<story><title>Facebook drops funding for interface that reads the brain</title><url>https://www.technologyreview.com/2021/07/14/1028447/facebook-brain-reading-interface-stops-funding/</url></story><parent_chain></parent_chain><comment><author>AussieWog93</author><text>&amp;gt;Chang’s team asked Bravo-1 to imagine saying one of 50 common words nearly 10,000 times&lt;p&gt;I dropped out of a PhD back in 2018 all about the application of Machine Learning to Neurosignal Decoding, and that quote just perfectly sums up everything wrong with the state-of-the-art approach.&lt;p&gt;A bizarre prompt, an infeasibly boring task, and they somehow magically expect a machine learning to smooth everything over despite the fact that the subject isn&amp;#x27;t even generating a consistent signal to start with.</text></comment>
<story><title>Facebook drops funding for interface that reads the brain</title><url>https://www.technologyreview.com/2021/07/14/1028447/facebook-brain-reading-interface-stops-funding/</url></story><parent_chain></parent_chain><comment><author>josh_today</author><text>Misleading title, it’s more of a delay according to Facebook’s quote in the article:&lt;p&gt;“While we still believe in the long-term potential of head-mounted optical [brain-computer interface] technologies, we’ve decided to focus our immediate efforts on a different neural interface approach that has a nearer-term path to market,” the company said.</text></comment>