Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Researchers have developed a machine-learning workflow to optimize the output ... Professor Takuya Taniguchi from the Center for Data Science, along with Mr. Kazuki Ishizaki and Professor Toru ...

Snowflake is addressing the complexity of migrating legacy data systems into the Snowflake ecosystem with SnowConvert AI, a ...

An international research team, led by Jian-Feng Mao, has developed PlantLncBoost, a new computational tool that helps to ...

H2O.ai, the world’s leading Agentic AI company and a pioneer in Sovereign AI with secure, on-premise and air-gapped ...

"Azure Machine Learning lowers the barrier to entry even further by enabling even those without a data science background to build and ... makes it possible for everyone to build and deploy workflows ...

Data science platform Kaggle is hosting a Wikipedia ... Wikimedia says the dataset hosted by Kaggle has been “designed with machine learning workflows in mind,” making it easier for AI ...