We built an 8000 sqft. high-throughput wet-lab in 30 days, to solve molecular discovery - starting with pesticides.
Most teams in drug-discovery don’t receive target-organism verification until clinical trials. Pesticides allow us to rapidly validate our model in the target organism directly. With the help of our high-throughput lab, we were able to generate compounds that killed a $13 billion pest, the Fall Armyworm.
We believe that the bitter lesson is coming for biology.
Impressive work in applied machine learning from theses students of the Wolfram Emerging Leaders program
PLAPT: Protein-Ligand Binding Affinity Prediction using Pretrained Transformers.
https://t.co/swi9oRErmk
Happy to announce that Netflix has released a Graphical User Interface for Metaflow, our open-source framework for data science. https://t.co/VvPzJwrhst
Thanks @james2pl really like your article “Metaflow: Build and Manage Real-Life Data Science Projects” by Dimitris Poulopoulos
https://t.co/we9xurrBl1
papermill 2.0 has been released!
What's inside?
- Support for parameterizingF# and C# kernels
- Support for an execution time-out option
- Support for HDFS I/O
- Integration with the new nbclient
- ...and more!
🗞
https://t.co/OqKX8rkUfP
Today we kick off our #reInvent 2019 series with this great conversation featuring Ville Tuulos (@vtuulos) of @Netflix. We talk all things #Metaflow, which was just open-sourced last week at the event! https://t.co/R5lLT8nJLP