The Greatest Podcast Ever Recorded

the-greatest-podcast-ever-recorded

Is this the greatest podcast at any time recorded? Let us just say you never have to have a GPU to know which is a stretch. But it’s really great if you’re a lover of tall tales.

And superior even now if you’re not a enthusiast of stretching the real truth at all.

That’s simply because detecting hyperbole may well 1 day get far more manageable, thanks to researchers at the College of Copenhagen doing the job in the escalating industry of exaggeration detection.

Dustin Wright and Isabelle Augenstein have used NVIDIA GPUs to coach an “exaggeration detection system” to recognize overenthusiastic statements in well being science reporting.

Their get the job done arrives as the pandemic has fueled desire for comprehensible, exact information and facts. And social media has produced wellbeing misinformation extra popular.

Their paper leverages “few-shot mastering,” a system that allows developers wring more intelligence out of much less data, and a new model of a approach identified as sample exploiting teaching.

Exploration like Wright and Augenstein’s could a single day velocity much more exact health and fitness sciences information to a lot more persons.

AI Podcast host Noah Kravitz — whose fishing tales we will never ever belief yet again just after this episode — spoke with Wright about the function.

Important Points From This Episode

  • Close to 33% of push releases about scientific papers have a tendency to exaggerate the findings in the papers, which potential customers to news content exaggerating the conclusions of these papers.
  • Wright’s exaggeration detection job aims to provide persons like journalists with accurate details to make certain that they report accurately on science.
  • The task, accelerated working with a NVIDIA Titan X GPU, uses a novel, multitask-capable model of a approach referred to as Pattern Exploiting Education, which they dubbed MT-PET

Tweetables:

“Can we leverage language and associated that discover styles that the language design has picked up on from mass language design pre coaching, and be equipped to do classification with any text?” – Dustin Wright [7:28]

“About 33% of the time, push releases will exaggerate the scientific papers and as a outcome, that indicates about 33% of news articles or blog posts exaggerate the findings in scientists’ papers.” – Dustin Wright [9:50]

“This is progress toward a technique that could assist, for example, journalists, and making sure that they are undertaking exact reporting on science.” – Dustin Wright [16:20]

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