As a concept, quantum computing is one of those topics that generates far more debate than actual usage. Not only are there quarrels about the applicability of different types of approaches to quantum computing; there’s still a fair amount of debate over whether quantum computing applications will prove to be all that much faster than conventional computing applications.
Scrazzl, social discovery platform for research materials, offers the Scrazzl API which grants developers access to research product information. Scrazzl develops tools that enable scientists to make informed decisions about research products and connect with other scientists to solve technical problems.
TipTap Lab uses psychology to better understand existing and potential customers. The TipTap Lab API allows third party apps to take advantage of such psychology by building profiles for those that interact with the app and acting accordingly. Whether an app developer wants to personalize an online experience or pair up users with similar interests, the TipTap Lab API examines the abstract, subconscious layer of users to better and enable a developer to accomplish goals.
DataDryad.org constitutes a general purpose repository of the data underlying scientific publications. DataDryad’s entire repository is discoverable through the Dryad DataONE API. The scientific and medical data of which the database is composed includes tables, spreadsheets, flatfiles, and more from peer-reviewed published papers.
The Coolclimate Calculator helps end users calculate their carbon footprint–and look at tools for reducing it. The API allows integration of the survey into third party apps.
Scientific journals are providing greater access to published research by releasing new APIs. Cambridge Journals Online API and Public Library of Science Article Level Metrics API have both been released in the past several weeks. Meanwhile, the European Commission has just completed a public consultation on open access to research data ahead of a new wave of policy reform and their next big research funding round.
All the major computing architectures in use today trace their lineage back to the pioneering work of mathematician John von Neumann. Developed from the 1930s through the 1950s, the theories put forth by von Neumann provided the foundation on which the ENIAC, the first general-purpose computer, were based. Subsequently, every system developed since then has relied on the same basic principles to deliver faster levels of computational performance.
Chemical Abstracts Service (CAS) has announced that the SciFinder interface now includes a series of APIs that allows researchers and developers to integrate SciFinder functionality and the CAS database with third party research tools and workflows. SciFinder constitutes the world’s largest chemistry database, and many scientist use the service to launch new research and as a reference check throughout the research process.
If math is about measurement, then Mathletics may have your child’s number. Much like games that post the best scores of players, the Mathletics SOAP API makes student scores accessible to programs as well as its website.
Here is an interview with Karthik Ram, who has co-created the rOpenSci project, which helps make REST APIs consumable by the R language. Developers can take note of this – R is one of the widely used statistical languages in the world, and has many GUIs for making advanced data mining easily available.