🌍 Google AI tracks building growth in developing nations

Welcome Humans🤖,

Here is what we have Today:

• 32 Million Square Miles of Change
  Google AI maps Global South Urban Growth

• Nvidia`s New Rival

  ByteDance aims for AI chip independence by 2026

• New Job Opportunities

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• Apple has released the beta version of its highly anticipated AI software update, iOS 18.1, for early testing alongside the iPhone 16 release — significantly enhancing Siri and introducing a suite of AI-powered features.

• TikTok is developing its own AI GPUs, aiming to reduce reliance on Nvidia with two chips for AI training and inference while staying within the U.S. export regulations planned for mass production in 2026.

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• Hume AI introduced EVI 2, a new voice-to-voice model that mimics highly human-like conversations with natural tones and varied styles, focused on emotional intelligence.

• Lionsgate, the film company behind The Hunger Games, John Wick, and Saw, partnered with AI video generation company Runway to create a custom AI model trained on Lionsgate’s film catalogue.

Snap

🏙️ Google AI Tracks Urban Evolution

Google unveiled the Open Buildings 2.5D Temporal Dataset, an AI-powered tool tracking building changes across the Global South from 2016 to 2023, including estimates of building presence, counts and heights.

What area does it cover?

• 32 million square miles across Africa, Latin America, South and Southeast Asia

• Uses 10m resolution imagery from Sentinel-2 satellites

What can the AI detect?

• Building presence

• Building counts

• Estimated building heights

• Changes in urban landscapes over time

How does the AI work?

• Combines multiple low-resolution satellite images

• Achieves near high-resolution accuracy in building detection and height estimation

What are its intended uses?

• Urban planning

• Crisis response

• Environmental impact studies

• Filling gaps in infrastructure data for developing regions

Are there any limitations?

• Difficulty gathering data in areas with frequent cloud coverage

• Challenges in detecting very small structures

Why is this significant?

• Provides crucial data for regions lacking up-to-date infrastructure information

• Could aid in better urban development and disaster prevention

• Demonstrates Google's focus on using AI for real-world problem-solving

This tool represents a significant step in using AI for urban planning and environmental monitoring, potentially improving life in developing regions through better-informed decision-making.

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