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AI Has an Uber Problem

O'Reilly

In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period. They used their funding to do serious research and development, to build factories, cars, batteries, rockets and satellites. Tesla and SpaceX are good examples.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Personally, I think – and this is clearly linked to the rise of AI and ML – that there has never been a better time than today to develop smart applications and use them. Because three things are coming together. That is understandable.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

In France, you can find one of the most vibrant startup ecosystems in the world, a strong research community, excellent energy, telecom, and transportation infrastructure, a very strong agriculture and food industry, and some of the most influential luxury brands in the world.

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Corporate Responsibility in the Age of AI

O'Reilly

Developing good prompts is serious work and it requires training. That’s certainly true for technical employees who will be developing applications that use AI systems through an API. Encouraging partners to use AI responsibly in the products they develop. Would we even know if an AI developed a bias against left-handed people?