Wevolver Robots in Depth - Mimicking human decision making with algorithms w/Adjunct Professor Harri Ketamo

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

02/05/20 • 33 min

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

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

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.

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

Promote your company in our podcast?

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

Previous Episode

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

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]

Next Episode

Learnings from working + 20 years in robotics as an entrepreneur, teacher, lecturer, and researcher w/Lars Dalgaard

Lars Dalgaard shares his experiences developing robots in many different contexts.

We hear about Lars’ early work with large mobile robotics in a commercial nursery garden handling the transfer of plants from the greenhouse to the field.

He also speaks about the Hydra project a self re-configuring modular robotics project that developed several different modular robotics systems including the Atron system.

Lars felt that there was a problem with the process used to introduce robotics and automation into society. Commercialization was hard and unreliable mostly because there was no focus on designing a complete system. This lead to an industrial PhD done at the Danish Technological Institute (DTI) focusing on a system level design approach.

He then talks about his work at DTI that focuses on transferring research, knowledge and research results from academia into companies and the Danish society in general.

One project Lars has been working on is augmenting mobile platforms so that they can handle tasks as they move around in a production facility. This also aims to make it easier to program the mobile platforms and any systems added to them.

Lars thinks that looking at the bigger picture and bringing multiple partners and end users into projects, and doing so early, can bring big benefits to a project.

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