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Information about Blockchain for Science, Research and Knoweldge creation. The decentralized future of science. Blockchain bears the potential to make science more effective, make research continous, free data and fix the reproducibility crisis in science.
The US military agency is worried the country could lose its edge in semiconductor chips with the end of Moore’s Law.
The nonprofit's Summer Immersion Program aims to catch girls before their interest in computer science plummets.
Coko Foundation is constructing an open source technology framework with separate components that can be assembled and reassembled to support a wide range of use cases. All code is open source under an MIT license.
Machine learning on mountain of safety data improves automated assessments.
New IBM system shows off argumentation skills.
Using version control and continuous integration, to create a modern data management system.
Teach anyone how to create reproducible reports, with reusable environments, using technologies like Nix, LaTeX, and KnitR for languages like R, Python and JavaScript.
Kai-Fu Lee - a former Apple, Microsoft and Google executive turned investor - is placing big bets on machine learning. And China is leading the way.
And the key to its popularity is the online repository and social network, GitHub.
For programmers, this is a blockbuster announcement in the world of data science.
Virtual- and augmented-reality tools allow researchers to view and share data as never before. But so far, they remain largely the tools of early adopters.
Big technology companies seem to be waging a war on humankind’s long-standing intellectual tradition, according to author Franklin Foer, who shows us how to fight back.
As the U.S. and China threaten to impose tariffs on goods from aluminum to wine, the two nations are waging a separate economic battle that could determine who owns the next wave of computing.
5 technologies under development at the IBM Research labs.
How blockchain can be used to time-stamp data and authenticate research.
Automating the training of machine-learning systems could make AI much more accessible.
Dueling neural networks. Artificial embryos. AI in the cloud. Welcome to our annual list of the 10 technology advances we think will shape the way we work and live now and for years to come.
Blockchain offers a route to a true scholarly commons.
Spending on research projects on blockchain technologies by the European Union is to jump after it announced plans to increase funding from €83 million to as much as €340 million by 2020.
As someone who often finds himself explaining machine learning to non-experts.
Blockchain could lend security measures to the scientific process, but the approach has its own risks.
Everipedia, a two-year-old online encyclopedia, will become a decentralized, peer-to-peer, user-owned resource.
The digital currency is slowing our effort to achieve a rapid transition away from fossil fuels.
New technologies like artificial intelligence, self-driving vehicles and the internet of things could be used to reduce the widening economic gulf that is emerging in modern societies.
The OECD has just released a comprehensive report on Science, Technology and Industry for 2017. So how is France doing?
The cost of renewables is plunging faster than forecasters anticipated just a few years ago as as technologies like gigantic wind turbines arrive on the market.
A small community of scientists has taken a do-it-yourself approach to microscopy: when the right tool for the job doesn’t exist, make it.
Tool to scrutinize research papers identifies mistakes in gene sequences.
The Atlas humanoid robot from Boston Dynamics can now do backflips. That's one hell of a feat for a bipedal machine.
