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

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

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AI in 2025: Purpose-driven models, human integration, and more

AI News

With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions? Mobile devices and wearables will be at the forefront of this transformation, delivering seamless AI-driven experiences.

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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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Artificial Super Intelligence: Preparing for the Future of Human-Technology Collaboration

Unite.AI

According to Goldman Sachs , up to 300 million full-time jobs globally could be lost due to AI automation by 2030. For instance, predictive policing algorithms used by law enforcement can disproportionately impact marginalized communities due to biases in data collection. On a social level, ASI could change how we live and work.

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Securely running AI algorithms for 100,000 users on private data

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With the growing demand for healthcare services, the global economy is projected to need an additional 14 million healthcare workers by 2030 based on a report by the World Health Organization (WHO). Validating AI algorithms performance through benchmarking is a critical step before they can be integrated into clinical practice.