• Episode 01 - After the storm

  • 2022/05/05
  • 再生時間: 28 分
  • ポッドキャスト

Episode 01 - After the storm

  • サマリー

  • Weather forecasting is a tough business. There are many variables, and the margin for error is slim. And errors in prediction here can have dire, life-altering consequences. How can artificial intelligence help us gauge the weather better and thereby save lives? Perhaps, an AI model that can predict a flood 15 days before it strikes? Or, a model that uses AI to figure out in advance which properties are potentially at risk in a disaster? 

    Credits

    Narration: Harsha Bhogle
    Executive Producer: Gaurav Vaz
    Producer: Archana Nathan
    Research, Interviews and Scripts: Prthvir Solanki
    Narrative overview: Charu Sharma & Shriram Parthasarathy
    Executive leadership: Rohini Srivathsa & Somanna Palacanda
    Title track, sound design & background score: Nikhil Rao and Abhijit Nath

    All clips and voices used in this podcast are owned by the original creators We thank wholeheartedly all our guests who appeared on this episode 

    Prof. Shafiqul Islam
    Manmeet Singh
    Anshu Sharma 
     

    Sources:

    • The Wire - News report about the FIR filed by farmers in Beed
    • Business Standard - News report about the FIR filed by farmers in Beed
    • Relief Web - Details about the Paradip Cyclone in 1999
    • Hindustan Times - Details about the Paradip Cyclone in 1999
    • New Indian Express - Damage and aftermath of Cyclone Amphan
    • The Hindu - Death toll and aftermath of Cyclone Amphan
    • OpenAI’s work on Dactyl
    • Details on OpenAI’s Rubik’s Cube Solving AI arm
    • History of the Indian Institute of Tropical Meteorology
    • Details on the 2015 heatwave in India
    • Scroll - Viral video of a woman cooking eggs on the floor of her home in Telangana
    • NIE - Viral video of a man cooking eggs on the road in Odisha
    • WMO - Climate Predictions
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あらすじ・解説

Weather forecasting is a tough business. There are many variables, and the margin for error is slim. And errors in prediction here can have dire, life-altering consequences. How can artificial intelligence help us gauge the weather better and thereby save lives? Perhaps, an AI model that can predict a flood 15 days before it strikes? Or, a model that uses AI to figure out in advance which properties are potentially at risk in a disaster? 

Credits

Narration: Harsha Bhogle
Executive Producer: Gaurav Vaz
Producer: Archana Nathan
Research, Interviews and Scripts: Prthvir Solanki
Narrative overview: Charu Sharma & Shriram Parthasarathy
Executive leadership: Rohini Srivathsa & Somanna Palacanda
Title track, sound design & background score: Nikhil Rao and Abhijit Nath

All clips and voices used in this podcast are owned by the original creators We thank wholeheartedly all our guests who appeared on this episode 

Prof. Shafiqul Islam
Manmeet Singh
Anshu Sharma 
 

Sources:

  • The Wire - News report about the FIR filed by farmers in Beed
  • Business Standard - News report about the FIR filed by farmers in Beed
  • Relief Web - Details about the Paradip Cyclone in 1999
  • Hindustan Times - Details about the Paradip Cyclone in 1999
  • New Indian Express - Damage and aftermath of Cyclone Amphan
  • The Hindu - Death toll and aftermath of Cyclone Amphan
  • OpenAI’s work on Dactyl
  • Details on OpenAI’s Rubik’s Cube Solving AI arm
  • History of the Indian Institute of Tropical Meteorology
  • Details on the 2015 heatwave in India
  • Scroll - Viral video of a woman cooking eggs on the floor of her home in Telangana
  • NIE - Viral video of a man cooking eggs on the road in Odisha
  • WMO - Climate Predictions

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