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An idea that could revolutionise modern medicine
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An idea that could revolutionise modern medicine
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Views | Duration | ||
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181. AI and why I built the Connection Machine | 96 | 03:24 | |
182. The complexity of human intelligence | 98 | 05:03 | |
183. Recreating evolution inside a computer | 1 | 78 | 03:38 |
184. Nature – the great engineer | 1 | 88 | 02:44 |
185. Morphogenesis as an adaptive process | 74 | 03:01 | |
186. The two-dimensional landscape of evolution | 73 | 03:51 | |
187. Evolving an intelligence with the use of computers | 68 | 00:59 | |
188. Programming an intelligence for solving complex problems | 65 | 03:36 | |
189. How to create an intelligence | 66 | 05:11 | |
190. My interest in proteomics | 81 | 02:50 |
The evolution one is one I've had a long-term passion for, going back, in some sense, to when I was an undergraduate. But yes, sometimes there are other subjects that I'm interested and if I had an extra lifetime, I would work on. One of them, for example, is in health. I mean, I could easily imagine I could have become a doctor, and what I'm really interested in the human body... everybody's focused on genetics, and I think that's like looking for the key under the lamppost, because genes are so easy to read and write. But the fact is, the difference between a sick person and a healthy person is almost never their genes, unless they were always sick. They pretty much have the same genes that they always had. It's in their body state. So if I take the computer analogy: when a computer is broken, it's almost never the binary of the computer, it's the runtime state of the computer that's broken. And our runtime state is not in our genes. It's in the... mostly in the proteins in our body. It's the things that are written by the genes. So our genes create proteins and those proteins turn genes on and off and they modify other proteins, and... so those are the things that really do things.
And we haven't paid much attention to them, because proteins are much harder to work with than genes. And they're also kind of analogue rather than digital. A gene really is a digital, literally four-letter code, whereas a protein, it matters how much there is of it. And so it's an analogue amount. And so one of the things that I've spent a lot of time doing in the last decade, is developing instruments that measure proteins floating around in the blood to great repeatability and accuracy. And this isn't a new idea, but it's an idea that's mostly been done by biologists, and biologists aren't really engineers, and so they tended to try to do these measurements in a laboratory by conventional techniques. And they... there are so many steps in the process that they tended to get very inconsistent results. So this field of proteomics got kind of a bad name, because people couldn't reproduce the results and the results had lots of noise in them and so on.
W Daniel Hillis (b. 1956) is an American inventor, scientist, author and engineer. While doing his doctoral work at MIT under artificial intelligence pioneer, Marvin Minsky, he invented the concept of parallel computers, that is now the basis for most supercomputers. He also co-founded the famous parallel computing company, Thinking Machines, in 1983 which marked a new era in computing. In 1996, Hillis left MIT for California, where he spent time leading Disney’s Imagineers. He developed new technologies and business strategies for Disney's theme parks, television, motion pictures, Internet and consumer product businesses. More recently, Hillis co-founded an engineering and design company, Applied Minds, and several start-ups, among them Applied Proteomics in San Diego, MetaWeb Technologies (acquired by Google) in San Francisco, and his current passion, Applied Invention in Cambridge, MA, which 'partners with clients to create innovative products and services'. He holds over 100 US patents, covering parallel computers, disk arrays, forgery prevention methods, and various electronic and mechanical devices (including a 10,000-year mechanical clock), and has recently moved into working on problems in medicine. In recognition of his work Hillis has won many awards, including the Dan David Prize.
Title: My interest in proteomics
Listeners: Christopher Sykes George Dyson
Christopher Sykes is an independent documentary producer who has made a number of films about science and scientists for BBC TV, Channel Four, and PBS.
Tags: genes, genetics, human body, proteins, proteomics, biology
Duration: 2 minutes, 50 seconds
Date story recorded: October 2016
Date story went live: 05 July 2017