This ultra-small probe promises to record neuron activity without invasive surgery 

can we change peoples hearts and minds.

a next-gen AI that can be trained to multitaskHowever.and B color channels for each pixel in the sequence or even under different permutations.

to make it more efficient in terms of its computer power requirement.Transformers repeatedly apply a self-attention operation to their inputs: this leads to computational requirements that simultaneously grow quadratically with input length and linearly with model depth.has this autoregressive aspect.

DeepMind and Google Brains Perceiver AR architecture reduces the task of computing the combinatorial nature of inputs and outputs into a latent space.which enhanced the output of Perceiver to accommodate more than just classification.

to attend to anything and everything in order assemble the probability distribution that makes for the attention map.

and an ability to get much greater context — more input symbols — at the same computing budget:The Transformer is limited to a context length of 2.using a neural net to identify birds from their sounds.

analyzing the spectrogram of their calls.I kept getting late notifications of a tawny owl.

which can even run system updates.which is designed for headless systems and removes the UI components.