Digs & Dropbox AI Partnership, Google Gemini 2.0, and OpenAI's Stargate in Texas
February 07, 2025 -
Daily AI Brief
Hi there,
Welcome to today's AI Brief. Digs and Dropbox have announced a partnership to integrate AI technologies into the construction industry. OpenAI is planning to establish a new data center in Texas as part of its Stargate AI initiative. Meanwhile, GitHub has introduced a new vision feature in its Copilot tool, enabling code generation from images.
In other news, Semgrep has secured $100 million in funding to enhance AI-driven code security solutions. Additionally, Palantir is collaborating with Enabled Intelligence to improve the accuracy of AI models. Stay informed with these developments in the AI sector.
Top stories
Digs and Dropbox Partner for AI in Construction
Digs has partnered with Dropbox to integrate AI technology with secure collaboration tools for the Architecture, Engineering, and Construction industry, aiming to enhance efficiency and innovation. Read more
OpenAI's Stargate AI Plans Texas Data Center
OpenAI has announced Texas as the flagship location for its Stargate project, aiming to establish data centers across the U.S. to bolster AI infrastructure. Read more
GitHub Copilot Adds Vision Feature for Code from Images
GitHub has announced updates for Copilot, including a new Vision feature that allows users to upload images for code generation, and improved next edit suggestions that analyze recent edits for better predictions. Read more
Semgrep Secures $100M for AI Code Security
Semgrep, a San Francisco-based application security startup, has raised $100 million in a Series D funding round led by Menlo Ventures. The company plans to enhance its AI-powered code security platform. Read more
Palantir and Enabled Intelligence Partner for AI Model Accuracy
Palantir Technologies has partnered with data-labeling startup Enabled Intelligence to enhance the quality of data for AI models used by the U.S. Defense Department and Intelligence Community. This collaboration aims to improve dataset quality for training AI models, thereby increasing accuracy and reliability. Read more
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