internet archive
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Keep your family's important information organized and encrypted for 49
Safety Net Creator Playbook Trending Now Mashable Selects Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Getting Technical with Mashable Gift Ideas For Everyone On Your List Say More Versus In My Bag Mashable @Home All Series Keep your family's important information organized and encrypted for $49 The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. When someone needs access to your important documents one day, you don't want them to dig through your emails and scramble through scraps of paper to find everything. The LegacyLocked Digital Estate Planning Vault gives you a single encrypted space to organize all the information your family might need.
Internet Archive, Wikipedia outages: What we know
Trending Now Mashable Selects Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Getting Technical with Mashable Gift Ideas For Everyone On Your List Say More Versus In My Bag Mashable @Home Top creators, ranked Creator Playbook All Series Wednesday morning was not a good one for the Internet Archive. Users are also reporting problems with Wikipedia. Alex Perry is a tech reporter at Mashable who primarily covers video games and consumer tech. Alex has spent most of the last decade reviewing games, smartphones, headphones, and laptops, and he doesn't plan on stopping anytime soon. He is also a Pisces, a cat lover, and a Kansas City sports fan.
Publishers are blocking the Internet Archive for fear AI scrapers can use it as a workaround
The Internet Archive has often been a valuable resource for journalists, from it's finding records of deleted tweets or providing academic texts for background research. However, the advent of AI has created a new tension between the parties. A few major publications have begun blocking the nonprofit digital library's access to their content based on concerns that AI companies' bots are using the Internet Archive's collections to indirectly scrape their articles. A lot of these AI businesses are looking for readily available, structured databases of content, Robert Hahn, head of business affairs and licensing for, told . The Internet Archive's API would have been an obvious place to plug their own machines into and suck out the IP.
The Morning After: Nintendo's latest hardware is not the Switch 2
We've been waiting and waiting, and Nintendo finally did the right thing and announced an entirely new piece of hardware. Alas, it's not a new console but a very Nintendo-looking smart alarm clock. The Alarmo has motion sensors that let you snooze it based on your movement. You'll also be able to check how much you move around while you sleep, and the clock has sleeping sounds and music to drift off to. You can set the clock's background with scenes inspired by the likes of Super Mario Odyssey, The Legend of Zelda: Breath of the Wild, Splatoon 3, Pikmin 4 and, er, Ring Fit Adventure.
The grassroots push to digitize India's most precious documents
"Getting access to many of our public libraries is so difficult, and after a point people will give up asking for access. That's the case in many of our public-funded educational institutes too," says Arul George Scaria, an associate professor at the National Law School of India University Bengaluru, who studies intellectual-property law. One of the best ways to liberate access to these libraries, he says, is through digitization. Technologist Omshivaprakash H L felt the acute lack of such resources when he needed references for writing Wikipedia articles in Kannada, a southwestern Indian language. Around 2019, he heard that Carl Malamud, who runs Public Resource, a registered US charity, was already archiving books like Gandhi's Hind Swaraj collection on Indian self-rule and works of the Indian government in the public domain.
Exploring Large Language Models for Classical Philology
Riemenschneider, Frederick, Frank, Anette
Recent advances in NLP have led to the creation of powerful language models for many languages including Ancient Greek and Latin. While prior work on Classical languages unanimously uses BERT, in this work we create four language models for Ancient Greek that vary along two dimensions to study their versatility for tasks of interest for Classical languages: we explore (i) encoder-only and encoder-decoder architectures using RoBERTa and T5 as strong model types, and create for each of them (ii) a monolingual Ancient Greek and a multilingual instance that includes Latin and English. We evaluate all models on morphological and syntactic tasks, including lemmatization, which demonstrates the added value of T5's decoding abilities. We further define two probing tasks to investigate the knowledge acquired by models pre-trained on Classical texts. Our experiments provide the first benchmarking analysis of existing models of Ancient Greek. Results show that our models provide significant improvements over the SoTA. The systematic analysis of model types can inform future research in designing language models for Classical languages, including the development of novel generative tasks. We make all our models available as community resources, along with a large curated pre-training corpus for Ancient Greek, to support the creation of a larger, comparable model zoo for Classical Philology. Our models and resources are available at https://github.com/Heidelberg-NLP/ancient-language-models.
🇺🇸 Machine learning job: Senior AI Research Scientist at Earth Species Project (work from anywhere!)
Senior AI Research Scientist at Earth Species Project Remote › Worldwide, 100% remote position (Posted Aug 3 2022) Job description The Earth Species Project (ESP) is a nonprofit organization dedicated to decoding animal communication and translating non-human language. ESP partners with biologists and machine learning researchers at universities and institutions around the world and we are honored to be supported by many forward-looking philanthropists and groups, including the Internet Archive, TED Audacious 2020, and the entrepreneur and author Reid Hoffman. Our work has been featured on NPR's Invisibilia documentary, "Two Heart Beats a Minute," "How to Talk to Animals" in Wall Street Journal's The Future of Everything, "The Challenges of Animal Translation" in the New Yorker, published in Scientific Reports, and was honored at the inaugural Anthem Awards. We aim to enable every person to more deeply understand our co-inhabitants on Earth and in doing so, to permanently alter human perspective and culture. Purpose of role You will join an incredible and global remote team, and will be responsible for developing pioneering research towards decoding and translating non-human communication, including extending unsupervised translation techniques and tackling cornerstone biological and computational problems on large-scale multimodal behavioral datasets.
Senior AI Research Scientist
The Earth Species Project (ESP) is a nonprofit organization dedicated to decoding animal communication and translating non-human language. ESP partners with biologists and machine learning researchers at universities and institutions around the world and we are honored to be supported by many forward-looking philanthropists and groups, including the Internet Archive, TED Audacious 2020, and the entrepreneur and author Reid Hoffman. Our work has been featured on NPR's Invisibilia documentary, "Two Heart Beats a Minute," "How to Talk to Animals" in Wall Street Journal's The Future of Everything, "The Challenges of Animal Translation" in the New Yorker, published in Scientific Reports, and was honored at the inaugural Anthem Awards. We aim to enable every person to more deeply understand our co-inhabitants on Earth and in doing so, to permanently alter human perspective and culture. You will join an incredible and global remote team, and will be responsible for developing pioneering research towards decoding and translating non-human communication, including extending unsupervised translation techniques and tackling cornerstone biological and computational problems on large-scale multimodal behavioral datasets.