"The stakes are obviously huge, and no large tech company, including Amazon, wants to be left behind."
- By Pure AI Editors
- 09/28/2023
Anthropic, in turn, has committed to expanding its support of the Amazon Bedrock foundational model platform.
Microsoft CEO Satya Nadella says Copilot for Windows will transform the personal computing era.
Privacy and security concerns about generative AI are rampant, but there's significant demand for it among healthcare workers.
Amazon Web Services is joining tech giants like Microsoft in erecting ad hoc guardrails around AI-generated content.
Salesforce has unveiled a new AI coding assistant based on its Einstein technology, and the name all but standardizes a term popularized by Microsoft's GitHub with its game-changing tool, GitHub Copilot.
As copyright challenges to generative AI tech ramp up, Microsoft offers legal protection to Copilot users.
Windows Insiders signed up to the Beta Channel should soon be able to start testing Microsoft's AI-enabled chat service.
Microsoft today announced the availability of a public preview of "Python in Excel," which combines the capabilities of the popular Python programming language with Microsoft's ubiquitous Excel spreadsheet.
- By John K. Waters
- 08/23/2023
The VMware Explore 2023 conference this week brought a surge of AI-related announcements, including the unveiling of the "Private AI" initiative in collaboration with chipmaker NVIDIA, as well as AI integrations into the Anywhere Workspace platform, among other developments.
While many studies raise concerns about AI potentially displacing jobs, several indicators point to a net positive impact on the workforce when AI is integrated into business operations.
Google is leveraging its foundational AI model for an experiment called "Project IDX," which aims to helps developers create full-stack web and multi-platform applications in its cloud computing platform.
Alibaba Cloud, a longstanding challenger to the conventional "Big 3" cloud industry leaders, has taken a significant step by open sourcing two large language models (LLMs).