You can use Walls.io at events, in shops, hotels, restaurants and offices, for your hashtag campaign, and even embed it on your website.
🔖 Tell your brand’s story with content aggregation 💎 Stay in control with automatic curation and moderation 🎨 Improve brand awareness with a custom feed 📺 Display your content anywhere, anytime ➡ GDPR & CCPA compliant solution
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We lately used it at a job fair and it was a huge draw. We also use it on an ongoing basis to show our social media presence quickly without having to pull up the individual platforms. All in all, I found it the quickest way to present what I wanted to a variety of audiences. It's a great social media engagement tool.
I like that we can curate content using both a hashtag and a social feed. Being able to combine content from more than one place keeps content fresh, and use of a hashtag makes posting easy for end-users.
Based on our record, Apple Machine Learning Journal should be more popular than Walls.io. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Awesome thing! We're adding Mastodon support to https://walls.io/ next week - will allow you to track hashtags and create a Mastodon social wall content feed to embed as widget on your website or run on a screen/display! Source: over 1 year ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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