Tag: software development
Mistral AI Unveils Codestral, Its First GenAI Model For Developers
Mistral AI, one of Europe’s premier artificial intelligence startups, has marked its entry into the programming and development space with the launch of Codestral, an open-weight generative AI model explicitly designed Read more…
Anaconda Unveils PyScript, the ‘Minecraft for Software Development’
During his keynote at PyCon 2022, Anaconda CEO Peter Wang unveiled a new project: PyScript. PyScript is described as a framework that uses a mixture of Python and standard HTML to allow users to create Python applicat Read more…
Program Synthesis Moves a Step Closer to Reality
As data scientists and software developers sort through the plethora of tools and APIs ranging from Python to Apache Spark, automation schemes are emerging to help programmers navigate those tools and the accompanying in Read more…
SnapLogic Adds GitHub, Container Support
More vendors are offering new integration tools for meeting growing enterprise demand for faster delivery of application software. Among the approaches is automating key elements of the continuous integration and continu Read more…
What Lies Beneath Development
The world is all abuzz talking about big data and using analytics to help improve business results. Ironically, software teams rarely use data to analyze and improve their own processes. Many internal software teams toda Read more…
Software Development Strategies for the Age of Data
Being able to unlock the value in big data with the almost unlimited and economical processing power of modern commodity hardware is enough to make both technologists and business leaders drool – if the software pieces of the puzzle can catch up, says Actian CTO, Michael Hoskins. Hoskins says we've entered a wild west phase in the age of data. Read more…
Can Extragalactic Data Be Standardized? Part 2
Sebastien Foucaud and Nicolas Kamennoff co-authored the paper alongside Yasuhiro Hashimoto and Meng-Feng Tsai, who are based in Taiwan, laying out the TWEA-DC. They argue that since parallel processing is a relatively recent phenomenon, many programmers have not been versed in how to properly optimize their software. Read more…
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