Towards Data Science

Towards Data Science

Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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Episoder(130)

66. Owain Evans - Predicting the future of AI

66. Owain Evans - Predicting the future of AI

Most researchers agree we’ll eventually reach a point where our AI systems begin to exceed human performance at virtually every economically valuable task, including the ability to generalize from wha...

13 Jan 202147min

65. Helen Toner - The strategic and security implications of AI

65. Helen Toner - The strategic and security implications of AI

With every new technology comes the potential for abuse. And while AI is clearly starting to deliver an awful lot of value, it’s also creating new systemic vulnerabilities that governments now have to...

6 Jan 202143min

64. David Krueger - Managing the incentives of AI

64. David Krueger - Managing the incentives of AI

What does a neural network system want to do? That might seem like a straightforward question. You might imagine that the answer is “whatever the loss function says it should do.” But when you dig int...

30 Des 202050min

63. Geordie Rose - Will AGI need to be embodied?

63. Geordie Rose - Will AGI need to be embodied?

The leap from today’s narrow AI to a more general kind of intelligence seems likely to happen at some point in the next century. But no one knows exactly how: at the moment, AGI remains a significant ...

23 Des 20201h 12min

62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation

62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation

The fields of AI bias and AI fairness are still very young. And just like most young technical fields, they’re dominated by theoretical discussions: researchers argue over what words like “privacy” an...

16 Des 202049min

61. Ben Goertzel - The unorthodox path to AGI

61. Ben Goertzel - The unorthodox path to AGI

No one knows for sure what it’s going to take to make artificial general intelligence work. But that doesn’t mean that there aren’t prominent research teams placing big bets on different theories: Dee...

9 Des 20201h 21min

60. Rob Miles - Why should I care about AI safety?

60. Rob Miles - Why should I care about AI safety?

Progress in AI capabilities has consistently surprised just about everyone, including the very developers and engineers who build today’s most advanced AI systems. AI can now match or exceed human per...

2 Des 202045min

59. Matthew Stewart - Tiny ML and the future of on-device AI

59. Matthew Stewart - Tiny ML and the future of on-device AI

When it comes to machine learning, we’re often led to believe that bigger is better. It’s now pretty clear that all else being equal, more data, more compute, and larger models add up to give more per...

25 Nov 202043min

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