide variety of chatbots. You can now order a pizza with a bot. You can plan a weekend getaway with a bot. You can even play Pokémon GO, without playing Pokémon GO, with a bot. The world's big tech companies all agree that conversational interfaces are the next big thing.

One of the big trends we've seen over the last five years is automation. At the same time, we're also seeing more intelligence built into tools we already have, like phones and computers. Where do you see this process in five years? In the future, I believe that there will be a co-existence between humans and artificial intelligence systems that will be hopefully of service to humanity. These AI systems will involve software systems that handle the digital world, and also systems that move around in physical space, like drones, and robots, and autonomous cars, and also systems that process the physical space, like the Internet of Things. You will have more intelligent systems in the physical world, too -- not just on your cell phone or computer, but physically present around us, processing and sensing information about the physical world and helping us with decisions that include knowing a lot about features of the physical world.

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 and promise all sorts from smarter home appliances to robots taking our jobs. But while AI and machine learning are very much related, they are not quite the same thing. You can now play a Pictionary-style game called Quick Draw against Google's AI You can now play a Pictionary-style game called Quick Draw against Google's AI You can now play a Pictionary-style game called Quick Draw against Google's AI You can now play a Pictionary-style game called Quick Draw against Google's AI You can now play a Pictionary-style game called Quick Draw against Google's AI AI is a branch of computer science attempting to build machines capable of intelligent behaviour, while Stanford University defines machine learning as "the science of getting computers to act without being explicitly programmed". You need AI researchers to build the smart machines, but you need machine learning experts to make them truly intelligent.

Microsoft's President and Chief Legal Officer Brad Smith was in town yesterday to share advice for how to boost the entrepreneurial scene and tech industry in Milwaukee and beyond. The Appleton native and Columbia University Law School graduate was here to speak "On the Issues" with Mike Gousha at Marquette University Law School, but his day actually got started before that. In the morning Smith met with the local startup scene. Then came the 12:15 forum when he was interviewed by Gousha. Smith later led a lecture at MU with attorneys as the primary audience on intellectual property law and policy.

In a few seconds, I want you to stop reading this article, and follow the instructions below. Machine learning and artificial intelligence (ML and AI) have seized Tech mindshare in a way few topics have in recent memory. A couple months ago I noticed people talking about artificial intelligence everywhere I looked. According to AI experts, everything from our jobs, to the wars we wage, to the food we eat, to the beer we drink, to the software we write will be affected. Not being one to enjoy surprises, I decided to spend my free time learning as much about the space (and what the future holds) as possible.

The sizeable majority of experts surveyed for this report envision major advances in robotics and artificial intelligence in the coming decade. To what degree will AI and robotics be parts of the ordinary landscape of the general population by 2025? Describe which parts of life will change the most as these tools advance and which parts of life will remain relatively unchanged. These are the themes that emerged from their answers to this question. AI and robotics will be integrated into nearly every aspect of most people's daily lives Many respondents see advances in AI and robotics pervading nearly every aspect of daily life by the year 2025--from distant manufacturing processes to the most mundane household activities. Jeff Jarvis, director of the Tow-Knight Center for Entrepreneurial Journalism at the City University of New York, wrote, "Think'Intel Inside'. By 2025, artificial intelligence will be built into the algorithmic architecture of countless functions of business and communication, increasing relevance, reducing noise, increasing efficiency, and reducing risk across everything from finding information to making transactions. If robot cars are not yet driving on their own, robotic and intelligent functions will be taking over more of the work of manufacturing and moving." Vint Cerf, vice president and chief Internet evangelist for Google, responded, "Self-driving cars seem very likely by 2025. Natural language processing will lead to conversational interactions with computer-based systems. Google search is likely to become a dialog rather than a client-server interaction. The Internet of Things will be well under way by this time and interaction with and among a wide range of appliances is predictable. Third party services to manage many of these devices will also be common."

Let me hear your body talk. A new electronic tattoo picks up on subtle noises inside the human body, including the sound of your heart, muscles and gastrointestinal tract. The skin patch could be used in medical monitoring, to detect irregular heartbeats, for example. It could also act as a human-machine interface to use your voice to control a video games. "Our body generates a lot of different sounds," says Howard Liu at the University of Illinois at Urbana-Champaign.

HAAS Alert is partnering with the city of Chicago to explore integrating HAAS' data with the city's traffic management system in order to, for example, adjust traffic signals in real time. Hohs said the company is also partnering with agencies in Palo Alto, Detroit and Grand Rapids, Mich., and is in talks with the Los Angeles Fire Department. Hohs said that although he is proud of the public safety benefit of HAAS Alert, he is mainly targeting navigation apps and car manufacturers for revenue development. He said he hopes to get his product onto consumers' mobile phones and, eventually, into self-driving cars that will automatically redirect based on the information provided by the app. "We want to get into services that users use every day," he said.

For the first time, a "one stop shop" of the machine intelligence stack is coming into view--even if it's a year or two off from being neatly formalized. The maturing of that stack might explain why more established companies are more focused on building legitimate machine intelligence capabilities. Anyone who has their wits about them is still going to be making initial build-and-buy decisions, so we figured an early attempt at laying out these technologies is better than no attempt. If this year's landscape shows anything, it's that the impact of machine intelligence is already here. Almost every industry is already being affected, from agriculture to transportation.