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17 results for “technology transfer”
Concept5 mentions across episodes
technology
Topic3 mentions across episodes
technology
a huge number of good ideas. And those ideas, by and large, do come out of our university and research infrastructure here in America. The same is also true in other parts of the world, in Europe, China, India, and so forth. But it's really the trans
12:45 / 13:49
from transcript12:45 – 13:49
mean substrate of communicating science of open source of these sort of this proliferation of technologies. A lot of technologies are built on other technologies. And if everybody has to keep it closer to just for that exact reason that, like, your,
23:11 / 24:16
from transcript23:11 – 24:16
it's not exactly at the speed of light in the in the vacuum, but it's very, very close to the speed of light in a vacuum. So that was the third phase when people moved from exclusive use of fiber optic cable to supplementing the fiber optic cable by
35:53 / 37:01
from transcript35:53 – 37:01
company, well funded. They, developed the asset. We're taking it to the clinic. And before they were able to initiate their clinical trials, Chinese biotech with the same identical mechanism feeds them to the clinic and launch trials not only in Chin
22:29 / 23:30
from transcript22:29 – 23:30
...technology right into the systems they need. Now a global workforce of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays of
31:24 / 32:32
from transcript31:24 – 32:32
of very specialized technical experts from the pharma companies, and it created the so called CRO or contract research organization ecosystem. So you now, as a consequence of that, for the past twenty years, have had a very proficient environment ful
20:09 / 21:16
from transcript20:09 – 21:16
...we had tech transfer offices, but I don't know. And I just I feel like there's a pretty big gap there still. And whether that's beneficial for science, I don't know. Because I do think that the open endedness within an academic lab that's allowed the
44:59 / 46:13
from transcript44:59 – 46:13
...technology right into the systems they need. Now a global workforce of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays of
32:49 / 34:09
from transcript32:49 – 34:09
“Why consumer tech now beats military gear in innovation speed”
they think, like, the military has, like, special gear, and it's got its own kind of supply chain. And often, the military supply chain is often just a subset of the consumer supply chain because you
4:14 / 5:04
market insight4:14 – 5:04
...integrate technology right into the systems they need. Now a global workforce of 300,000 can use AI to fill their HR questions, resolving 94% of common questions. Not noise, proof of how we can help companies get smarter by putting AI where it actual
32:12 / 33:19
from transcript32:12 – 33:19
That we we when Honey was saying that we should use the learnings from those those models to actually translate here, That's exactly what we should be doing. We should be thinking about what worked and at least try it in these new domains. This is th
24:01 / 25:06
from transcript24:01 – 25:06
“Why traditional software only automates things that are easy to explain”
The slide is that traditional software is deterministic and does things that are easy to explain to machines. In fact, automation, machine tools, sewing machines, typewriters, adding machines Right. T
18:05 / 18:30
framework18:05 – 18:30
You know, it's really competitive, and, I think folks got really surprised at the, efficiency of the pipelining and the ability to manufacture all these different antibodies, primarily. And I think that's great for the industry. Right? I think everyb
46:33 / 47:37
from transcript46:33 – 47:37
We are in the golden age of biomedical advancement and that will last until tomorrow. And when we'll be in an even better age, scientists advancing incredibly rapidly when we would invest in companies like Illumina and the ecosystem that is helping t
1:16:37 / 1:17:38
from transcript1:16:37 – 1:17:38
...they made doing technology transfer is the category. There must have been some interesting technologies that came out of those labs that wound up in a license that generated massive amounts, and usually they license it out 10% for a royalty or someth
59:12 / 1:00:21
from transcript59:12 – 1:00:21
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