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Harnessing open access publishing with artificial intelligence

The question of how intellectual property rights should be treated in the age of open access publishing and artificial intelligence has sparked a debate among stakeholders, including scientists, publishers and funders.

The convergence of big data, cloud computing and AI has created a research environment where the cost of premier access need no longer be prohibitive to all but large corporations and academic institutions.

Since the open access movement started, decades ago, we have seen more and more open access publishers and they are doing very well…More funding agencies and research institutions are increasing their budget to encourage their researchers, scientists and technologists to make their research published as open access media.” Advocates of open access publishing believe that international initiatives such as Plan S will help enforce global compliance.

“Everyone can take a look at how we ended up with the ranking decision,” says Dr Wang, “how we actually identify what is the most incredible work that we recommend to our users.” He argues that evaluation metrics such the journal impact factor are flawed and may become obsolete.

'There is plenty of scientific evidence to show that using journal impact factor is actually not the right thing to do to evaluate a research outcome,' he says, adding that with machine learning having built huge datasets and Microsoft making public both the data and the algorithm that sorts it, the AI can be trained to evaluate research outcomes more effectively.

The Stanley Foundation

Gender Champions in Nuclear Policy The Stanley Foundation has joinedGender Champions in Nuclear Policy, a new international initiative bringing together more than 30 organizations working in the global nuclear policy field and committed to gender equality.

The effects of these capabilities will be felt across the spectrum of military requirements—from intelligence, surveillance, and reconnaissance to offense/defense balances and even on to nuclear weapons systems themselves.

In this package, five top experts in AI and its potential uses in autonomous weapons and sensing systems weigh in on the moral and practical challenges of managing the explosion of military AI research and development around the world.

This brief provides a framework for questions about crisis stability in today’s information ecosystem and concludes with a series of open questions deserving further examination.

The effects of these capabilities will be felt across the spectrum of military requirements—from intelligence, surveillance, and reconnaissance to offense/defense balances and even on to nuclear weapons systems themselves.

In this package, five top experts in AI and its potential uses in autonomous weapons and sensing systems weigh in on the moral and practical challenges of managing the explosion of military AI research and development around the world.

This brief provides a framework for questions about crisis stability in today’s information ecosystem and concludes with a series of open questions deserving further examination.

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Artificial Intelligence: A History

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How Google's DeepMind is Using AI to Tackle Climate Change

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