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Podcast: Bedtime rituals, recycling clothes and data bias in AI

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Manage episode 407142011 series 3558146
内容由Imperial College London提供。所有播客内容(包括剧集、图形和播客描述)均由 Imperial College London 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this edition: How getting ready for bed is hard-wired, how clothing dyes can be recycled, and what we can do about data bias in AI.

News: Getting ready for bed – When mice are sleepy, they make a safe nest, and now researchers have discovered the brain wiring that controls this instinct both in mice and likely in ourselves.

Making fashion greener – We talk to the people behind DyeRecycle – an Imperial startup that uses a new chemical process to recover dyes and colours from waste textiles, vastly reducing the water and energy use of the industry. The team recent secured an H&M Foundation Global Change Award.

Data bias in AI – We listen in to the Science Actually podcast as they chat data bias in AI – discussing questions including can we eliminate biases, how much should we blame big tech, and what can we do about the issue?

  continue reading

253集单集

Artwork
icon分享
 
Manage episode 407142011 series 3558146
内容由Imperial College London提供。所有播客内容(包括剧集、图形和播客描述)均由 Imperial College London 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this edition: How getting ready for bed is hard-wired, how clothing dyes can be recycled, and what we can do about data bias in AI.

News: Getting ready for bed – When mice are sleepy, they make a safe nest, and now researchers have discovered the brain wiring that controls this instinct both in mice and likely in ourselves.

Making fashion greener – We talk to the people behind DyeRecycle – an Imperial startup that uses a new chemical process to recover dyes and colours from waste textiles, vastly reducing the water and energy use of the industry. The team recent secured an H&M Foundation Global Change Award.

Data bias in AI – We listen in to the Science Actually podcast as they chat data bias in AI – discussing questions including can we eliminate biases, how much should we blame big tech, and what can we do about the issue?

  continue reading

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