Based on our record, Testimonial.to should be more popular than Apple Machine Learning Journal. It has been mentiond 9 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.
Damon had previously developed a SaaS tool called testimonial.to. It gained attention when a prominent influencer shared it on Twitter. Source: 7 months ago
What gave rise to so many similar platforms being launched at the same time? Testimonial.to was the first to come with the video concept in the indie world. Did the rest just copy them? Source: about 1 year ago
My app B2B one way video interview microSaaS hirevire.com is has reviews on Appsumo and our website directly (collected and hosted using testimonial.to), but recently we've listed on B2B alternatives websites like Capterra, G2 and Trustpilot. Our long standing competitors have a lot of reviews on each of these along with their website directly. Source: over 1 year ago
Here's the best alternative to Usetrust.io 👉 Testimonial.to. Source: over 1 year ago
Great write up. Have you come across this site yet? https://testimonial.to/. Source: about 2 years 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: about 1 year 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 / about 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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