Top Tweets for #MapOfScience
If you’ve ever wondered what it looks like to make #AI safer, our latest data brief is for you. @hlntnr and Ashwin Acharya introduce 8 research clusters in our #MapOfScience that focus on AI safety topics. They explore trends, foundational papers and more. https://t.co/qDmAbnim49
CSET’s Sara Abdulla rounds out our latest #MapOfScience Data Snapshot series with an analysis of more than 400 research clusters with high concentrations of AI-related, #robotics publications. For more details, see: https://t.co/BQm0rGDrqr
With applications ranging from text generation to sentiment analysis, natural language processing tech holds implications for misinformation and myriad other fields. CSET’s Sara Abdulla surveys the landscape of #NLP research clusters in #MapOfScience. https://t.co/HFmphopJve
The latest #DataSnapshot of @aut_toney’s #MapOfScience investigates how AI-related CV research is developed and applied across RCs. Check out the Data Snapshot below ⤵️ https://t.co/9nMGbs97Zu
Computer vision tech has applications that can be applied in a wide-range of domains, from autonomous vehicles to medical imaging. @aut_toney’s latest #DataSnapshot explores the distribution of CV-related research clusters across CSET’s #MapOfScience.
https://t.co/9nMGbs97Zu
Are AI-related research clusters focused more on computer vision, natural language processing, robotics or broader ML? @aut_toney’s latest data snapshot breaks down the distribution in CSET’s #MapOfScience. https://t.co/Fbz1V64bBt
We've got some exciting news: our new #MapofScience is out! The paper detailing the new map and indicators for portfolio analysis got published in @nature today.
Congrats to all our authors: @KevinBoyack, Caleb Smith and Richard Klavans!
Read it here:
https://t.co/nPEqtMORHV
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