Machine Learning: Living in the Age of AI

Gerry is a seventy year old man that has more advanced (smart) devices than I have, a twenty one year old girl (in January 25 2020) (00:16, 00:28-00:53)
- Which shows regardless of age that this defies the stereotype of the recent generation of people being more informed on technological devices than their parents
The general attitude about artificial intelligence (A.I.) is one of “total optimism” and “dystopic doom” (5:06 – 5:15)
A.I. is: machine learning, data, algorithms, sensors (5:26-5:29) based on connections making connections (11:55)
- The more data you have to train your systems the better your systems will learn (7:56 – 8:01)
  - For example, model racing cars having cars learn by taking pictures through its camera and it will predict they will turn at X angle and go at a certain speed (11:08 – 11:32)
  - For example, on the use of data in self-driving cars ( 36:06 – 36:24 )
- For example, iPhones having the ability to find specific skin cancers (with the assumption that there is a specific app for that goal) (14:59 -15:41)
- Computationally heavy in two ways:
  - Training the system to learn
  - Applying the learn
- The impact A.I. will have on people’s jobs (22:37-22:48), (23:27)
- Altering reality (28:04), (40:33 – 40:50)
  - Benefits (30:48-30:54), (32:53-32:35), (37:34-38:12)
  - Disadvantages (30:53-31:05)
Competition is good for advancement, in A.I.’s case (10:13)

Machine Learning: Living in the Age of AI | A WIRED Film