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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

In the News Top 10 AI Tools Cooler Than ChatGPT For our list of AI tools cooler than ChatGPT, we conducted extensive research and considered various factors such as performance, versatility, innovation, user-friendliness, integration, and industry impact. dataversity.net Is AI advancing too quickly? Powered by pluto.fi

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Doing the Dirty Work: Using AI in Waste Management

Aiiot Talk

Artificial intelligence and machine learning are fundamentally transforming how industries operate, especially with regard to automation and big data processing. How AI Can Transform Waste Management Since 1990, Americans have generated over 200 million tons of municipal solid waste a year.

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The Most Obvious Secret in AI: Every Tech Giant Will Build Its Own Chips

TheSequence

Scaling Learning for Different Robots Google DeepMind published a paper and dataset detailing Open X-Embodiment, a dataset for robotics training. The paper also discusses the robotics transformer model that can transfer skills across different robotics embodiments —> Read more. billion to acquired SP Plus.

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How AI Transforms Cloud Structures to Enable Data-Driven Decision-Making

Aiiot Talk

Enhancing Data-Driven Decision-Making With AI-Driven Cloud Structures AI has enhanced data-driven decision-making within cloud structures by making it easier for you to interpret big data. Improved prediction accuracy: AI can accurately predict trends and behaviours through machine learning.

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Fourth Industrial Revolution: AI and Automation

Analytics Vidhya

The advent of the industrial revolution comprising AI and automation has dominated the world. The remarkable strides […] The post Fourth Industrial Revolution: AI and Automation appeared first on Analytics Vidhya.

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Reshoring manufacturing to the US: The role of AI, automation and digital labor

IBM Journey to AI blog

AI, automation and digital labor can help tackle these challenges. To address this challenge, companies can use digital labor to supplement the existing workforce by automating repetitive, dangerous or complex tasks. However, reshoring presents several challenges—mainly workforce, technical and economic issues.