Does this mean the work is useless? Absolutely not!
I believe both of these challenges are solvable.
At the very least, it indicates that there is a noninvasive signal present that can be extracted with AI, and now the right hardware setup needs to be figured out.
@Reddy_XX hard to estimate with OPMs specifically, which still have a high shielding requirement
there's great active shielding work from @MattBrookesMEG / @CercaMagnetics (matrix coils) but consumer-ready / no room seems unbounded
cool to see this getting the attention it deserves
i wrote about paths to scaling MEG a few months ago, along with comparisons to other neuroimaging modalities. link in thread!
We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.
Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain
To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and v2, and our partner, @bcbl_, is releasing the v1 dataset.
Learn more and explore the artifacts here: go.meta.me/42ed9c
When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.
Anthropic estimated that this would affect approximately 0.03% of traffic.
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232 Followers 899 FollowingResearcher at the University of Nottingham, developing wearable brain imaging systems. Also co-founder and scientific advisor to Cerca Magnetics Limited.
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Prev: cofounder @AdeptAILabs. Inventor of scratchpad / chain of thought, fuyu multimodal model
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