In this competition, teams were charged with developing machine learning models and designing rules for RNA degradation. The models needed to predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span ...
(plot) Hardware advances: SIMD, Tensor Cores, TPU, FPGA, Quantum Computing (plot) HW, compilers, TensorFlow and Keras -> computational graph, memory allocation 0) Don't be scared of Linear Regressions - it does not "byte"!.. Basic Terminology: Linear regression Notebook 🐵🧠 (plot) Wh...
While the notion that a few animals produce polarized signals and use them in communication is not new, Mathger and Hanlon's findings present the first anatomical evidence for a "hidden communication channel" that can remain masked by typical camouflage patterns. The say their findings suggest it...
(plot) Hardware advances: SIMD, Tensor Cores, TPU, FPGA, Quantum Computing (plot) HW, compilers, TensorFlow and Keras -> computational graph, memory allocation 0) Don't be scared of Linear Regressions - it does not "byte"!.. Basic Terminology: Linear regression Notebook 🐵🧠 (plot) Wh...
“We used Bifrost to scatter everything that enriched the fantastic forest sequence inAnt-Man and The Wasp: Quantumania.” —Thomas Kutschera, Head of Groom CFX, Pixomondo Read story Image courtesy of Mikros Animation “To create something new, unique, and never seen … we went for 3D dry ...
which have come from 4 of CU’s campuses and have reached 1.9 million learners from 192 countries. Michael Lightner, vice president of academic affairs, points out that MOOCs have provided an immense benefit to CU’s reputation. The cost to put ads in 192 countries would be prohibitive, but...
In this competition, teams were charged with developing machine learning models and designing rules for RNA degradation. The models needed to predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span ...
In this competition, teams were charged with developing machine learning models and designing rules for RNA degradation. The models needed to predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span ...
In this competition, teams were charged with developing machine learning models and designing rules for RNA degradation. The models needed to predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span ...
In this competition, teams were charged with developing machine learning models and designing rules for RNA degradation. The models needed to predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span ...