George Chalhoub argues for transparent and enforceable guidelines for regulating the use of AI in scientific peer review.

Researchers tested AI on hundreds of high-value professional tasks and found models are improving—but not yet ready to do the ...

Enterprises have invested heavily in platforms like Snowflake and Databricks to unify both storage and compute. The challenge they face is delivering the right data to the right users in real time.

While the front-end user experience will remain the same — no, Wikipedia is not becoming a chatbot, the project leaders say — ...

Learn how to master Excel for data analysis and uncover actionable insights with this step-by-step guide. Perfect for beginners and pros ...

Called the Wikidata Embedding Project, the system applies a vector-based semantic search to the existing data on Wikipedia ...

DataJoint, a leading computational database and AI platform designed to streamline data management and accelerate research in neuroscience, oncology, and systems biology, today announced the ...

Data Analyst vs Business Analyst explains the roles, skills, salaries, and career growth of both professions. Understand key ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

The AgentBuilder suite’s capabilities let enterprises build and manage autonomous AI agents with contextual knowledge, domain expertise, and hybrid deployment flexibility.