Player FM uygulamasıyla çevrimdışı Player FM !
Synthetic data and the next generation of AI creativity
Manage episode 414474991 series 2793080
Today we’re discussing synthetic data - that is, data trained by AI and computer simulations, rather than gathered from the real world.
Now, generating theoretical data is nothing new - we’ve been taking small samples of things and extrapolating from it for decades. However, with the advent of AI we don’t necessarily just need to extrapolate. We can generate completely new, close-to-real data using AI.
But why? And why does it matter? To explain we’re joined by Chief Technology Officer for AI at Hewlett Packard Enterprise, Matt Armstrong-Barnes
This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.
Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA
About the expert: https://uk.linkedin.com/in/mattarmstrongbarnes
Sources and statistics cited in this episode:
Mendelev’s predicted elements: https://web.archive.org/web/20081217080509/http://www.scs.uiuc.edu/~mainzv/HIST/awards/OPA%20Papers/2005-Kaji.pdf
Rubin’s proposal and method for synthetic data: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/discussion-statistical-disclosure-limitation2.pdf
NASA directed to create Lunar time: https://www.reuters.com/science/white-house-directs-nasa-create-time-standard-moon-2024-04-02/
58 bölüm
Manage episode 414474991 series 2793080
Today we’re discussing synthetic data - that is, data trained by AI and computer simulations, rather than gathered from the real world.
Now, generating theoretical data is nothing new - we’ve been taking small samples of things and extrapolating from it for decades. However, with the advent of AI we don’t necessarily just need to extrapolate. We can generate completely new, close-to-real data using AI.
But why? And why does it matter? To explain we’re joined by Chief Technology Officer for AI at Hewlett Packard Enterprise, Matt Armstrong-Barnes
This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.
Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA
About the expert: https://uk.linkedin.com/in/mattarmstrongbarnes
Sources and statistics cited in this episode:
Mendelev’s predicted elements: https://web.archive.org/web/20081217080509/http://www.scs.uiuc.edu/~mainzv/HIST/awards/OPA%20Papers/2005-Kaji.pdf
Rubin’s proposal and method for synthetic data: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/discussion-statistical-disclosure-limitation2.pdf
NASA directed to create Lunar time: https://www.reuters.com/science/white-house-directs-nasa-create-time-standard-moon-2024-04-02/
58 bölüm
Tüm bölümler
×Player FM'e Hoş Geldiniz!
Player FM şu anda sizin için internetteki yüksek kalitedeki podcast'leri arıyor. En iyi podcast uygulaması ve Android, iPhone ve internet üzerinde çalışıyor. Aboneliklerinizi cihazlar arasında eş zamanlamak için üye olun.