I had the honour in early December to participate in an Interzone/Politik Video production with AI leaders: Danny Lange, Chief Data Scientist (CDS), Unity 3D, former CDS of Amazon, and Uber, Beena Ammanath, Executive Director of Deloitte's AI Institute Artificial Intelligence, hosted by John Koetsier where we explored a number of questions about how AI is leading to the fundamental reengineering of all aspects of our human experience, how we as a species interact with AI, and the implications of advancing our world without serious reflection on the type of world we want to build for future civilizations. The conversation we had allowed us to share our views, experiences, concerns and hopes for the New Year for a global society to think more deeply about the future world we want to create - together where AI is used for more good than harm. We have come together to fight Covid-19 and AI was a key enabler to bring to market vaccines, in unprecedented clinical trial R&D timeframes, to eradicate this virus, and help us get back to a more interactive global community where we can freely travel, visit our favourite restaurants and shop with more access in our local retailer stores. This is an excellent example of AI being used for good. However, much of AI in large global data sets are full of inequalities, incumbencies and biases of the innovators designing AI which have a direct impact on how the technology guides human information, perception and action.

Excited to speak at the RE•WORK AI Summit in SF on June 20. My talk is on #DeepLearning and the Gaming Industry. How video games drive advancements in #AI #research and how these advancements are used in #games using Unity Technologies #mlagents cc Nikita Johnson https://lnkd.in/g5RVq82

If you've ever gotten product recommendations on Amazon, you've seen Danny Lange's handiwork. The same goes for Uber's AI that books you a ride. The Danish computer scientist helped build the machine learning platforms that both companies use throughout their operations, from the engineering to the marketing departments. Lange has just done the same at video game platform maker Unity, with the goal of evolving robo characters into more complex and nuanced playing companions than a human could program. Lange doesn't shy away from the oft-hyped term "artificial intelligence"-- provided the machines really do learn how to respond to users' needs.

Microsoft and 2021.AI would like to welcome you to participate in our first joint event, the Applied AI Event. Artificial Intelligence (AI) is an increasingly important part of every organization and we want to show you how it can be applied and used in the real world. We have gathered some top speakers who are at the forefront of AI, along with startups who are changing the game. This includes Danny Lange, VP of AI and Machine Learning at Unity, formerly Head of Machine Learning at Uber, Amazon, and Microsoft, Mikkel Barth-Højgaard, Head of Digital and Analytics at Novozymes, and Davide Roverso of Norwegian startup eSmart. Come join us and get some inspiration from being among technology and AI leaders.

With more than 40% market share in mobile games, billion monthly active users and 2.6 billion unique devices, Unity plays a profoundly important role in the booming gaming and VR markets. Introducing machine learning and AI into game development will curb one of the greatest expenses in time and money that go into content creation, but will also change the role of programmers. With immense access to data and computing power, developers will use historical data to model extensive virtual realities of games, taking programming out of the equation. I spoke with Dr. Danny Lange, VP of AI and machine learning at Unity about this, the present and future of game development, machine learning, and how developers and startups can get most out of it. Dr. Danny Lange is VP of AI and machine learning at Unity Technologies.

What You'll Learn / What to Expect form this talk: - Uber's self driving car program - Examples of machine learning solving tough problems at top companies - A brief history of artificial intelligence - Where machine learning and artificial intelligence is headed - The Feedback Loop: Dogfights and Bandits - Multi-armed Bandit - The Key Tenets of Machine Learning at Uber - Machine Learning as a service at Uber - Resources for implementing machine learning as a service About Danny Lange: Danny Lange is the Head of Machine Learning at Uber. He runs the machine learning platform team - providing machine learning as a service offered across Uber. Previously, Danny ran the machine learning platform team at Amazon. He lead the launch of machine learning as a public service on AWS. Before Amazon, Danny ran the machine learning tools team at Microsoft and did the first push of ML tools into the Azure cloud as a service.

Want to watch this again later? Need to report the video? This feature is not available right now. Keynote - Bring ML to every corner of your Organization, Danny Lange, Head of Machine Learning, Uber at Applied AI Conference 2016 by BootstrapLabs Danny Lange recaps the history of Artificial Intelligence and Machine Learning, as well as explains the roles it currently plays in companies everywhere. Dr. Lange demonstrates the application of Machine Learning models in Uber and how it affects service.

Nowadays Artificial Intelligence (AI) seems to be on everyone's lips. This was emphasised once again at the most recent TechCrunch Disrupt event, held in San Francisco in mid-September, where the topic was raised in almost every discussion. Machine learning is a particularly fertile area of Artificial Intelligence. Danny Lange, Head of Machine Learning at Uber, believes that the best way of describing the concept – which everyone is talking about without actually knowing exactly what it involves – is to regard it as a paradigm shift. "We're moving from a Newtonian, deterministic way of writing software, where the all-knowing programmer writes a complete model of your world, and we're seeing this major shift to more of a Heisenberg world, where it's about uncertainty and probabilities. Basically we're now using experience, using data, to have learning algorithms build and use these models and get results that are really predictions with probabilities, rather than having finite deterministic programmes. And as the world changes the data changes and we rebuild the models. This allows us to continuously have a software system that is more in line with the real world," he explained to the TechCrunch Disrupt audience.

Keynote - Bring ML to every corner of your Organization, Danny Lange, Head of Machine Learning, Uber at Applied AI Conference 2016 by BootstrapLabs Danny Lange recaps the history of Artificial Intelligence and Machine Learning, as well as explains the roles it currently plays in companies everywhere. Dr. Lange demonstrates the application of Machine Learning models in Uber and how it affects service. Despite the perception of the app, Uber has loads of AI under the hood.