Within seconds, you've been scanned, stored, and tracked--before even reaching airport security. Without ever handing over your ID, the Transportation Security Administration (TSA) already knows exactly who you are. This is happening at 84 airports across the US. And chances are, you didn't even notice. Marketed as a tool to enhance security, TSA's facial recognition system is drawing criticism for its potential to track Americans from the terminal entrance to their final destination.

With each passing day, machine learning's business implications are becoming clearer. Machine learning is a branch of artificial learning in which systems identify patterns from data, learn from insights, and make autonomous decisions with very little human intervention. As the number of smart devices connected to internet increase, so will the data generated by them. This deluge of data is also known as Big Data, and machine learning applies complex algorithms to understand patterns in Big Data to make decisions. Machine learning can provide real-time insights based on data, giving businesses a competitive edge over their peers.

The Tokyo 2020 Olympics has everything to be a significant technological event. If we already had an appetizer of this during the presentation of the city as the next venue of the games during the closing of Rio 2016, little by little, more information comes to confirm this idea. The latest comes from the Japan Times website, which talks about the use of facial recognition technology during the event. Citing an anonymous source, the publication says that the organizers of the Tokyo 2020 Olympic Games will scan the face of everyone who is working on the games. This includes not only the event organization team but also athletes and media professionals.

With new hardware, software, and services optimized for AI and high performance computing (HPC), HPE wants to make it faster and easier for businesses and scientific organizations to use data-based insights to drive innovation. The HPE Apollo 6000 Gen10 System is the "most secure HPC system in the world," the release said, and it has been re-tooled to be able to provide more than 300 teraflops per rack. The HPE Apollo sx40 System and the HPE Apollo pc40 System are both Intel Xeon Gen10 servers, with support for different kinds of GPUs. The new experience brings boosted firmware security, performance software from HPE, cluster management, and additional service enhancements that will make it simpler for businesses to derive value from their AI tools.

Uber is using Microsoft Cognitive Services to offer Real-Time ID Check. Drivers verify their identity using selfies before they are able to accept rides.

Microsoft Research 8,554 views Uber lauches new security feature to curb driver fraud - Duration: 1:37.

Uber's new ID-check system will require drivers to confirm their identity with the ride-hailing company at the start of a shift by taking a selfie, which is then crossed reference to the driver's file photo leveraging Microsoft's cloud. SAN FRANCISCO -- Uber is rolling out a new feature Friday that will require drivers to confirm their identities via a selfie photo before each shift. Real-Time ID Check is aimed at both preventing fraudulent use of a driver's account and providing consumers with a greater degree of confidence in the ride-sharing company. "Driver account sharing or theft is a low-frequency problem right now, but when it happens it's a high-severity thing for us so it makes sense to put our security resources on it," Uber chief security officer Joe Sullivan tells USA TODAY. U.S. aims to tame'Wild West' of self-driving cars "We've been testing this new system with tens of thousands of drivers in the past months, and 99% of the time the photos match up," he says, adding that often the few rejected photos "were all about bad lighting."