back to article Microsoft open-sources Infer.NET AI code just in time for the weekend

The sharing of Microsoft’s toys continued today with the open-sourcing of its model-based machine-learning framework, Infer.NET. A team at Microsoft’s research centre in Cambridge, UK, kicked off development of the framework in 2004, and it was released for academic use in 2008. In Microsoft’s brave new world of AI, the …

  1. Paul Herber Silver badge

    I would so like Infer.NET to have someone on the team by the name of Dante.

    1. JetSetJim Silver badge
      Flame

      Re: Dante

      Are there seven levels of abstraction?

  2. DrBed

    Now we know who's behind last update fail.

  3. amanfromMars 1 Silver badge

    Some Internet Networking Things are Positively Terrorising* to Know?

    As AI software become ever more prevalent, explaining its behavior becomes ever more important. .... Richard Speed

    More important to whom and for what, Richard? More important to Mankind for the Running of SCADA Systems in an/the AIMachine?

    Or more important and vital for the AIMachines Running Mankind? ....... although of course, would both of those searching questions require a quantum leap of greater universal understanding for one to realise the simply complex virtualised nature of one's fleeting existence on this Earthly planet and be able to enable by any and all means and memes to driver IT and AI in any particular and/or peculiar direction of one's choosing.

    Methinks a more interesting and engaging current question is ..... Where is IT initially to be Securely Safe Harboured? In an Exotic Erotic Eastern Confection or Wild Wacky Western Delight for Private and Personal and Top Secret Pirate Confidential Use ....... which One can Only Really Just Hope doesn't Dabble and Descend into Rampant Misuse and Rabid Abuse?

    * :-) and Terrific TitanICQ Alien Territory Too for All Those with That In the Know.

  4. amanfromMars 1 Silver badge

    WTF ...... By Stealthy AIDefault ...... Novel Virtualised Beta MetaData Path Finder Ways*

    Is No Disagreement Effectively Tantamount to the Inevitable Greater General Acceptance of such Facts for Portal Entry into AIMachinedD Systems ..... where Everything for Anything is Delivered Possible and Guaranteed Probable and Timely ...... especially for those Deep Cyber Space Programs Saving Terrestrial Servers Just in the Nick of Time. :-) ...... both for and from Collapsing SCADA Systems?

    * .....Essentials for Advancing IntelAIgents on NEUKlearer HyperRadioProACTivatedD IT Cyber Space AIMissions ........ Universal Flights of Absolutely Fabulous Fantasy for Turning and Tuning into Future Undeniable Fact.

    What Price that Initial Private Pirate Offering to Rightly Interested Markets? A Pretty Penny and More than a Fortune or a False Charge of Almighty Fake VapourWare?

    vcc ..... Elon Musk/Sir Richard Branson/Wang Jianlin/No10/Vladimir Putin

    And just in case you be asking, there is no such thing as a bvcc facility ..... blind virtual carbon copy utility ..... and that Instantly Guarantees Full Transparency for Security of Interesting Future Interested Parties with Investments to Honour with Enlightened Placing. ....... Safe Harbour Resting in an Almighty Escrow Account for Further Generation of Interest to Deliver Profit for Spending in Support and Supply of Successful Future Immaculate Raw Core Source Materiel to Follow and Help Build Brave New Worlds Upon. :-)

    It's about the nearest thing you'll get towards a free and fair open democracy nowadays in Ye Olde 0Days of AIMeritocracies.

  5. Michael Wojcik Silver badge

    Infer.NET book

    People interested in ML should take a look at the first link in the article. It goes to a Microsoft blog post that has quite a bit more information about Infer.NET (which has been available for academic use for ten years, by the way, and has been studied pretty extensively), and that links to a free ebook.

    I've just started skimming through the book, and it seems quite good, at least in terms of explaining the concepts. I know most of the Reg readership is content to sneer at ML and toss out some clichéd comment to prove that they've paid no attention to the field in decades, but anyone interested in actually learning a bit (even to formulate stronger arguments about the failings of ML) who hasn't been following the research ought to take a look at the book.

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