Stanford: Stanford helped pioneer artificial intelligence. Now the university wants to put humans at its center.

Washington Post: Stanford helped pioneer artificial intelligence. Now the university wants to put humans at its center.. “A Stanford University scientist coined the term artificial intelligence. Others at the university created some of the most significant applications of it, such as the first autonomous vehicle. But as Silicon Valley faces a reckoning over how technology is changing society, Stanford wants to be at the forefront of a different type of innovation, one that puts humans and ethics at the center of the booming field of AI.”

“The brain is just so amazing:” New Instagram video series explains neuroscience (Stanford Medicine)

Stanford Medicine: “The brain is just so amazing:” New Instagram video series explains neuroscience. “Many people make New Year’s resolutions to exercise more or eat healthier. Not Stanford neurobiology professor Andrew Huberman, PhD. This year, he set out to educate the public about exciting discoveries in neuroscience using Instagram. Huberman’s sights are high: he pledged to post on Instagram one-minute educational videos about neuroscience an average of five times per week for an entire year. I recently spoke with him to see how he’s doing on his resolution.”

Stanford Libraries: Historic Standard Hour Radio Broadcasts Now Accessible in Searchworks

Stanford Libraries: Historic Standard Hour Radio Broadcasts Now Accessible in Searchworks. “The Archive of Recorded Sound, in collaboration with the Stanford Media Preservation Lab, recently completed the digitization and cataloging of 684 analog recordings of The Standard Hour radio broadcasts that occurred between 1938 and 1955.”

Slashgear: DeepSolar Project uses machine learning, satellite imagery to calculate US solar panels

Slashgear: DeepSolar Project uses machine learning, satellite imagery to calculate US solar panels. “As the use of renewable energy, in this case solar power, continues to rise in the US, there’s also a growing need to better understand not just how much of the country’s energy comes from solar, but also how many solar panels are in use and where they are installed. While the government and utilities can offer estimates on commercial installations, the lack of data on individual residential installations makes these inaccurate. That’s where Stanford University’s DeepSolar Project aims to help.”

Stanford: Stanford Libraries’ transformative gift creates hub highlighting Silicon Valley history

Stanford: Stanford Libraries’ transformative gift creates hub highlighting Silicon Valley history. “Exhibition areas will be located throughout Hohbach Hall and feature such items from the Silicon Valley Archives as design documents and drawings for Douglas Engelbart’s first computer mouse prototype and early audio and video recording technology from the Ampex Corp. collection. The spaces will allow staff to curate and display, in physical and digital forms, documents, photographs, equipment and ephemera from some of Silicon Valley’s largest companies.”

Stanford PACS: Glasnost! Nine Ways Facebook Can Make Itself a Better Forum for Free Speech and Democracy

Stanford PACS: Glasnost! Nine Ways Facebook Can Make Itself a Better Forum for Free Speech and Democracy. “Facebook could make nine ‘incremental’ changes to ensure it becomes a better forum for free speech and democracy, according to a new report by academics at the University of Oxford in the UK and Stanford University in the US. Proposals include: an external appeals body; more user control over News Feeds; and better content review and fact-check mechanisms.” The report is available for free download at this link.

Tech Xplore: Team locates nearly all US solar panels in a billion images with machine learning

Tech Xplore: Team locates nearly all US solar panels in a billion images with machine learning. “Knowing which Americans have installed solar panels on their roofs and why they did so would be enormously useful for managing the changing U.S. electricity system and to understanding the barriers to greater use of renewable resources. But until now, all that has been available are essentially estimates. To get accurate numbers, Stanford University scientists analyzed more than a billion high-resolution satellite images with a machine learning algorithm and identified nearly every solar power installation in the contiguous 48 states.”