Enthought
Enthought is a global consulting and software company that powers digital transformation for science. We solve complex data problems for the most innovative and respected organizations across the life sciences, material sciences, chemical, semiconductor, and energy industries. Enthought helps companies strategically leverage data modeling, simulation, machine learning and AI to accelerate scientific discovery and uncover new revenue opportunities through the transformation of processes, technologies, and people.
Fun fact: We are the creators of the original SciPy package and founders of the popular annual conference for Scientific Computing with Python (SciPy).
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Webinar: What Every R&D Leader Needs to Know about ChatGPT and LLMs
マテリアルズ・インフォマティクスによる材料の発見と製品開発
Use Cases of AI in R&D: Materials Discovery and Product Development (Materials Informatics)
Enthought Academy - Deep Model Evaluation Short
The Future of the Science Lab is Digital
Day 1 Lightning Talks | SciPy 2022
SciPy Tools Plenary Session - Day 3 | SciPy 2022
SciPy Tools Plenary Session - Day 2 | SciPy 2022
Q&A and Panel Maintainers Track
UFuncs and DTypes new possibilities in NumPy | SciPy 2022
SciPy Tools Plenary Session - Day 1 | SciPy 2022
Introduction to Numerical Computing With NumPy - Logan Thomas | SciPy 2022
Monaco: Quantify Uncertainty & Sensitivities in Computational Models w/ Monte Carlo Lib | SciPy 2022
The Myth of the Normal Curve and What to Do About It - Allan Campopiano | SciPy 2022
Keynote: Fairness of Machine Learning in Medical Image Analysis - Enzo Ferrante | SciPy 2022
The (Surprising) Road to Reproducibility: Automation! - Prabhu Ramchandran | SciPy 2022
The Advanced Scientific Data Format (ASDF): An Update - Perry Greenfield | SciPy 2022
Keynote: Python's Contribution to Astronomy & Major Space Telescope Missions Megan Sosey | SciPy2022
Scientific Python—By Maintainers, for Maintainers | SciPy 2022
Python to Protect Voting Rights- Karin Knudson, Chanel Richardson, Gabe Schoenbach | SciPy 2022
An Introduction to Distributed Hybrid Hyperparameter Optimization- Jun Liu | SciPy 2022
Python for Global Applications: Law and Diplomacy Students- Karin Knudson, Anna Haensch | SciPy 2022
Comparing the Different Ways to Scale Python & Pandas Code- Shaswat Shah | SciPy 2022
Searching for Anomalous Subsets? All You Need is Scanning- Tanya Akumu | SciPy 2022
Pangeo Forge: Crowdsourcing Open Data in the Cloud- Ryan Abernathey | SciPy 2022
SciPy Tools Plenary Session- Martha Cryan | SciPy 2022
Keynote: SciPy in Climate Science- Peter Kalmus | SciPy 2022
Accelerating ETL/SQL Workloads with RAPIDS-Dask + Dask-SQL - Charles Blackmon-Luca | SciPy 2022