Unimportant emails, meanwhile, can be blocked automatically as Mailman can block newsletters, notifications and emails from senders you’ve never interacted with before. And it’s GDPR-compliant - meaning you can delete all your data permanently with a click of a button. Mailman additionally claims to encrypt the data it stores in its database, on servers located in the U.S., Canada and India. It also claims to only read the timestamp, sender’s address and subject line, not the body of your emails, when it assists you in managing your inbox. But arguably, any truly sensitive material shouldn’t be moving over email to begin with, as any security expert would tell you.įor what it’s worth, Mailman says it doesn’t store any data that’s not directly used by the customer in the Mailman interface and it doesn’t monetize your email data - the way that Gmail itself does. Anyone with sensitive information in their inbox may not want to grant a third party access to manage their email inbox. That latter permission is worth noting and considering carefully. You also give Mailman the ability to view and modify but not delete email. The service works by authenticating with your Google account, where you give it permission to manage mailbox labels as well as basic email settings (like moving mail to a snoozed folder). They just want to tame their existing inbox. “Every day, people in our organization are thinking of new ways to apply machine learning to new facets of robotics, data processing and image handling,” Schimmel said.The service is the latest in a long line of email startups that have arrived over the years, promising an upgraded email experience - the most recent being Basecamp’s Hey, a new app offering a hosted email service with an expanded set of tools to declutter your inbox.īut many people don’t want to switch to a new email platform or client app, and they don’t generally want to adopt a new email address. “Edge AI solutions also provide greater security protections.”ĮCIP and the apps being developed for the system play into USPS’s broader effort to make better use of the data it collects to both improve its efficiency and save taxpayer dollars.ĭespite the progress USPS has made, edge AI remains a nascent technology. “Because edge computing processes data locally, instead of in the cloud or a data center, it minimizes latency and bandwidth needs - allowing for real-time feedback and decision-making,” said the spokesperson. “The models we have deployed so far help manage the mail and the Postal Service - it helps us maintain our mission,” said Todd Schimmel, manager of letter mail technology at USPS, in a statement.īut various USPS components ranging from enterprise analytics to finance and marketing have proposed the nearly 30 ECIP apps currently being considered.ĪI apps require the real-time computing ECIP affords for large amounts of data. The forthcoming OCR use case will live as a deep-learning model in an ECIP container managed by Kubernetes and served by Triton, rather than requiring standalone IT infrastructure or a public cloud service. NVIDIA’s Triton Interference Server functions like an automated digital mail person delivering AI and machine learning models when and how each of the sites needs them. “ECIP also enables rapid application deployment new capabilities, that previously would have taken months, can be deployed in as little as two weeks.”ĮCIP runs on the NVIDIA EGX platform across 195 USPS sites after most of the necessary hardware was finished in August, and already added a second computer vision app. “Missing packages that used to take eight or 10 people several days can now be tracked down by one person in a couple of hours,” an NVIDIA spokesperson told FedScoop. Not only can the distributed edge AI system’s seven algorithms process 231 packages a second, but one is even capable of reverse image searching the 100 million packages USPS sees daily. In three weeks, USPS Senior Data Scientist Ryan Simpson and six NVIDIA architects designed deep-learning models capable of analyzing the billions of images generated by processing centers equipped with edge AI servers. Postal Service is considering about 30 artificial intelligence applications for the Edge Computing Infrastructure Program (ECIP) developed in 2020.Īpps using optical character recognition (OCR) to streamline imaging workflow, automatically checking if packages have the right postage and deciphering damaged barcodes could all launch before summer.
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