In December 2015, we launched our Smart City Challenge, asking mid-sized cities across America to develop ideas for an integrated, first-of-its-kind smart transportation system that would use data, applications, and technology to help people and goods move more quickly, cheaply, and efficiently. The Challenge generated an overwhelming response: 78 applicant cities shared the challenges they face and ideas for how to tackle them. Then, our seven finalists worked with DOT to further develop their ideas.

With the publication of our report, "Smart City Challenge: Lessons for Building Cities of the Future," we are making good on our promise to share the lessons we learned about the transportation challenges America's cities face and about the innovative solutions that could help us meet those those challenges.


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This class teaches the basics of how to use computer algorithms to see, primarily under the context of guiding a robot to perform actions based on those images. Topics include binary image processing, edge detection, Gaussian extended surfaces, orientation and photogrammetry. The course was evaluated by two take home quizzes and counted as one of two graduate-level classes I took in the challenge.

Keep in mind these are only the minimum requirements of my challenge. For classes which have a significant programming component, I try to do representative programming assignments, to the extent that this is possible.

The multi-phase challenge was designed to advance the construction technology needed to create sustainable housing solutions for Earth and beyond. The competition, completed in 2019, awarded a total of $2,061,023.

This challenge was defined in draft versions of ACME. It did a TLShandshake on port 443 and sent a specific SNI header, looking forcertificate that contained the token. It was disabled in March2019because it was not secure enough.

This challenge was developed after TLS-SNI-01 became deprecated, and isbeing developed as a separate standard. Like TLS-SNI-01, it is performedvia TLS on port 443. However, it uses a custom ALPN protocol to ensurethat only servers that are aware of this challenge type will respondto validation requests. This also allows validation requests for thischallenge type to use an SNI field that matches the domain name beingvalidated, making it more secure.

This challenge is not suitable for most people. It is best suitedto authors of TLS-terminating reverse proxies that want to performhost-based validation like HTTP-01, but want to do it entirely at theTLS layer in order to separate concerns. Right now that mainly meanslarge hosting providers, but mainstream web servers like Apache andNginx could someday implement this (and Caddy already does).

The sustainable aviation fuel (SAF) supply chains action area is one of six key action areas outlined in the SAF Grand Challenge Roadmap, and through the release of a Request for Information (RFI), the U.S. Department of Energy (DOE) aims to better understand the challenges facing critical elements within SAF supply chains.

If a Google Workspace user attempts a sensitive action, that user is sometimes presented with a verify-it's-you challenge. If the user can't enter the requested information, Google will disallow the sensitive action.

For most users who are presented with a verify-it's-you challenge for a sensitive action, a window is displayed with the title, Sensitive action blocked. The user is instructed to try again from a device they normally use (like their phone or laptop) or from the location they usually sign in from.

Because some users have devices or security keys that were recently added to their account, they can't immediately verify their identity in response to a security challenge. For these users, a window is displayed with the title, Can't complete this action right now. These users can verify their identity after a device, phone number, or security key has been associated with their account for at least 7 days.

If your organization uses third-party identity providers (IdPs) to authenticate single sign-on (SSO) users through SAML, you can present these SSO users with additional risk-based login challenges, depending on how you use third-party IdPs:

A user is presented with the login challenge when a suspicious login is detected, such as the user not following the sign-in patterns that they've shown in the past. A user is presented with a verify-it's-you challenge if they have a risky session when attempting a sensitive action.

Important: Google decides which type of security challenge is appropriate to present to a user based on multiple security and usability factors. For example, the employee ID login challenge might not always be presented to a specific user, even if you turned it on.

2-Step Verification (2SV) is a type of login challenge. As an administrator, you can enforce the 2SV login challenge for your users. By doing so, they won't receive another type of risk-based login challenge.

If you don't enforce 2SV for your users, or if a user doesn't have it on, Google decides which type of login challenge is appropriate to present to that user. The type of login challenge that's appropriate is based on multiple security and usability factors. For example, the employee ID login challenge might not always be presented to a specific user, even if you turned it on.

We offer more than 300 free, year-round activities throughout Northeast Ohio. All programs are carefully adapted to meet the special needs of each child and are created to safely challenge appropriate age and skill levels.

By participating in the challenge, organizations (large or small; public or private) and communities are encouraged to commit to one or more of the following areas across the five pillars of the National Strategy:

The FDA received an overwhelming response to the FDA Innovation Challenge: Devices to Prevent and Treat Opioid Use Disorder. Over 250 applications were received from medical device developers large and small. After careful review using an established set of criteria, eight challenge participants have been selected. The medical devices from the selected participants include those intended to predict the risk of opioid used disorder (OUD), detect opioid overdose, dispense medication and provide pain treatment alternatives to opioids.

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