Horrorscope

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By CNA. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

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.

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