Wevolver Robots in Depth - Building Artificial Intelligence systems that can interact with humans w/VP of A.I Christian Guttmann

Building Artificial Intelligence systems that can interact with humans w/VP of A.I Christian Guttmann

01/31/20 • 24 min

Wevolver Robots in Depth

Christian talks about AI and wanting to understand intelligence enough to recreate it.

Christian discusses building systems that can interact with humans beyond regular computer interfaces.

He started working with computers early, too early for advanced AI. He studied broadly, including philosophy, ethics as well as synthetic and biological neural networks.

Christian has found a lot of inspiration in the old papers by Alan Turing and others. He sometimes envies them their opportunity to think big, as they did when they founded the areas of computer science and artificial intelligence.

Christian has be focusing on AI in healthcare and has recently started to communicate the opportunities and challenges in artificial intelligence to the general public. This is something that the host Per Sjöborg is also very passionate about.

We also get to hear about the Nordic AI institute (https://www.nordicaiinstitute.com) and the work it does to inform all parts of society about AI. Anyone interested in AI is welcome to reach out if they have questions or if they have knowledge to share.

Then we hear how Christian is working with Tieto (https://www.tieto.com) on integrating artificial intelligence in their customers daily operations.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at [email protected]

Christian talks about AI and wanting to understand intelligence enough to recreate it.

Christian discusses building systems that can interact with humans beyond regular computer interfaces.

He started working with computers early, too early for advanced AI. He studied broadly, including philosophy, ethics as well as synthetic and biological neural networks.

Then we hear how Christian is working with Tieto (https://www.tieto.com) on integrating artificial intelligence in their customers daily operations.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.

Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at [email protected]

Previous Episode

Real world challenges with Artificial Intelligence w/Associate Professor Federico Pecora

Federico talks about AI and how the computer decides what to do and when to do it.

Federico finds many interesting research problems combining AI and robotics. Being out in the real world challenges the AI algorithms and makes real physical tasks possible.

Federico talks about working on AI and service robotics. In this area he has worked on planning, especially focusing on why a particular goal is the one that the robot should work on. To make robots as useful and user friendly as possible, he works on inferring the goal from the robot’s environment so that the user does not have to tell the robot everything.

Federico has also worked with AI robotics planning in industry to optimize results. Managing the relative importance of tasks is another challenging area there. In this context, he works on automating not only a single robot for its goal, but an entire fleet of robots for
their collective goal. We get to hear about how these techniques are being used in warehouse operations, in mines and in agriculture.

Federico discusses how important the co-operation between roboticists and AI specialists is. It can sometimes be challenging, but when it works it yields very interesting questions and results.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com

Promote your company in our podcast?

If you are interested in sponsoring the podcast, you can contact us at [email protected]

Next Episode

Mimicking human decision making with algorithms w/Adjunct Professor Harri Ketamo

Harri talks about AI and how he aims to mimic human decision making with algorithms.

Harri has done a lot of AI for computer games to create opponents that are entertaining to play against. It is easy to develop a very bad or a very good opponent, but designing an opponent that behaves like a human, is entertaining to play against and that you can beat is quite hard. He talks about how AI in computer games is a very important story telling tool and an important part of making a game entertaining to play.

This work led him into other parts of the AI field. Harri thinks that we sometimes have a problem separating what is real from what is the type of story telling he knows from gaming AI. He calls for critical analysis of AI and says that data has to be used to verify AI decisions and results.

We also hear about the current use of AI in among other things sports games, where the challenge is to make a believable computer copy of a real-world player to make the games feel more real.

We then get to hear about his current work in developing AI systems that create mind-maps from texts to make the computer able to determine the context. By doing this we can derive better sentiment and meaning. This AI system is trained using a large amount of reliable data from scientific papers and CNN.

One application of this that Harri is working on, is in the labor market matching needs for talent with available people. This will help companies find staff and people find job opportunities.

This podcast is part of the Wevolver network. Wevolver is a platform & community providing engineers informative content to help them innovate.
Learn more at Wevolver.com