Our jobs are changing, and so are our cities. We have data coming out of our ears to make cities efficient and more sustainable. But are we at risk of losing the humanness in the urban jungle?
Robots and artificial intelligence are moving from the factory floor into the car, the home and our workplace. If we are interacting with this technology more, how do we regulate it? Who is to blame when something goes wrong?
There's no doubt that artificial intelligence is going to be smarter than humans - they're already driving cars and sorting files for us. So if no job is safe from AI, how do we make money? Will capitalism as we know it still exist?
How easy is it to hack into an insulin pump or pacemaker? Should we be worried?
In a collaboration with Think: Health, this week we're taking a look at a few examples of non-invasive medical tech - tracking blood sugar without blood, exoskeletons for rehab, and using vibrations to help the blind see.
Earlier this year Google managed to do something many thought impossible - they built an artificial intelligence that beat a human at the board game GO. Almost twenty years ago IBM did something similar, beating the world chess champion with their computer, Deep Blue.
Understanding how these computers play games, as well as the myriad computer games we all know and love, reveals a lot about the evolution of artificial intelligence.
Theatre is one of our oldest art forms. Technology, of course, has changed a lot of things. Microphones, paradoxically, allow us more quiet moments. Printing and mass production have spread works far and wide. But here's something even newer.
Meet Stalker theatre, a Sydney-based theatre group that is experimenting at the intersection of code and live performance.
Nomatter how exciting it may be, when new technology is developed, it's often really hard to use. The first few years of mainframes, smartphones and artificial intelligence all started this way.
But gradually, the rest of us want in. And designers start trying to figure out how to make it accessible for almost anyone. This is how users get into design.
UTS Professor Michael Blumenstein is someone we've had on the show a bit, helping us explain big data, new data, weird data and much else. On this week's show we dedicate the entire half hour to a chat with Prof Blumenstein, to get a more in depth look at the current state of data science and what will happen as chips get imbedded in more and more things.
Analytics and "Big Data" are becoming ever more prevalent, as new technology brings down costs and statistics is brought to bear in new and interesting ways. But technology isn't just making it easier to crunch the numbers, it's also allowing us to capture data on things we never could before.