Join Doug Rose for an in-depth discussion in this video The Internet of Things, part of Artificial Intelligence Foundations: Thinking Machines.
- Recently it's become a lot less expensive…to add connectivity to everyday things.…Nowadays there are thermostats and smart watches…that connect with each other and the world.…There are also cheap sensors that check room temperature,…their location,…and some can even upload your medical data.…This new way of connecting is commonly…called the Internet of Things,…sometimes you'll see it as IoT for short.…These IoT devices can be a massive new source of data.…
They'll give AI assistants a new way…to interact with you.…Some of the classic examples are embedding small devices…in food packaging…so your system can tell you when you're nearly out.…Maybe your smart watch will tell your thermostat…when you're on your way home.…IoT also allows these devices…to communicate with each other.…You could unlock your doors as you approach…or have your computer turn on when you sit down.…All of your different things could be buzzing around you…like mosquitoes on a humid day.…
This flurry of activity will create even more data…for machines to process.…
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
- The history of AI
- Machine learning
- Technical approaches to AI
- AI in robotics
- Integrating AI with big data
- Avoiding pitfalls