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Anzhella Pankratova
Content Author at OpenCV.ai
OpenCV AI Weekly Insights Digest: Latest Updates in Computer Vision and AI

Digest 19 | OpenCV AI Weekly Insights

Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
April 12, 2024

Welcome to the OpenCV AI Weekly Insights Digest!

Keep your AI edge sharp with our "OpenCV AI Weekly Insights Digest." Dive into concise, impactful updates straight from the forefront of artificial intelligence.

OpenCV For Android Distribution

OpenCV 4.9.0 is now on Maven Central, making it easier for Android developers to use. Supported by ARM, this update helps developers add computer vision to applications without complex setup.

Start using OpenCV in your projects by adding a line to your build.gradle. Thanks to Arm for their support in enhancing OpenCV for Android!

Read More: Blog OpenCV.ai

Depth Estimation Technology in iPhones

Our hands-on exploration with iPhone's LiDAR technology is now live! In this article, we review how LiDAR is used for depth measurement in iPhones.

Through several experiments, we've tested LiDAR's capabilities, examining its precision in creating depth maps and its efficiency in different lighting conditions.

Read More: Blog OpenCV.ai

Karpathy Presents Simplified GPT-2 Model Training Without PyTorch

Image Source: Twitter

Andrej Karpathy, known for his work at OpenAI and now at Tesla, has launched a new project about Language Models (LLMs). He created a version of GPT-2 with 124 million parameters, trained on a CPU using C/CUDA without PyTorch. It's written in under 1,000 lines of code and allows training GPT-2 on a CPU with 32-bit precision. This project helps people understand how language models are trained and makes AI more accessible by showing how models can be trained using simple code.

Read More: Twitter

Apple's ReALM System: A Game-Changer in AI, Outperforming GPT-4

Image Source: Apple

Apple's AI research team has presented their latest innovation: the Reference Resolution As Language Modeling (ReALM) system, which they assert surpasses GPT-4 in certain query types.  While Apple's digital assistant Siri has historically lagged in AI advancements, ReALM offers a promising solution by harnessing on-screen references and device processes to deliver more precise responses. This breakthrough not only enhances user interactions but also underscores Apple's dedication to advancing AI technology. With plans to integrate ReALM into Siri with the release of iOS 18 this summer, users can anticipate a more intelligent and intuitive digital assistant experience.

Read More: TechExplore

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