Discover topoteretes & cognee, revolutionary AI/ML concepts #AI #MachineLearning #CognitiveComputing

The article discusses topoteretes and cognee, emerging concepts in AI/ML research, focusing on spatial reasoning and cognitive architectures. Topoteretes, a term derived from topology and teretes, implies a new approach to geometric deep learning, while cognee represents a paradigm shift in cognitive computing. Although...

#topoteretes #cognee #geometricdeeplearning #cognitivecomputing

Discover topoteretes & cognee, the mysterious AI trends #AITrends #MachineLearning #Cognee

The article discusses the emerging trend of topoteretes and cognee, although it lacks specific details on their applications or technological advancements. Topoteretes, a term not widely recognized in the AI/ML community, may refer to a novel approach in geometric deep learning or a specialized neural network architecture....

#topoteretes #cognee #geometricdeeplearning #cognitivearchitectures

Really looking forward to this workshop! It will be cool to discuss what equivariance can do for robotics and what the geometric dl field can learn from robotics.

https://mobile.twitter.com/DianWang1007/status/1640423772426768384

#GeometricDeepLearning #Robotics #RSS2023

Our #ICLR2023 workshop on Physics4ML is open for submissions. Deadline: 3rd February.

Submit your work on physics-based ML, equivariance, etc here: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML

More info:
https://physics4ml.github.io/

https://mobile.twitter.com/tk_rusch/status/1610305901558210563

#Physics4ML #AI4Science #GeometricDeepLearning

We're organising a workshop on Physics for ML at #ICLR2023.

Submit your work on physics-based ML, equivariance, etc.

Site: https://physics4ml.github.io
OpenReview: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML

Deadline 3rd Feb.

https://twitter.com/tk_rusch/status/1603791044398702595

#Physics4ML #AI4Science #GeometricDeepLearning