Google Street View Gives a Glimpse into Power of A.I.
The power of A.I. can reach deeper than just recommending which show to binge on Netflix. It can also be used to analyze millions of images to predict things like income, political leanings, and buying habits. Steve Lohr, Technology and Economics Reporter at The New York Times, joined us to discuss artificial intelligence's full potential when it comes to predictive analytics.
Lohr's recent piece in The New York Times highlights a Stanford study that used 50 million images from Google Street View to give a glimpse of A.I.'s ability to gather data. He explains that researchers identified 22 million cars to draw conclusions about information such as which political candidate a particular zip code favored. The project took just 2 weeks to classify all the cars. In his piece, Lohr points out that without the help of AI, it would take human experts over 15 years to accomplish that task.
This type of data collection raises concerns over privacy and issues of data access. He says most of predictive analysis has been used for commercial purposes and selling products. The use of data becomes scary when it becomes integrated into decisions such as hiring, he says, because the mistakes become more costly.
Parallel Systems has been selected to receive $4.5 million from the Department of Energy for an advanced testing program of its autonomous, battery-electric rail vehicles. The startup, which has raised more than $53 million to date, was founded by former SpaceX engineers to reimagine the rail system by creating a more efficient, decarbonized freight network. Matt Soule, Co-founder & CEO of Parallel Systems, joined Cheddar's Opening Bell to discuss what the company hopes to achieve.
A bipartisan bill introduced by U.S. Senators Amy Klobuchar (D-MN) and Cynthia Lummis (R-WY) aims to tackle the spread of misinformation on social media platforms, as well as the addictive nature of the sites and negative mental health impacts they have on users. The 'Nudge Act' would require studies to find and compile potential interventions that platforms could use to encourage people to think before they share a post, or log off after spending too much time on an app. The FTC would create rules based on these findings, and hold the platforms accountable. But will it work? Jesse Lehrich, co-founder of Accountable Tech, joins Closing Bell to discuss the bill, whether real results and regulations could come from it, and more.
A.I.-based entertainment company, Deedub, recently raised
$20 million in a Series A round, led by Insight Partners. Deepdub uses A.I. technology to automate the dubbing process for foreign-language movies or TV shows, while using actors' original voices. The company says it can take just two to three minutes of data from an actor's voice and transform the voice into a different language. The funding comes as foreign-language films and shows like Netflix's 'Squid Game' have recently become more popular with audiences in the U.S. and around the world. Oz Krakowski, Chief Revenue Officer at Deepdub, joins Cheddar News' Closing Bell to discuss.
