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Kandungan disediakan oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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AI in Weather and Climate with Drs. Amy McGovern and John Williams (Part II)

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Manage episode 372592951 series 3497729
Kandungan disediakan oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Show Notes

Hosts: Jeff Cunningham and Ryan Harris

Guests:

Dr. Amy McGovern, Professor at University of Oklahoma Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography & Senior Technical Staff Member

Dr. John Williams, Head of Weather AI Sciences at The Weather Company, an IBM Business

Description: Is Machine Learning coming for your job? Will AI replace weather forecasters? Unlikely in the near-term postulates our guests this month, Dr. Amy McGovern, who runs the National Science Foundation’s AI for Environmental Sciences (AI2ES) and Dr. John Williams, Head of Weather AI Sciences at The Weather Company, an IBM Business. But it should accelerate decision making and generally make our jobs easier by tipping and cueing forecasters. Amy and John speak of model hallucinations like the inaccuracies we see with ChatGPT, but both experts also marvel at the rapid inflection point we are in the midst of. Learn what AI and Machine Learning do well for weather and climate prediction, where it’s lacking, and the promise of freeing forecasters and practitioners up to focus more on risk communication and individual-tailored predictions to better help society in the future. It’s a fascinating episode you won’t want to miss.

References:

Find the complete show notes HERE.

  continue reading

41 episod

Artwork
iconKongsi
 
Manage episode 372592951 series 3497729
Kandungan disediakan oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Show Notes

Hosts: Jeff Cunningham and Ryan Harris

Guests:

Dr. Amy McGovern, Professor at University of Oklahoma Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography & Senior Technical Staff Member

Dr. John Williams, Head of Weather AI Sciences at The Weather Company, an IBM Business

Description: Is Machine Learning coming for your job? Will AI replace weather forecasters? Unlikely in the near-term postulates our guests this month, Dr. Amy McGovern, who runs the National Science Foundation’s AI for Environmental Sciences (AI2ES) and Dr. John Williams, Head of Weather AI Sciences at The Weather Company, an IBM Business. But it should accelerate decision making and generally make our jobs easier by tipping and cueing forecasters. Amy and John speak of model hallucinations like the inaccuracies we see with ChatGPT, but both experts also marvel at the rapid inflection point we are in the midst of. Learn what AI and Machine Learning do well for weather and climate prediction, where it’s lacking, and the promise of freeing forecasters and practitioners up to focus more on risk communication and individual-tailored predictions to better help society in the future. It’s a fascinating episode you won’t want to miss.

References:

Find the complete show notes HERE.

  continue reading

41 episod

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