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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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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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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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CarbonClipper: A Learning-Augmented Algorithm for Carbon-Aware Workload Management that Achieves the Optimal Robustness Consistency Trade-off

Marktechpost

There are limitations in the current algorithms and models when dealing with the combined challenges due to movement costs and deadline constraints, especially for workload migration across different locations, hence becoming necessary for carbon efficiency. Data centers are poised to be among the world’s largest electricity consumers.

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Google’s dilemma: AI expansion vs achieving climate goals

AI News

The tech giant has pledged to operate on 24/7 carbon-free energy by 2030, aiming to set a precedent for the industry. Still, more must be done to optimise AI algorithms’ energy efficiency. of global energy generation by 2030. However, the latest figures cast a shadow over these aspirations. In May, Microsoft Corp.

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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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How AI is making electric vehicles safer and more efficient

IBM Journey to AI blog

The survey also found that consumer adoption is at a tipping point , with industry executives expecting EVs to account for 40% of car sales by 2030, largely due to EVs becoming cheaper. Automakers can also use advanced algorithms to determine the specific chemistry, size and shape that leads to the best performance and more sustainable cars.