“Nvidia uses AI to make it snow on streets that are always sunny”
“The sunny weather in California is ideal for training self-driving cars, but it does have its drawbacks.”
Read: Nvidia uses AI to make it snow on streets that are always sunny
“The sunny weather in California is ideal for training self-driving cars, but it does have its drawbacks.”
Read: Nvidia uses AI to make it snow on streets that are always sunny
“The sunny weather in California is ideal for training self-driving cars, but it does have its drawbacks.”
Read: Nvidia uses AI to make it snow on streets that are always sunny
“The sunny weather in California is ideal for training self-driving cars, but it does have its drawbacks.”
Read: Nvidia uses AI to make it snow on streets that are always sunny
“OAKLAND, Calif. — Last month I spoke at a gathering of African-American technology professionals. I’m a transactional lawyer at a tech company and my husband is an engineer, so the industry is at the center of our lives.”
“Facebook is using artificial intelligence to scan users’ posts for signs they’re having suicidal thoughts.”
Read: Facebook is using AI to spot users with suicidal thoughts and send them help
“There’s no lack of reports on the ethics of artificial intelligence. But most of them are lightweight—full of platitudes about “public-private partnerships” and bromides about putting people first.”
“The world’s most powerful information gatekeepers neglected their duties in Las Vegas. Again. In the crucial early hours after the Las Vegas mass shooting, it happened again: Hoaxes, completely unverified rumors, failed witch hunts, and blatant falsehoods spread across the internet.”
“For a few hours this morning, if you searched “Geary Danley,” the name that was erroneously identified by some as the shooter who killed more than 58 people in Las Vegas Sunday night, Google would present you with not one, but two 4chan threads.”
“Facebook and Google, two of world’s biggest and most influential companies, pride themselves on their ad businesses. These operations generate tens of billions of dollars per year, thanks in part to letting advertisers target even the most obscure microcommunities using unprecedented sets of data.”
Read: Facebook’s racist ad problems were baked in from the start
“Two weeks ago, a pair of researchers from Stanford University made a startling claim. Using hundreds of thousands of images taken from a dating website, they said they had trained a facial recognition system that could identify whether someone was straight or gay just by looking at them.”
Read: The invention of AI ‘gaydar’ could be the start of something much worse