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The ongoing AI revolution is reshaping the world, one algorithm at a time

AI News

trillion to the global economy by 2030. By using the power of trained machine learning algorithms and decentralised ledgers, Twin Protocol allows individuals to develop digital twins that can capture not just information, but individual expertise and personality traits. Interesting times are ahead!

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DeepMind Introduces JEST Algorithm: Making AI Model Training Faster, Cheaper, Greener

Unite.AI

The learning algorithms need significant computational power to train generative AI models with large datasets, which leads to high energy consumption and a notable carbon footprint. Google's recently introduced JEST algorithm is pioneering research toward making training algorithms smarter.

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The merging of AI and blockchain was inevitable – but what will it mean?

AI News

Similar projections have also been released by multinational giants such as Morgan Stanley and Wells Fargo, with the latter’s model suggesting that, by 2030, AI-centric energy consumption will account for 16% of the USA’s current electricity demand. trillion by 2030 , while the blockchain market is set to reach a valuation of $248.8

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Last-Mile Deliveries in 2030: Product Trends that Will Change the Industry for the Better

Unite.AI

The future of last-mile deliveries holds promise for customers, driven by emerging trends poised to reshape what is possible in the logistics industry by 2030. One report shows the fulfillment center market size, fueled by e-commerce, will grow by almost 14 percent annually through 2030.

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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. billion by 2030, compared to $928.11 It refers to a digitally connected universe built on smart devices like fitness trackers, home voice assistants, smart thermostats, etc. IoT market is growing rapidly. It is reaching every home across the globe. According to McKinsey, the global IoT market will amount to $12.6

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STAT+: Generative AI is transforming radiology, and it’s only the beginning

Flipboard

By 2030, agreed a roomful of radiologists in Chicago this week, generative AI will be ubiquitous in their written work. 

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How AI and ML Are Scaling Data Collection to Transform Medical Monitoring

Unite.AI

There are several factors researchers should keep in mind when developing these novel technologies to ensure they are collecting the highest quality data and building scalable, accurate, and equitable ML algorithms fit for real-world use cases. This ensures we are building safe, equitable, and accurate ML algorithms.

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