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Up to now few years, 75 p.c of all the cash invested in generative AI (gen AI) has come from america and been directed at home investments. Given this statistic, some folks assume Europe has already misplaced the generative AI battle. We actually imagine this isn’t the case, and that it’s not too late for Europe to compete and win within the gen-AI race.
There are three causes for this perception. First, we’ve got completed it earlier than. In 1954, on the daybreak of the nuclear power age, we created the European Group for Nuclear Analysis (CERN), the place some 6000 scientists laid the foundations of Europe’s world-class nuclear power trade. That mannequin could apply to AI as properly, as I’ll clarify.
Second, we have already got generative AI champions in Europe like Mistral AI, a French firm that produces massive language fashions (LLMs). Mistral was based by French Silicon Valley engineers who returned residence to discovered the corporate, and has raised 500 million euros. Equally, one other LLM firm in Germany, Aleph Alpha, which was based by former German staff of different tech companies, has additionally raised roughly 500 million euros. So it isn’t too late to leverage these open-source, massive language fashions to compete with American ones.
The third factor Europe has at scale is human capital. We now have many faculties, universities, and scientific entities the place individuals are researching and growing AI. We even have a deep expertise pool throughout Europe, which could be leveraged to compete and win within the generative AI race. So we suggest assembling a vital mass of AI researchers from throughout Europe—simply as we did with nuclear scientists at CERN—to create a public-private analysis heart to attach the dots between all of the European establishments conducting AI analysis, guaranteeing the collaboration essential to generate innovation and gas AI start-ups being funded as we converse.
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