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A tartalmat a Roman Cheplyaka biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Roman Cheplyaka vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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#64 Enformer: predicting gene expression from sequence with Žiga Avsec
Manage episode 306683258 series 1537951
A tartalmat a Roman Cheplyaka biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Roman Cheplyaka vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode, Jacob Schreiber interviews Žiga Avsec about a recently released model, Enformer. Their discussion begins with life differences between academia and industry, specifically about how research is conducted in the two settings. Then, they discuss the Enformer model, how it builds on previous work, and the potential that models like it have for genomics research in the future. Finally, they have a high-level discussion on the state of modern deep learning libraries and which ones they use in their day-to-day developing.
Links:
- Effective gene expression prediction from sequence by integrating long-range interactions (Žiga Avsec, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli & David R. Kelley )
- DeepMind Blog Post (Žiga Avsec)
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 epizódok
Megosztás
Manage episode 306683258 series 1537951
A tartalmat a Roman Cheplyaka biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Roman Cheplyaka vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode, Jacob Schreiber interviews Žiga Avsec about a recently released model, Enformer. Their discussion begins with life differences between academia and industry, specifically about how research is conducted in the two settings. Then, they discuss the Enformer model, how it builds on previous work, and the potential that models like it have for genomics research in the future. Finally, they have a high-level discussion on the state of modern deep learning libraries and which ones they use in their day-to-day developing.
Links:
- Effective gene expression prediction from sequence by integrating long-range interactions (Žiga Avsec, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli & David R. Kelley )
- DeepMind Blog Post (Žiga Avsec)
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 epizódok
Minden epizód
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Hasonló a(z) the bioinformatics chat sorozathoz
We take a critter’s eye view to explore how animal behavior parallels humans. Join comedians and science-lovers as we get inside the minds of animals
…
continue reading
I discuss a variety of topics in both the natural and social sciences, exploring the many fascinating insights that the scientific method yields about the world around us.
…
continue reading
Unexplainable takes listeners right up to the edge of what we know…and then keeps on going. The Unexplainable team — Noam Hassenfeld, Julia Longoria, Byrd Pinkerton, and Meradith Hoddinott — tackles scientific mysteries, unanswered questions, and everything we learn diving into the unknown. New episodes Mondays and Wednesdays. From Vox and the Vox Media Podcast Network.
…
continue reading
Deep in the back of your mind, you’ve always had the feeling that there’s something strange about reality. There is. Join Robert Lamb and Joe McCormick as they examine neurological quandaries, cosmic mysteries, evolutionary marvels and our transhuman future.
…
continue reading
Going Wild with Dr. Rae Wynn Grant is a different kind of nature show about the human drama of saving animals. From a paleoanthropologist who hunts fossils in conflict zones to someone who helped save an endangered species while in prison, in season four we will hear from real-life heroes and nature advocates with widely different expertise and life experiences that led them to be champions for the natural world. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals i ...
…
continue reading
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
Whether the topic is popcorn or particle physics, you can count on BrainStuff to explore -- and explain -- the everyday science in the world around us.
…
continue reading
The kickass science and technology radio show that delivers an irreverent look at the week in science and technology.
…
continue reading
The Science Show gives Australians unique insights into the latest scientific research and debate, from the physics of cricket to prime ministerial biorhythms.
…
continue reading
The Naked Scientists flagship science show brings you a lighthearted look at the latest scientific breakthroughs, interviews with the world's top scientists, answers to your science questions and science experiments to try at home.
…
continue reading
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