Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

David Dzung Lu

Michael F Diggins

Xingbo Wang

Allen L Ussher

Bryan Mark Benson

Colm MacCarthaigh

Brian Scott Stucker

Jennifer L Bost

Hauke Antony Gentzkow

Jonathan Reed Harris

Anshul Saxena

Anton Romanov

Schuyler Nicholas Goodman

Patricia Terumi Yoshida Shigihara

William Anthony Lopes

Brian S Stucker

A computing device and a method for generating relative narration. In one instance, the computing device include a display device displaying a graphical user interface including textual information received from a first application. An electronic processor of the computing device receives a user interface element associated with the textual information scheduled for relative narration. The electronic processor extracts a plurality of entities from the user interface element, converts the plurality of entities into a narrated string using a second application, generates the relative narration of the textual information using the narrated string, and output the relative narration.

Relative narration

A computing device and a method for controlling narration. The computing device comprises a display device displaying a visual user interface including textual information and an electronic processor configured to map the textual information to an implicit audio narration, wherein mapping textual information to the implicit audio narration has a scalable level of precision to the textual information depending on the visual user interface, and the electronic processor further configured to output the implicit audio narration.

Implicit narration for aural user interface

Attention-based scheduling is provided. Most people's energy levels and cognitive functioning fluctuate throughout the day. Typically, the time of day when a person feels more energetic or has a higher attention span is the time in the person's day when the individual has the highest productivity potential. While at off-peak times, a person may have less attention, which can make it harder for the individual to be effective. An attention-based schedule system identifies a user's high and off-peak times based on one or more attention-based factors. When a meeting or appointment is scheduled and an attention-based scheduling conflict is determined, the user or another scheduler of the calendar item is notified, and in some examples, alternate time suggestions are provided. In some examples, off-peak times are blocked off from the user's calendar.

Scheduling of calendar items based on user attentiveness

A computing device and method for controlling narration. The computing device comprises a display device displaying a visual user interface including textual information, and an electronic processor. The electronic processor executing instructions to identify a plurality of discrete textual data elements included in the textual information, map each of the plurality of discrete textual data elements to an audio data element, generate an implicit audio narration including the audio data element mapped to each of the plurality of discrete textual data elements and at least one of an audible tone and a pause between audio data elements mapped to at least two of the plurality of discrete textual data elements, and output the implicit audio narration.

Audio landmarking for aural user interface

A technology is described for prioritizing DNS name resolutions requests received from DNS resolvers. An example method may include identifying a resolver as a public DNS resolver. Receiving a DNS name resolution request from the public DNS resolver. Assigning a priority to the DNS name resolution request received from the public DNS resolver that is lower priority as compared to a priority assigned to DNS name resolution requests received from known DNS resolvers, and providing the DNS name resolution request to the DNS name server according to the priority assigned to the DNS name resolution request.

Public DNS resolver prioritization

Disclosed are various embodiments for a container that comprises multiple interlocking panels. According to various embodiments, a first panel includes a first notch, a second notch, a third notch, and a fourth notch. A second panel includes a first tab that is configured to be inserted into the first notch of the first panel. A third panel includes a second tab that is configured to be inserted into the second notch of the first panel. A fourth panel includes a third tab that is configured to be inserted into the third notch of the first panel. A fifth panel includes a fourth tab that is configured to be inserted into the fourth notch of the first panel.

Insulating container with interlocking panels

A technology is described for prioritizing DNS name resolutions requests received from DNS resolvers. An example method may include receiving a DNS name resolution request addressed to a DNS name server from a DNS resolver. The DNS resolver associated with the DNS name resolution request may be identified as a known DNS resolver or an unknown DNS resolver, where a known DNS resolver may have DNS resolver characteristics that correspond to a valid DNS resolver. The DNS name resolution request may be prioritized according to the identity of the DNS resolver as a known DNS resolver or an unknown DNS resolver. The DNS name resolution request may then be provided to the DNS name server according to the priority assigned to the DNS name resolution request.

DNS resolver prioritization

A technology is described for prioritizing network packets using suspicion weights assigned to packet attributes of the network packets. An example method may include analyzing a network packet for packet attributes that have values indicating that the network packet may be associated with a potential network attack. Suspicion weights for the packet attributes identified as having a value that indicates that the network packet is associated with the potential network attack may be obtained, and a suspicion score may be calculated for the network packet using the suspicion weights.

Network packet prioritization

A technology is described for limiting the rate at which a number of requests to perform a network action are granted using rate limiters. An example method may include receiving a request for a token granting permission to perform a network action via a computer network. In response, rate limiters may be identified by generating hash values using hash functions and a network address representing a source network where the hash values identify memory locations for the rate limiters. The rate limiters may have a computer memory capacity to store tokens that are distributed in response to the request. Token balances for the rate limiters may be determined, and permission to perform the network action may be granted as a result of at least one of the token balances being greater than zero.

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Huntington Beach, CA, United States of America

David Dzung Lu