In particular, I like the idea of merging multiple models derived with different techniques (robot's own sensors, simulation, etc.) to achieve something closer to general problem-solving capability. u/AnimaAnandkumar I want to clarify that tensors are not just theoretical curiousity. They are computationally tractable, in fact, they are embarrassingly parallel and computational complexity can be made just linear in input dimension with parallelization tricks. We can use optimized linear algebra libraries to do tensor operations efficiently. We have many papers on this and we also have. He also seems very aggressive on Twitter, blocking many people who might disagree with his views (probably the most famous being Anima Anandkumar who unlike him, is actually a very respected and top AI researcher). Read the latest Twitter threads from @AnimaAnandkumar on Thread Reader App! What people here are missing is to consider the underlying objective of researcher like Timnit Gebru and others (Anima Anandkumar). Their primary objective is not to fight for social justice, but their own individual success (get to the top). For context, Anima is well known to turn every single argument into one about women getting attacked and sexism to immunize herself against any criticism, no matter the topic. It's obnoxious, not helping her cause, and there is nothing to win engaging her. Her massive hypocrisy is that she will then turn around and again criticize men for treating women differently out of fear for any. 131K subscribers in the Automate community. A place for the discussion of automation, additive manufacturing, robotics, AI, and all the other tools… Here's a short and incomplete summary of the lead-up to Anima Anandkumar's cancellation list. Focusing mostly on the time since she started to go after Pedro Domingos since it's most recent and illustrative. 1/n There is too much to cover and many of the original conversations have been deleted. u/AnimaAnandkumar Tensor methods are very powerful for unsupervised learning since they incorporate higher order moments in data. While matrices represent pairwise relationships, tensors are need to represent higher order moments. What we have shown is that we cannot learn about hidden variables using just pairwise moments and we require higher order moments to identify these latent factors. 1.4M subscribers in the nvidia community. A place for everything NVIDIA, come talk about news, drivers, rumors, GPUs, the industry, show-off your….