Niatri semmo derê a fâ un neuvo Internet.

Amia e urtime inovaçioin — fæte con tecnòlogie averte e progetòu pe mantegnî Internet in bonn-a salute.

Pòrta a realtæ virtoale inta Ræ

Svilopatoî, designer e artisti peuan condividde esperiense de realtæ virtoale into web graçie a WebVR.

Pe saveine de ciù

Gh'é Firefox Quantum pe svilupatoî o l'é chi (e ciù veloce!)

A neuva ediçion de Firefox Developer Edition a l'à un fantastico motô CSS fæto in Rust. Piggitelo co-e fonçioin inovative comme CSS Grid Layout panel e framework debugging.

Pe saveine de ciù

Deuvia o Web pe cangiâ o mòddo de zeugâ

Con tecnòlogie Web potenti, inandiæ da Mozilla, i svilupatoî portan i zeughi a 'n âtro livello.

Cöse gh'é de neuvo

Derê a fâ l'internet de cöse

Niatri travagiemmo pe creâ 'n internet de cöse averto con software e serviççi che peuan colegâ diversci dispoxitivi conessi.

Iniçia

Costruimmo 'n navegatô ch'o te capisce

A proscima generaçion de l'esploraçion da Ræ o l'é 'n navegatô ciù intoitivo, utile e fæto pe ti.

Pe saveine de ciù

Inventemmo 'na lengoa de programaçion ciù segûa

Sponsorizou da Mozilla, Rust o permette a-o navegatô, scistemi e tanto atro d'anâ ciù veloce e seguo.

Descòvri Rust

Blog

Lezi e urtime dò-u blog tecnològico de Mozilla.

  • Rust 2018 is here… but what is it?

    Hacks

    Starting today, the Rust 2018 edition is in its first release. With this edition, we’ve focused on making Rust developers as productive as they can be. Most of the language changes are completely compatible with existing Rust code. Because they don’t break any code, they also work in any Rust code… even if that code doesn’t use Rust 2018. This is because of the way the language is evolving. Lin Clark illustrates and explains.

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  • LPCNet: DSP-Boosted Neural Speech Synthesis

    Hacks

    LPCNet is a new project out of Mozilla’s Emerging Technologies group — an efficient neural speech synthesiser with reduced complexity over some of its predecessors. Neural speech synthesis models have already demonstrated impressive speech synthesis quality, but their computational complexity has made them hard to use in real-time, especially on phones. Our solution with LPCNet uses a combination of deep learning and digital signal processing (DSP) techniques.

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