In discussions about AI's electricity consumption, Bill Gates presented a different viewpoint, emphasizing that concerns about AI's power demands are exaggerated, and that AI's contributions to scientific discovery and production processes far exceed its energy consumption. He cited examples of AI's role in improving steel production, optimizing meat processing, and weather forecasting. Gates also pointed out the potential of nuclear energy in addressing the climate crisis, noting that while current nuclear energy costs are high, advancements in technology, such as TerraPower's work on developing safer, more economical nuclear fission technology, hold promise for the future of affordable nuclear energy.

Recogni has introduced a revolutionary AI computing method called 'Pareto,' which employs an innovative logarithmic approach that enables AI chips to outperform existing technologies while significantly reducing energy consumption and operational costs when running large models. This technology is backed by prominent companies and venture capital firms such as BMW, Bosch, and Mayfield. Compared to traditional AI models like OpenAI's GPT-4 and Google's Gemini, the Pareto system significantly lowers energy consumption by converting multiplication into addition operations.

During an interview at a London event, Bill Gates stated that he is not concerned about the increased electricity consumption caused by artificial intelligence applications. He believes that artificial intelligence will ultimately help reduce energy consumption and accelerate the transition to sustainable energy sources.Image Source Note: The image was generated by AI, and the image is provided by Midjourney, the image licensing service.As Gates explained, even in the worst-case scenario, the ad

Nvidia plans to launch the B100AI accelerator with a power consumption of up to 1000W, which represents a 42% increase compared to previous products. A Dell executive stated that the power consumption of GPUs will continue to rise, but direct liquid cooling may no longer be an essential solution. Nvidia's next-generation GPUs may include the B200 Superchip, integrated with the Grace CPU, with power consumption potentially reaching around 1300 watts.

Scientists at the University of Surrey in the UK have successfully used artificial intelligence technology to adjust the systems of coal power plants, achieving a 36.3% reduction in power consumption and increased CO2 capture. Through predictive modeling, the system can real-time reduce the use of water pumps based on CO2 supply reductions or renewable energy shortages, thus improving carbon capture efficiency. The research results were published in the journal 'Reaction Chemistry & Engineering', contributing to sustainable development and UN goals. By leveraging artificial intelligence to adjust the systems, compared to traditional methods, there are...

Recent research warns that the power demand of artificial intelligence (AI) will grow rapidly, potentially reaching 850 to 1,340 terawatt hours per year by 2027, equivalent to the annual electricity consumption of some countries. Experts are calling for tech giants like OpenAI and Google to reassess their high-energy operational practices to reduce environmental costs. California has signed a climate disclosure bill requiring companies to report their carbon emissions, but the AI sector remains self-regulated. For sustainable development, the AI field needs more innovation and attention to meet its growing power demands.