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İçerik CNA tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan CNA veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Manage episode 302535653 series 1932286
İçerik CNA tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan CNA veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Andy and Dave discuss the latest in AI news and research, including:

0:57: The Allen Institute for AI and others come together to create a publicly available “COVID-19 Challenges and Directions” search engine, building off of the corpus of COVID-related research.

5:06: Researchers with the University of Warwick perform a systematic review of test accuracy for the use of AI in image analysis of breast cancer screening and find most (34 or 36) AI systems were less accurate than a single radiologist, and all were less accurate than a consensus of two or more radiologists (among other concerning findings).

10:19: A US judge rejects an appeal for the AI system DABUS to own a patent, noting that US federal law requires an “individual” to be an owner, and the legal definition of an “individual” is a natural person.

17:01: The US Patent and Trademark Office uses machine learning to analyze the history of AI in patents.

19:42: BCS publishes Priorities for the National AI Strategy, as the UK seeks to set global AI standards.

20:42: In research, MIT, Northeastern, and U Penn explore the challenges of discerning emotion from a person’s facial movements (which largely relates to context), and highlight the reasons why facial recognition algorithms will struggle with this task.

28:02: GoogleAI uses diffusion models to generate high fidelity images; the approach slowly adds noise to corrupt the training data, and then using a neural network to reverse that corruption.

35:07: Springer-Verlag makes AI for a Better Future, by Bernd Carsten Stahl, available for open access.

36:19: Thomas Smith, co-founder of Gado Images, chats with GPT-3 about the COVID-19 pandemic and finds that it provides some interesting responses to his questions.

Follow the link below to visit our website and explore the links mentioned in the episode.

https://www.cna.org/CAAI/audio-video
  continue reading

116 bölüm

Artwork
iconPaylaş
 
Manage episode 302535653 series 1932286
İçerik CNA tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan CNA veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Andy and Dave discuss the latest in AI news and research, including:

0:57: The Allen Institute for AI and others come together to create a publicly available “COVID-19 Challenges and Directions” search engine, building off of the corpus of COVID-related research.

5:06: Researchers with the University of Warwick perform a systematic review of test accuracy for the use of AI in image analysis of breast cancer screening and find most (34 or 36) AI systems were less accurate than a single radiologist, and all were less accurate than a consensus of two or more radiologists (among other concerning findings).

10:19: A US judge rejects an appeal for the AI system DABUS to own a patent, noting that US federal law requires an “individual” to be an owner, and the legal definition of an “individual” is a natural person.

17:01: The US Patent and Trademark Office uses machine learning to analyze the history of AI in patents.

19:42: BCS publishes Priorities for the National AI Strategy, as the UK seeks to set global AI standards.

20:42: In research, MIT, Northeastern, and U Penn explore the challenges of discerning emotion from a person’s facial movements (which largely relates to context), and highlight the reasons why facial recognition algorithms will struggle with this task.

28:02: GoogleAI uses diffusion models to generate high fidelity images; the approach slowly adds noise to corrupt the training data, and then using a neural network to reverse that corruption.

35:07: Springer-Verlag makes AI for a Better Future, by Bernd Carsten Stahl, available for open access.

36:19: Thomas Smith, co-founder of Gado Images, chats with GPT-3 about the COVID-19 pandemic and finds that it provides some interesting responses to his questions.

Follow the link below to visit our website and explore the links mentioned in the episode.

https://www.cna.org/CAAI/audio-video
  continue reading

116 bölüm

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