Teachable Machine is an experiment from Google to bring a no-code and low-code approach to training AI models. Anyone with a modern browser and webcam can quickly train a model with no prior knowledge or experience with AI. Read More
#big7, #transfer-learningTag Archives: Big7
AI is wrestling with a replication crisis
Tech giants dominate research but the line between real breakthrough and product showcase can be fuzzy. Some scientists have had enough.
Last month Nature published a damning response written by 31 scientists to a study from Google Health that had appeared in the journal earlier this year. Google was describing successful trials of an AI that looked for signs of breast cancer in medical images. But according to its critics, the Google team provided so little information about its code and how it was tested that the study amounted to nothing more than a promotion of proprietary tech.
“We couldn’t take it anymore,” says Benjamin Haibe-Kains, the lead author of the response, who studies computational genomics at the University of Toronto. “It’s not about this study in particular—it’s a trend we’ve been witnessing for multiple years now that has started to really bother us.” Read More
Can I Stop Big Data Companies From Getting My Personal Information?
I am going to answer this one right here in the intro: no, you can’t. In 2020, it is hard to just to go to the grocery store without inadvertently surrendering 40 or 50 highly personal data-points on the walk over. Go ahead, delete your Facebook—it makes no difference. It wouldn’t make a difference if you’d never had one in the first place—as we know, Facebook has enough data to build “shadow profiles” for those who, somehow, have never joined the site. We’re at the stage of harm reduction, pretty much—trying at least to limit Big Data’s file on us. For this week’s Giz Asks, we reached out to a number of experts for advice on how we might go about doing that. Read More
This incredible Google experiment lets you time travel to your hometown 200 years ago
In the 20 years he’d lived in New York, Raimondas Kiveris had seen the city change immensely. “It was a completely different place, a different town,” says Kiveris, a software engineer at Google Research. This got him wondering what his neighborhood looked like even before that—before he’d lived there, before he’d even been born. “There’s really no easy way to find that information in any organized way,” he says. “So I was starting to think, can we somehow enable this kind of virtual time travel?”
Thee years later, his attempt at virtual time travel is taking shape as an open-source map that can show, in both a bird’s-eye view and a pedestrian-level view, the changes that happen to city streetscapes over time. Read More
Microsoft’s new Lobe app lets anyone train AI models
Google, Cambridge, DeepMind & Alan Turing Institute’s ‘Performer’ Transformer Slashes Compute Costs
It’s no coincidence that Transformer neural network architecture is gaining popularity across so many machine learning research fields. Best known for natural language processing (NLP) tasks, Transformers not only enabled OpenAI’s 175 billion parameter language model GPT-3 to deliver SOTA performance, the power- and potential-packed architecture also helped DeepMind’s AlphaStar bot defeat professional StarCraft players. Researchers have now introduced a way to make Transformers more compute-efficient, scalable and accessible. Read More
IBM AI model predicts onset of Alzheimer’s disease by analyzing descriptions of a cookie theft
A new AI model can predict the onset of Alzheimer’s disease more accurately than standard clinical techniques by analyzing how people describe a picture of a cookie theft, according to a new study. Read More
How Google Is Using AI & ML To Improve Search Experience
Recently, the developers at Google detailed the methods and ways they have been using artificial intelligence and machine learning in order to improve its search experience. The announcements were made during the Search On 2020 event, where the tech giant unveiled several enhancements in AI that will help to get search results in the coming years. Read More
#nlp, #big7Facebook’s new polyglot AI can translate between 100 languages
The model, a culmination of various automated and machine learning techniques, is being open-sourced to the research community.
Facebook is open-sourcing a new AI language model called M2M-100 that can translate between any pair among 100 languages. Of the 4,450 possible language combinations, it translates 1,100 of them directly. This is in contrast to previous multilingual models, which heavily rely on English as an intermediate. A Chinese to French translation, for example, typically passes from Chinese to English and then English to French, which increases the chance of introducing errors. Read More
Facebook’s open source M2M-100 model can translate between 100 different languages
Facebook today open-sourced M2M-100, an algorithm it claims is the first capable of translating between any pair of 100 languages without relying on English data. The machine learning model, which was trained on 2,200 language pairs, ostensibly outperforms English-centric systems on a metric commonly used to evaluate machine translation performance. Read More
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