AI And Machine Learning
topic on 7 shows · 10 statements across 10 episodes
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10 statements about AI And Machine Learning, every show
Battaglia: Early ML in weather improved downstream calibration, not base models
“So actually, the first advent of like, AI and machine learning in weather forecasting, or at least some of the earliest, was not, like, trying to overhaul the whole weather forecast process itself, but making, you know, using more and more, like, statistical m…”
Sacca: AI has turned nuclear fusion progress into a vertical curve
“AI and machine learning had so greatly accelerated progress in fusion that it was geometric now. It was a vertical curve. Because experiments used to take one to two years to run one experiment in a fusion reactor. Now they could run in high fidelity in the co…”
Deeter: AI Productivity Will Come From Human-Machine Pairing, Not Displacement
“You hear a lot about this idea of worker displacement around automation. Ah, we see the other side of this, though. The AI and machine learning and, ah, productivity gains that are coming in particular from this human and machine pairing. In areas where you've…”
Birdzell: Industrial AI adoption requires peer-to-peer delivery with subject experts
“The more AI and machine learning are rolled out in the industrial sector. So this is using these enabling technologies to affect relatively few, very high cost or high consequence decisions requires kind of delivering, enabling the capabilities on a peer to pe…”
Butte: The surge in AI talent will cause inevitable startup collisions
“Learn what others are doing, not to kind of steer around, but just be aware, like, what is the pace you're going to have to keep up with, what are the milestones you're going to have to get to, because it is getting, especially in the computer and AI and machi…”
Oppenheimer: AI and machine learning are the killer apps for serverless
“I actually think that AI and machine learning are the killer apps for serverless microservices.”
Chinese AI innovation will surge rapidly due to state and corporate support
“And then I think very soon we're going to see that, you know, the AI and machine learning and deep learning talent in China is very, very strong because the government and, you know, the large technology giants are so committed to it that very soon we're going…”
Competitive advantage in AI comes from proprietary data, not algorithms
“Our belief is that AI and machine learning, you will not win this war by having the better algorithm. The differentiator, the value proposition, is not in the algorithm. It's actually in the data.”