Machine learning
Field of studyWikipedia
384
MENTIONS
80
EPISODES
76
PODCASTS
Search complete. 384 mentions across 80 episodes found for "Machine learning".
Oct 27, 2026
Moritz von StoschGUEST
Indeed, I found it very interesting, but I also realized that all the knowledge and all the modeling that we would do in all the other courses was highly underrepresented in bioprocessing.
Moritz von StoschGUEST
So that was one of the points in my career where I thought, okay, can we not do more? Can we not translate more in terms of modeling? And then at the same time, I came across machine learning, which I had not came across during my studies.
Moritz von StoschGUEST
And I was highly interested in machine learning.
Moritz von StoschGUEST
It's another application of mathematical modeling.
Moritz von StoschGUEST
And so my ambition really was that I wanted to use this in either thesis or something I would be doing in the future.
Moritz von StoschGUEST
And I remember very well that I reached out to Professor Marquardt, who was also a professor at Aachen University back at the time, and told him, look, I really want to go into the direction of machine learning.
Moritz von StoschGUEST
And he told me, look, you have studied chemical engineering now for almost five years.
Moritz von StoschGUEST
You don't want to throw all that knowledge away.
Anai KothariGUEST
So I felt like I really had made a big contribution to the world, figured out pretty quickly that, there may be other ways to help.
Anai KothariGUEST
So he actually was getting his master's in predictive analytics and machine learning at a university in Chicago.
Anai KothariGUEST
So I similarly got interested in pursuing that master's.
Anai KothariGUEST
So I actually had some formal training during those two years.
Anai KothariGUEST
And really, my research and experiences outside of the clinical piece have been centered around, at the time, I felt very hesitant to call it AI, honestly, because it was really machine learning, predictive analytics.
Anai KothariGUEST
But with the advances that we've seen, past couple of years have been more willing to say, okay, we're focused on artificial intelligence.
Anai KothariGUEST
Let's think about how to make improvements to the healthcare system, both from a development standpoint as well as an implementation standpoint.
Chadi NabhanHOST
For those who are listening, help us understand the difference between, it seems like you're saying there's a difference between machine learning and AI.
Gary FowlerHOST
Developing new medicine traditionally takes years, costs billions, and comes with enormous uncertainty.
Gary FowlerHOST
But what happens when we combine AI, machine learning, and living biological systems? Could we discover treatments faster, reduce development costs, and potentially transform how we approach aging and neuro-generative diseases? My guest today is Dr.
Gary FowlerHOST
Fozia Saleem, CEO of Magnitude Biosciences.
Gary FowlerHOST
She brings more than 20 years worth of experience across pharmaceuticals, biotech, and commercial leadership, including roles at GSK, BAT, and Broughton.
Gary FowlerHOST
At Magnitude Biosciences, she's helping advance the application of machine learning and whole organism biology to accelerate drug discovery and improve our understanding of longevity and neurodegeneration.
Gary FowlerHOST
She's also a passionate advocate for women in science and entrepreneurship.
Gary FowlerHOST
So with that, I'd like to bring Dr. Salim to the show.
13 MINS LATER
Gary FowlerHOST
It's for the new iPod Nano.
Aaron DavidsonGUEST
I do worry about can AI actually solve that? Now, that said, can AI assess risks in different ways from other factors than potentially what an actuary would? Yeah, I do think so.
Aaron DavidsonGUEST
This is actually an interesting case because some of these things around black box machine learning models, predictive analytics, is actually not new.
Aaron DavidsonGUEST
It's actually been around for probably 15 years, was really when people started to think about what were called AIML, artificial intelligence machine learning models.
Aaron DavidsonGUEST
And we're taking a bunch of other factors.
Aaron DavidsonGUEST
So like for the HOA1, for example, it might take into account, I don't know, I'll make it up.
Aaron DavidsonGUEST
You don't need to fund it to the same level because you actually have a better predictive power from those models.
Aaron DavidsonGUEST
That said, I'm kind of a classical stats guy, and I do struggle with some of those because if I can't explain the model, I don't like the model.
Aaron DavidsonGUEST
And so for me, I've not necessarily been a huge believer in black box AIML modeling.
Zvi MowshowitzHOST
It was trained on the usual variety of data sources using typical method types.
Zvi MowshowitzHOST
Training was done on TPUs via JAX and ML pathways.
Zvi MowshowitzHOST
It will be available on the app, in the API, in AI Studio, in Anti-Gravity, in AI Mode, and in Gemini for Business.
Zvi MowshowitzHOST
They present strong benchmarks.
speaker_3SOUNDBITE_SPEAKER
the CBRN Uplift Level 1, CCL, for biological information risks, indicating a potential of informational uplift with severe harm potential, and the Stealth and Situational Awareness Tracked Capability Level, TCL, indicating the potential for undermining or evading human oversight without additional mitigations.
speaker_3SOUNDBITE_SPEAKER
Additionally, we have developed a comprehensive agent monitoring and response platform and carried out a holistic risk assessment .
speaker_3SOUNDBITE_SPEAKER
We also include comprehensive assessments of chain of thought , transparency, and MLR&D risks.
Zvi MowshowitzHOST
Mundane risks look better across the board.
Type 3 AudioNARRATOR
It was trained on the usual variety of data sources using typical method types.
Type 3 AudioNARRATOR
Training was done on TPUs via JAX and ML pathways.
Type 3 AudioNARRATOR
It will be available on the app, in the API, in AI Studio, in Antigravity, in AI Mode and in Gemini for Business.
Type 3 AudioNARRATOR
they present strong benchmarks.
Type 3 AudioNARRATOR
And the Stealth and Situational Awareness Tracked Capability Level, TCL, indicating the potential for undermining or evading human oversight without additional mitigations.
Type 3 AudioNARRATOR
Additionally, we have developed a comprehensive agent monitoring and response platform and carried out a holistic risk assessment .
Type 3 AudioNARRATOR
We also include comprehensive assessments of chain of thought, COT, transparency and MLR&D risks.
Type 3 AudioNARRATOR
End quote.
Konstantinos KaragiannisGUEST
So we'll start with the basics, right? So discovery, that's a search and classification problem.
Konstantinos KaragiannisGUEST
ML works perfectly there.
Konstantinos KaragiannisGUEST
I mean, no one's going to deny that.
Konstantinos KaragiannisGUEST
So scanning binaries, configs, network telemetry, whatever for primitives and introducing a C-bomb, chef's kiss, perfect.
Mark RzepczynskiGUEST
I have to have a strategy that can be enduring beyond this crowding of alpha and the changing behavior of markets.
Mark RzepczynskiGUEST
Can you use machine learning to capture trends? I think the answer is yes.
Mark RzepczynskiGUEST
But at the same time, the trend following is probably unique and different than the growing focus on machine learning as a way to create alpha.
Niels Kaastrup-LarsenNARRATOR
Welcome to Top Traders Unplugged.
Niels Kaastrup-LarsenNARRATOR
In markets, success doesn't come from predicting what happens next.
1 HR 2 MINS LATER
Mark RzepczynskiGUEST
put at the top of the list.
Mark RzepczynskiGUEST
Do that.
Mark RzepczynskiGUEST
But a piece of research because I think that more and more people are spending time looking at AI and machine learning.
speaker_2VOICE_ACTOR
Everything is ready.
speaker_2VOICE_ACTOR
Pre-training was at 40%, and post-training, according to ORS, was an impressive 67%.
speaker_2VOICE_ACTOR
Please read through the guide that you've created before starting the experiment.
speaker_2VOICE_ACTOR
I
Matt McDonaghHOST
And of course, SSI, super, super intelligence doesn't sound right.
Matt McDonaghHOST
Now, the question is, have we already gotten past the AGI realm? And so I gave a definition last time of AGI, and I found a great video, only a minute and a half, from Demis Hassabis from DeepMind, who got bought out by Google, one of the best minds in ML and AI.
Matt McDonaghHOST
And he's got a great definition of AGI, and he also ends this clip with a few explanations of kind of like where he sees the shortfalls are.
Matt McDonaghHOST
And I will say that this video is maybe six months old, maybe eight months old.
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