Apple Inc.

About: Apple Inc. is a company organization based out in Herzliya, Israel. It is known for research contribution in the topics: Signal & User interface. The organization has 15687 authors who have published 22600 publications receiving 624507 citations. The organization is also known as: Apple Computer, Inc. & Apple Computer Inc.

Device, method, and graphical user interface for navigating and displaying content in context

Abstract: An electronic device displays one or more thumbnails. The device detects a first multi-contact gesture that includes movement of a first contact and a second contact; and, in response to detecting the first multi-contact gesture, the device displays content associated with a respective thumbnail and enlarges the content associated with the respective thumbnail to a respective enlarged size in accordance with the first multi-contact gesture. The device detects termination of the first multi-contact gesture; and, in response to detecting termination of the first multi-contact gesture: when a resizing metric based on the first multi-contact gesture is below a predefined threshold, the device ceases to display the content at the respective enlarged size; and, when the resizing metric based on the first multi-contact gesture is above the predefined threshold, the device displays the content on the display in a predefined arrangement.

System for automatically retrieving information relevant to a user's scheduled event

Abstract: Portable electronic devices containing user's calendars have proliferated. Similarly, files, web pages, databases and information sources have become commonplace. The present invention combines knowledge of the current date and time with knowledge of entries in the user's calendar to automatically generate queries against those files, databases and information sources. The results of those queries are then made available to the user in order to provide the user with additional information about the subject of the meeting, the other attendees, their employers, etc. The present invention connects multiple devices together in a passive information retrieval model, leveraging off of mobile, desktop, and server systems, context data and search and retrieval technology. The present invention is thus an automatic search and retrieval system providing its user with relevant information to a scheduled meeting or event.

Multimedia content filtering

Abstract: Methods and apparatuses to filter multimedia content are described. The multimedia content in one embodiment is analyzed for one or more parameters. The multimedia content in one embodiment is filtered based on the one or more parameters using a latent semantic mapping (“LSM”) filter. In one embodiment, the one or more parameters include information about a structure of the multimedia content. A tag that encapsulates the one or more parameters may be generated. Then, the tag is input into the latent semantic mapping filter. In one embodiment, the LSM filter is trained to recognize the multimedia content based on the one or more parameters. In one embodiment, more than two categories are provided for a multimedia content. The multimedia content is classified in more than two categories using the LSM filter. The multimedia content may be blocked based on the classifying.

Method and apparatus for transmitting nrz data signals across an isolation barrier disposed in an interface between adjacent devices on a bus

Abstract: The present invention provides a method and apparatus for transmitting NRZ data signals across an interface comprising an isolation barrier disposed between two devices interconnected via a bus. The apparatus comprises a signal differentiator for receiving an NRZ data signal and outputting a differentiated signal. A driver comprising a tri-state gate has as a first input the data signal and as a second input the differentiated signal for enabling the tri-state gate when the differentiated signal is high. A bias voltage is applied to an output of the tri-state gate to derive as output a transmission signal for transmission via the bus accross the interface between the two devices. In this way, the transmission signal output from the first device comprises an intermediate transmission signal corresponding to the bias voltage when the tri-state gate is disabled, a hight transmission signal when the tri-state gate is enabled and the first input to the tri-state gate is high, and a low transmission signal when the tri-state gate is enabled and the first input to the tri-state gate is low. A Schmidt trigger is provided as a receiver in the second device for receiving as input the transmission signal and outputting a reconstituted data signal corresponding to the synchronized data signal.

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Abstract: One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. Reproducibility, that is obtaining similar results as presented in a paper or talk, using the same code and data (when available), is a necessary step to verify the reliability of research findings. Reproducibility is also an important step to promote open and accessible research, thereby allowing the scientific community to quickly integrate new findings and convert ideas to practice. Reproducibility also promotes the use of robust experimental workflows, which potentially reduce unintentional errors. In 2019, the Neural Information Processing Systems (NeurIPS) conference, the premier international conference for research in machine learning, introduced a reproducibility program, designed to improve the standards across the community for how we conduct, communicate, and evaluate machine learning research. The program contained three components: a code submission policy, a community-wide reproducibility challenge, and the inclusion of the Machine Learning Reproducibility checklist as part of the paper submission process. In this paper, we describe each of these components, how it was deployed, as well as what we were able to learn from this initiative.