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Category: economics – Page 36

Recent data shows that both Korea and China are ahead of the US in terms of ratios of robots to manufacturing workers.

Robot use is an indication of economic prosperity and growth throughout the world. The ratio of industrial robots to manufacturing workers is one of the most frequently used approaches to benchmarking robot adoption rates.

The International Federation of Robotics (IFR) publishes statistics on robot utilization worldwide in manufacturing. Its most recent data is from 2021 and shows Korea leading the way in terms of robot use in manufacturing.

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GPT-4, PaLM, Claude, Bard, LaMDA, Chinchilla, Sparrow – the list of large-language models on the market continues to grow. But behind their remarkable capabilities, users are discovering substantial costs. While LLMs offer tremendous potential, understanding their economic implications is crucial for businesses and individuals considering their adoption.

While LLMs offer tremendous potential, understanding their economic implications is crucial for businesses and individuals considering their adoption.

First, building and training LLMs is expensive. It requires thousands of Graphics Processing Units, or GPUs, offering the parallel processing power needed to handle the massive datasets these models learn from. The cost of the GPUs, alone, can amount to millions of dollars. According to a technical overview of OpenAI’s GPT-3 language model, training required at least $5 million worth of GPUs.

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A new facility will be able to produce battery capacity to power 130,000 homes on a daily basis using renewable energy.

Zinc halide batteries touted as a low-cost alternative to battery energy storage system (BESS) have received a significant boost in the US after the Department of Energy (DOE) offered a $400 million loan to help scale production and reduce manufacturing costs, a press release said. The offer will cover setting up of four production lines at battery maker Eos’ facility in Turtle Creek, Pennsylvania.

Lithium-ion batteries are a crucial component of our attempts to switch to a greener economy powered by renewable energy. Although the technology is ubiquitous these days and powers everyday devices like smartphones and even electric vehicles (EVs), it is still very expensive.

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The recent unveiling of Huawei Technologies’ Mate 60 Pro smartphone has sparked a whirlwind of chatter across political, economic, and technological spectrums. The device, a showcase for China’s growing prowess in semiconductor technology, has left industry insiders debating whether it signifies a significant milestone in the US-China technology cold war.

Ever since Huawei was blacklisted by the US in 2020, denying it access to state-of-the-art American chip technologies, the tech giant has been cloaked in secrecy. In this mysterious atmosphere, the launch of Mate 60 Pro has become the subject of intense scrutiny, primarily due to the chip powering it—dubbed Kirin 9000s.

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More remarkably, the advent of artificial intelligence (AI) and machine learning-based computers in the next century may alter how we relate to ourselves.

The digital ecosystem’s networked computer components, which are made possible by machine learning and artificial intelligence, will have a significant impact on practically every sector of the economy. These integrated AI and computing capabilities could pave the way for new frontiers in fields as diverse as genetic engineering, augmented reality, robotics, renewable energy, big data, and more.

Three important verticals in this digital transformation are already being impacted by AI: 1) Healthcare, 2) Cybersecurity, and 3) Communications.

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Today marks nine months since ChatGPT was released, and six weeks since we announced our AI Start seed fund. Based on our conversations with scores of inception and early-stage AI founders, and hundreds of leading CXOs (chief experience officers), I can attest that we are definitely in exuberant times.

In the span of less than a year, AI investments have become de rigueur in any portfolio, new private company unicorns are being created every week, and the idea that AI will drive a stock market rebound is taking root. People outside of tech are becoming familiar with new vocabulary.

Large language models. ChatGPT. Deep-learning algorithms. Neural networks. Reasoning engines. Inference. Prompt engineering. CoPilots. Leading strategists and thinkers are sharing their view on how it will transform business, how it will unlock potential, and how it will contribute to human flourishing.

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Could you mine all the resources needed for space exploration from space itself? China reveals plans to achieve this goal by 2100.

Chinese space scientists have unveiled a preliminary roadmap that aims to establish a comprehensive space resources system spanning the solar system by the year 2100.

The ambitious initiative, named after the Ming dynasty scientist Song Yingxing’s work, “Tiangong Kaiwu” or “The Exploitation of the Works of Nature,” has the potential to transform the global space economy and elevate China’s standing in the world of space exploration, reported South China Morning Post.

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In a Nutshell…

Conclusively, the partnership between NASA and DARPA to test a nuclear-powered rocket for future Mars missions marks a significant milestone in space exploration. The use of a nuclear thermal rocket engine offers several benefits including faster transit times, increased science payload capacity, and higher power for instrumentation and communication. These advancements will play a crucial role in helping NASA meet its Moon-to-Mars objectives and establish a space transportation capability for the Earth-Moon economy. Moreover, the successful demonstration of the DRACO program could have far-reaching implications for future space exploration efforts. The nuclear thermal propulsion technology could be used for not just crewed missions to Mars but also for other deep space missions, enabling humans to journey faster than ever before. This collaboration between NASA and DARPA brings together the best of both worlds, and the successful outcome of this project will be a major achievement in advancing space technology. The future looks bright for the space industry, and with more innovations like the DRACO program, we may be able to explore even more of our universe in the years to come.

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