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The hidden climate cost of AI: How tech giants are struggling to go green

AI News

Training large language models like GPT-3 requires vast amounts of data to be processed by thousands of specialized chips running around the clock in sprawling data centres. Once deployed, AI models consume significant energy with each query or task. That goal now appears increasingly challenging.

Big Data 291
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From Internet of Things to Internet of Everything: The Convergence of AI & 6G for Connected Intelligence

Unite.AI

trillion by 2030. It facilitates a higher level of interconnectivity by seamlessly combining numerous technologies, like cloud computing, edge computing, AI, IoT, 6G, and data analytics, along with various gadgets, sensors, and machines to gather, transmit, and analyze data in real-time. billion by 2030, compared to $928.11

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Big tech’s AI spending hits new heights

AI News

A growing market: AI is projected to create $20 trillion in global economic impact by 2030. In countries like India, AI could contribute $500 billion to GDP by 2025. Infrastructure demands: Training and running AI models require massive investment in infrastructure, from data centres to high-performance GPUs.

Big Data 256
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Sovereign AI gets boost from new NVIDIA microservices

AI News

This move comes amidst an anticipated boom in the Asia-Pacific generative AI software market. ABI Research forecasts a surge in revenue from $5 billion this year to a staggering $48 billion by 2030. These models are designed to possess a more thorough grasp of local laws, regulations, and cultural intricacies.

Big Data 247
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How Do AI-Generated Models Impact the Retail Industry?

Aiiot Talk

Generative AI is taking several industries by storm, and retail is no exception. This tech opens the door for new and diverse outputs, from creating entirely new products and services to automating a wide range of tasks. Check out some of the impacts AI generation is expected to have on retail.

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How deep industry expertise enables breakthrough technology for today’s complex business needs

IBM Journey to AI blog

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

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9 no-code and low-code ways to build AI-powered Speech-to-Text tools

AssemblyAI

AI applications are set to contribute $15.7 trillion to the global economy by 2030, with 35% of businesses having already integrated AI technology.    AI Speech-to-Text, a component of Speech AI, uses cutting-edge Automatic Speech Recognition (ASR) models to transcribe and process speech into readable text.