Four Weekly Tech Newsletter – March 24

A round up of the latest tech stories, curated for you weekly, by Four.

Lead articles from March 24

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Can artificial intelligence create art?

As machines become more sophisticated, will artificial intelligence be the evolution or the end of art? Generative art: artistic works created with artificial intelligence could become more common. AI is entering the artistic arena, and it is fundamentally changing creativity and culture as we know it, a UNSW researcher says.

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Europe's artificial intelligence blind spot: race

Europe’s vision of artificial intelligence regulation is color-blind — and not in a good way. The EU is intent on carving out a “third way” for AI regulation that boosts innovation but respects “European values,” including privacy and human rights. But there’s fear the rules will not consider people of color.

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The ten most innovative companies in AI

As ML becomes a more central aspect of companies’ strategies to rethink their business processes, we’ve seen a broad diversification of where the technology is applied in business, from carbon capture to fighting misinformation.

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Data centre security is key to resilience

The Capgemini and Forrester study showed how organizations are prioritizing cyber-resilience as a way to scale data-centric security. Of the 75% of companies planning to increase their cybersecurity budgets in response to COVID-19, the majority of the respondents (71%) said they prioritized data-centric security.

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Major flaws found in ML for Covid 19 diagnosis

A coalition of AI researchers and health care professionals in fields like infectious disease, radiology, and ontology have found several common but serious shortcomings with ML made for COVID-19 diagnosis.

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Training artificial intelligence through synthetic data

AI companies are generating synthetic data to train machine learning systems. Why it matters:Using computer-generated data to train AI systems can help address privacy concerns and cut down on bias while meeting the needs of models that operate in highly specific environments. How it works: A synthetic data set is artificially created, rather than scraped from the real world.