Gather-Attend-Scatter (GATS), a novel module that combines pretrained foundation models operating at different rates into larger multimodal networks.
Paper: arxiv.org/abs/2401.08525
Are you a #fullstackdeveloper looking for your next challenge? 🤔 Look no further!
We're looking for a senior full stack developer to join us and we promise an environment full of intellectually stimulating projects & job security for 18 months. 💪
👉 lnkd.in/eXSJvHN7
We're proud to have been featured on Best Startup Scotland's list of the Top #ArtificialIntelligence (AI) companies in Scotland. 🙌 🧡
From innovative startups to established institutions, the list celebrates the best of the best in the #AI sector.
👉 bit.ly/3GHcqIJ
Our CEO, @paul_alex_pop, wraps up 2022 & unveils our exciting plans for 2023!🙌
He shares our journey, his favourite success story, our objectives for 2023 & his predictions for the year ahead! 🚀
Let's open the envelope & look inside!📩👀
bit.ly/rltr2#YearInReview
Not sure if there is a name for (I think no) the feeling of a deep discomfort when the probability of an interruption is > 0 while trying to work. It’s a kind of fear.
Training deep neural networks on large 3D medical images is difficult.
We developed a deep neural network that focuses computation on suspicious regions, enabling learning from hundreds of millions of pixels.
Github: github.com/nyukat/3D_GMIC
Paper: arxiv.org/abs/2210.08645
1/8
Do you know that multi-modal DNNs trained with vanilla SGD favor one of the input modalities and yield limited generalization? Check our paper at #ICML2022 where we characterize this phenomenon quantitatively and provide methods to overcome it: arxiv.org/pdf/2202.05306
Automating the task of shelf auditing for Fast Moving Consumer Goods across the globe is a monumental task. 🛒 😱
Neurolabs is helping to make it simple. 💪 🤖 📱
bit.ly/3vSMTWc#fieldforcemanagement
DNNs perform well on a range of medical diagnosis tasks, but do they diagnose similarly to humans?
In breast cancer screening, DNNs use different features than radiologists. Some are spurious, while others may represent new biomarkers.
arxiv.org/abs/2011.14036
1/9
The rapidly changing demands of modern merchandising has made automation a necessity. 🤖
Neurolabs is enabling automation for Consumer Packaged Goods brands at unprecedented scale using Synthetic Computer Vision for mobile. 📱
bit.ly/3MA1rkx#fieldforcemanagement
Deep Learning has hit another wall. And apparently destroyed it. Large language models can now reason over arithmetic and jokes ai.googleblog.com/2022/04/pa…