Ep 31: See What's Hidden: Unveiling AI's Power in Object Detection with R-CNN and Selective Search

15/06/2024 41 min

Listen "Ep 31: See What's Hidden: Unveiling AI's Power in Object Detection with R-CNN and Selective Search"

Episode Synopsis

Summary:
Explore the latest in AI this episode, starting with breakthroughs in scalable MatMul-free language modeling and advancements in vector search technologies with Pgvector now outpacing Pinecone at a reduced cost. We also look into Apple’s expansive integration of AI across its platforms and the role of BriaAI's RMBG-1.4 in AI development. Dive deep into the world of object detection with a detailed discussion on Selective Search and Rich Feature Hierarchies, exploring their impact on enhancing accuracy and semantic segmentation in AI-driven applications.

AI News:

[2406.02528] Scalable MatMul-free Language Modeling

Pgvector Is Now Faster than Pinecone at 75% Less Cost

Hierarchical Navigable Small Worlds (HNSW) | Pinecone 

https://aibusiness.com/nlp/apple-integrates-chatgpt-across-platforms-unveils-apple-intelligence

https://huggingface.co/briaai/RMBG-1.4



References for main topic:

https://www.researchgate.net/publication/262270555_Selective_Search_for_Object_Recogn


[1311.2524] Rich feature hierarchies for accurate object detection and semantic segmentation

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