Haplotype-resolved reference genomes of the sea turtle clade unveil ultra-syntenic genomes with hotspots of divergence

Kavli Affiliate: Erich Jarvis | Authors: Larissa S. Arantes, Tom Brown, Diego De Panis, Scott D. Whiting, Erin L. LaCasella, Gabriella A. Carvajal, Adam Kennedy, Deana Edmunds, Blair P. Bentley, Jennifer Balacco, Conor Whelan, Nivesh Jain, Tatiana Tilley, Brian O’Toole, Patrick Traore, Erich D. Jarvis, Oliver Berry, Peter H. Dutton, Lisa M. Komoroske and Camila […]


Continue.. Haplotype-resolved reference genomes of the sea turtle clade unveil ultra-syntenic genomes with hotspots of divergence

dolphin: A fully automated forward modeling pipeline powered by artificial intelligence for galaxy-scale strong lenses

Kavli Affiliate: Joshua Frieman | First 5 Authors: Anowar J. Shajib, Nafis Sadik Nihal, Chin Yi Tan, Vedant Sahu, Simon Birrer | Summary: Strong gravitational lensing is a powerful tool for probing the internal structure and evolution of galaxies, the nature of dark matter, and the expansion history of the Universe, among many other scientific […]


Continue.. dolphin: A fully automated forward modeling pipeline powered by artificial intelligence for galaxy-scale strong lenses

Formation and Evolution of Compact Binaries Containing Intermediate Mass Black Holes in Dense Star Clusters`

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Seungjae Lee, Hyung Mok Lee, Ji-hoon Kim, Rainer Spurzem, Jongsuk Hong | Summary: We investigate the evolution of star clusters containing intermediate-mass black hole (IMBH) of $300$ to $5000 mathrm{M}_odot$, focusing on the formation and evolution of IMBH-stellar mass black holes (SBHs; $M_{rm BH} lesssim 10^2 mathrm{M}_odot$) […]


Continue.. Formation and Evolution of Compact Binaries Containing Intermediate Mass Black Holes in Dense Star Clusters`

Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Zeeshan Ahmed, Frank Seide, Zhe Liu, Rastislav Rabatin, Jachym Kolar | Summary: Simultaneous or streaming machine translation generates translation while reading the input stream. These systems face a quality/latency trade-off, aiming to achieve high translation quality similar to non-streaming models with minimal latency. We propose an approach […]


Continue.. Non-Monotonic Attention-based Read/Write Policy Learning for Simultaneous Translation