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# Introduction
If you've ever tried building a complete AI stack from scratch, you know it's like herding cats. Each tool demands specific dependencies, conflicting versions, and endless configuration files. That's where Docker quietly becomes your best friend.
It wraps every service — data pipelines, APIs, models, dashboards — inside…
Science
Published
16 October 2025
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# Introduction
Data has become an easier commodity to store in the current digital era. With the advantage of having abundant data for business, analyzing data to help companies gain insight has become more critical than ever.
In most businesses, data is stored within a structured database, and SQL is…
Responsibility & Safety
Published
6 October 2025
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# Introduction
If you’ve used LLMs for different tasks, you’ve probably noticed that the response often depends on how you write the prompt. This is what we call prompt engineering. The way you give instructions can be the difference between a vague reply and a precise, actionable answer. I know…
How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from NVIDIA released “ViPE: Video Pose Engine for 3D Geometric Perception” bringing a key improvement for Spatial AI. It addresses the central, agonizing bottleneck that has constrained the field of 3D computer vision for years.
ViPE…
Earlier this year, we mentioned that we're bringing computer use capabilities to developers via the Gemini API. Today, we are releasing the Gemini 2.5 Computer Use model, our new specialized model built on Gemini 2.5 Pro’s visual understanding and reasoning capabilities that powers agents capable of interacting with user interfaces (UIs). It outperforms leading alternatives…
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# Introducing ChatGPT Study Mode
Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits with personalized learning, interactive exercises, and on-demand explanations. Yet, as with any new technology, the…
A team of researchers from Meta Reality Labs and Carnegie Mellon University has introduced MapAnything, an end-to-end transformer architecture that directly regresses factored metric 3D scene geometry from images and optional sensor inputs. Released under Apache 2.0 with full training and benchmarking code, MapAnything advances beyond specialist pipelines by supporting over 12 distinct 3D vision…
Acknowledgements We thank the International Collegiate Programming Contest (ICPC) for their support. This project was a large-scale collaboration, and its success is due to the combined efforts of many individuals and teams. Hanzhao (Maggie) Lin led the overall technical direction for Gemini competitive programming and ICPC 2025 efforts, and co-led with Heng-Tze Cheng on the…