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Splash House Announces June 2022 Weekend Lineup

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Today, summer festival series Splash House has announced the artist lineup for the first of its newly expanded triple weekend season in 2022. Celebrating its ninth edition, Splash House has established itself as a perennial favorite in the summer festival calendar, fusing forward-thinking electronic music, poolside partying, and resort amenities with the desert landscapes of Palm Springs. Splash House is now set to make a return to desert for an expanded three weekends this summer, taking place June 10-12, August 12-14, and August 19-21.

June attendees will be treated to a lineup that reflects the constant evolution of modern dance music, bringing together a mix of industry titans and emerging acts from around the world.

Artists announced for the June weekender include dance music’s most electrifying figures, such as Higher Ground and Mad Decent superstar Diplo, a DJ set from in demand Compton act and versatile beatsmith Channel Tres, and house hitters Dombresky and Noizu teaming up for a back to back set. Top billing continues with a DJ set from Sydney’s triple platinum tastemaker Hayden James, a b2b set from melodic dance producers Manila Killa and Chet Porter, electronica star Fort Romeau and groove-heavy house duo Walker & Royce.

All shades of house music in addition to crossover electronic live acts will be present throughout the weekend, including a mix of household names and emergent favorites. This includes the future-funk productions of Yung Bae, the infectious sounds of Dutch brother-sister duo Shermanology, a live set from emotive indie electronic singer and producer Shallou, bass-heavy house star Hannah Wants, and bonafide Chicago legend Gene Farris. The next generation will come proper to Splash House as well, repped by rising Australian record producer Kito, melodic house and downtempo producer Jerro, and singer-songwriter and producer Pauline Herr among many others.

By night, attendees can experience After Hours programming at the Palm Springs Air Museum while enjoying an open-air dance floor and witnessing artists perform alongside historic airplanes, all backdropped by the San Jacinto Mountains. This location has become a staple of the Splash House experience, while also hosting the debut of Desert Air last December. UK hitmaker Duke Dumont and progressive house favorite Yotto have been announced as the headliners, set to carry the day party into the after party at the air museum.

Attendees will again be spread across three resort venues, the Renaissance, Margaritaville, and Saguaro Hotels, which each have their own distinct feel transporting fans to multiple eras of Palm Springs aesthetic history all within the festival footprint.

It remains Splash House’s style-forward and fun-loving community that makes the event what it is. A hideaway from the urban sprawl of Los Angeles, Splash House fosters an environment fit for music fans, fashionistas, travelers, and those seeking a different kind of festival.

All currently available pass types and hotel package options can be viewed at splashhouse.com. GA passes for the June edition start at $189. Guests must be 21+ in order to purchase.

Splash House June 10-12 Lineup:
Diplo
Channel Tres (DJ Set)
Dombresky b2b Noizu
Hayden James (DJ Set)
Walker & Royce
Yung Bae
Manila Killa b2b Chet Porter
AmyElle
Curt Reynolds
Fort Romeau
Gene Farris
Hannah Wants
J. Worra
Jerro
Kaivon
Kito
Kyle Walker
LASZEWO
Major League DJz
Maximo
Maxinne
Monki
Pauline Herr
Roosevelt (DJ Set)
Sahar Habibi
Shallou (Live)
Secondcity
Shermanology
Tom & Collins
Young Franco

AFTER HOURS AT THE AIR MUSEUM
Duke Dumont
Yotto

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Meta’s AI AI machine translation research helps break language barriers

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Today, Meta announced that it has built and open sourced ‘No Language Left Behind’ NLLB-200, a single AI model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results. Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia.

 

In an effort to develop high-quality machine translation capabilities for most of the world’s low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective. AI models require lots and lots of data to help them learn, and there’s not a lot of human translated training data for these languages. For example, there’s more than 20M people who speak and write in Luganda but examples of this written language are extremely difficult to find on the internet.

 

We worked with professional translators for each of these languages to develop a reliable benchmark which can automatically assess translation quality for many low-resource languages. We also work with professional translators to do human evaluation too, meaning people who speak the languages natively evaluate what the AI produced. The reality is that a handful of languages dominate the web, so only a fraction of the world can access content and contribute to the web in their own language. We want to change this by creating more inclusive machine translations systems – ones that unlock access to the web for the more than 4B people around the world that are currently excluded because they do not speak one of the few languages content is available in.

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“It’s impressive how much AI is improving all of our services. We just open-sourced an AI model we built that can translate across 200 different languages — many of which aren’t supported by current translation systems. We call this project No Language Left Behind, and the AI modelling techniques we used are helping make high quality translations for languages spoken by billions of people around the world. To give a sense of the scale, the 200-language model has over 50 billion parameters, and we trained it using our new Research SuperCluster, which is one of the world’s fastest AI supercomputers. The advances here will enable more than 25 billion translations every day across our apps. Communicating across languages is one superpower that AI provides, but as we keep advancing our AI work it’s improving everything we do — from showing the most interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping our services safe for everyone,” said Meta CEO Mark Zuckerberg in a post on his Facebook profile.

 

Language is our culture, identity, and lifeline to the world. However, as high-quality translation tools don’t exist for hundreds of languages, billions of people today can’t access digital content or participate fully in conversations and communities online in their preferred or native languages. This is especially true for hundreds of millions of people who speak the many languages of Africa.

 

“Africa is a continent with very high linguistic diversity, and language barriers exist day to day. We are pleased to announce that 55 African languages will be included in this machine translation research, making it a major breakthrough for our continent,” Balkissa Ide Siddo, Public Policy Director for Africa said while speaking about the launch of the AI model. “In the future, imagine visiting your favourite Facebook group, coming across a post in Igbo or Luganda, and being able to understand it in your own language with just a click of a button – that’s where we hope research like this leads us. Highly accurate translations in more languages could also help to spot harmful content and misinformation, protect election integrity, and curb instances of online sexual exploitation and human trafficking.”

 

While commenting on accessibility and inclusion in the pursuit of building an equitable metaverse, Ide Siddo added “At Meta, we are working today to ensure that as many people as possible will be able to access the new educational, social and economic opportunities that the next evolution of the internet will bring to future technology and an everyday living experience tomorrow.”

 

To confirm that the translations are high quality, Meta also created a new evaluation dataset, FLORES-200, and measured NLLB-200’s performance in each language. Results revealed that NLLB-200 exceeds the previous state of the art by an average of 44 percent.

 

Meta is also open-sourcing the NLLB-200 model and publishing a slew of research tools to enable other researchers to extend this work to more languages and build more inclusive technologies. Meta AI is also providing up to $200,000 of grants to non-profit organizations for real world applications for NLLB-200.

 

There are versions of Wikipedia in more than 300 languages, but most have far fewer articles than the 6+ million available in English. Following Meta’s partnership with the Wikimedia Foundation, the non-profit organization that hosts Wikipedia and other free knowledge projects, modelling  techniques and learnings from the NLLB research are now also being applied to translation systems used by Wikipedia editors. Using the Wikimedia Foundation’s Content Translation Tool, articles can now be easily translated in more than 20 low-resource languages (those that don’t have extensive datasets to train AI systems), including 10 that previously were not supported by any machine translation tools on the platform.

 

To explore a demo of NLLB-200 showing how the model can translate stories from around the world, visit here. You can also read the research paper here.

 

 

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