Awesome, not awesome.
#Awesome
“Reading minds has just come a step closer to reality: scientists have developed artificial intelligence that can turn brain activity into text. While the system currently works on neural patterns detected while someone is speaking aloud, experts say it could eventually aid communication for patients who are unable to speak or type, such as those with locked in syndrome. “We are not there yet but we think this could be the basis of a speech prosthesis,” said Dr Joseph Makin, co-author of the research from the University of California, San Francisco.” — Nicola Davis, Reporter Learn More from The Guardian >
#Not Awesome
“With an iPhone, you can dictate a text message. Put Amazon’s Alexa on your coffee table, and you can request a song from across the room. But these devices may understand some voices better than others. Speech recognition systems from five of the world’s biggest tech companies — Amazon, Apple, Google, IBM and Microsoft — make far fewer errors with users who are white than with users who are black, according to a study published Monday in the journal Proceedings of the National Academy of Sciences.” — Cade Metz, Reporter Learn More from The New York Times >
What we’re reading.
1/ There are many ways that AI systems can bed used to combat Covid-19, but we must insist on it being used in ethical and responsible ways. Learn More from TechCrunch >
2/ Privacy advocates hoped a bill signed in Washington would limit the government’s ability to use facial recognition technology — in practice the bill will do little to protect civil liberties. Learn More from OneZero >
3/ AI tools are being used to shine a light on how the media uses gendered language to describe candidates — and the impacts it has on their electability. Learn More from The Guardian >
4/ Hospitals use AI bots and online screenings to prevent hotlines and emergency rooms from being overwhelmed by patients. Learn More from Harvard Business Review >
5/ Neuroscientists find a new way to use AI to detect a mouse’s emotions from its facial expressions. Learn More from Nature >
6/ Google teaches a robotic dog tricks by having it imitate the movements of a real dog. Learn More from MIT Technology Review >
7/ A new study calls into question a machine learning model’s ability to predict the outcome of children’s lives — a policymakers should take notice. Learn More from MIT Technology Review >
Links from the community.
“Swift: Google’s bet on differentiable programming” submitted by Lucía Aguilar. Learn More from Tryo Labs >
“Peer Reviewing Data Science Projects” by Shay Palachy. Learn More from Towards Data Science >
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