Gather-Attend-Scatter (GATS), a novel module that combines pretrained foundation models operating at different rates into larger multimodal networks.
Paper: https://t.co/BMsWtuZTQ0
@kjgeras Jest parę polskich startupow, które mają potencjał, ale prawdopodobnie wiele z nich jeśli odniesie sukces zostanie kupionych przez większą rybę outside of PL.
Zgadzam się z drugim, koszty życia są dużo mniejsze, ale pozycji remote jest co raz więcej.
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. 💪
👉 https://t.co/OanOJ8XkSt
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.
👉 https://t.co/ekKkRtrOqR
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!📩👀
https://t.co/PMcgJZgikB
#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: https://t.co/TUjDbsiOnA
Paper: https://t.co/A7n9rGATdh
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: https://t.co/5i6ORACB8X