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.
SpaceX launched its first all commercial-crew mission to the International Space Station on Friday. Cheddar News speaks with Jim Cantrell, CEO and President of Phantom Space Corporation why this launch is a big leap for space tourism.
Nautilus Labs closed $34 million in funding from investors including the Microsoft Climate Innovation Fund. The company plans to use its funding to improve shipping industry efficiency with its software. Nautilus CEO Matt Heider joined Cheddar News to talk about how it tackles the carbon emissions in the global supply chain. "We've seen on 10-day voyages saving $60,000 worth of fuel just by managing speed with greater confidence around the future. The environmental impact of that is also huge," he said. "Saving that amount of fuel is a kind of taking over 1000 cars off the road this year."
A Glassdoor study reports that internship programs at companies like Roblox, Uber, and Salesforce offered the highest compensation levels in 2020 — nearly $10,000 a month. Daniel Zhao, a senior economist at Glassdoor, joined Cheddar News to talk about why big tech companies are paying top dollar for their interns. "I think what we're seeing is that companies are pushing more aggressively to engage with these candidates before they’ve even graduated, really because of the level of competition that they are facing, especially for these very high-value STEM graduates," he said.
Dubbed the "Ethereum Killer," Solana is known for its super-fast, low-cost transactions, which has proven attractive to defi companies looking to scale up quickly.
