In a recent policy change, Google has banned deepfake-generating AI projects from Colab, its platform for hosting and running arbitrary Python code.

Google has upgraded its Colab service with a new 'agent' integration designed to help users analyze different types of data.

A recent TechRepublic Premium poll shows AI/ML projects have moved out of the pilot project phase and into implementation.

Google Colab, Google's cloud-based notebook tool for coding, data science, and AI, is gaining a new "AI agent" tool, Data Science Agent, to help Colab users quickly clean data, visualize trends ...

In summary AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.

Programmers will be able to ask Colab AI programming-related questions, and the chatbot will hopefully provide a non-hallucinated answer with instructions and code samples.

Companies of all sizes and across all verticals continue to embrace artificial intelligence (AI) and machine learning (ML) for myriad reasons. They’re eager to leverage AI for big data analytics to ...