Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Overview AI agents automate repetitive workflows, empowering data scientists to focus on strategic, high-value ...

Abstract: Exploratory data analysis (EDA) plays an important role in various areas of research. In scenarios where reliable communication is essential, such as maritime environments, EDA can play a ...

At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...

BXCL501 demonstrated a significant mean reduction in mCGI-S score from baseline compared to placebo at 2 hours across 2,433 treated episodes (p<.05) Complete resolution of agitation was significantly ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Google on Wednesday significantly expanded its portfolio of AI agents, launching a powerful new AI coding teammate for developers and a suite of four specialized agents for data professionals. The ...

Google is introducing powerful tech for agents and data. They are also introducing a series of data-centric agents. A new command-line AI coding tool is now available. I am no stranger to hyperbolic ...