International Business Machines Corporation

Beijing Bytedance Network Technology Co., Ltd.

Beijing Gragen Biotechnology Co. Ltd.

Jing Du

Xiang Yu Yang

Li Jia Lu

Chao Zhang

Zhong Fang Yuan

Tong Liu

Lin Zhang

Deng Xin Luo

Ci-Wei Lan

Miao Guo

Xin Fang Hao

Tzu-Chen Chao

Dong Qin

Yuanhuang Zhang

The disclosed embodiment provides a displaying method for a three-dimensional object, an apparatus, a device, and a medium. The method includes: acquiring a plurality of pieces of original position information of a plurality of associated three-dimensional points in a target object model, acquiring human eye position information of human eye, and acquiring display position information of a preset picture display region in a picture display device; determining a plurality of pieces of projection position information of the plurality of associated three-dimensional points on the picture display region according to the plurality of pieces of original position information, the human eye position information, and the display position information; and generating and rendering a projection picture of the target object model in the picture display region according to the plurality of pieces of projection position information.

Method and apparatus for displaying three-dimensional object by following positions of the human eye, and device and medium

Approaches presented herein enable deploying a distributed machine learning framework in an edge computing environment. More specifically, a status of a connection between a computing system and an edge node of a plurality of edge nodes is monitored. At least one server node and a group of worker nodes from the plurality of edge nodes are identified based on the status. A path for distributing the training data to the worker nodes is determined based on the status. The training data from the edge node to the worker nodes is distributed via the path.

Distributed machine learning in edge computing

Described are techniques for determining statistical properties of time series data. The techniques include a method comprising graphing, from time series data, a time series data graph. The method further comprises iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold. The first segmentation scheme can be selected from: an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme. The method further comprises associating a classification to the time series data based on the first segmentation scheme. The classification can be indicative of one selected from: stationarity of the time series data, periodicity of the time series data, and trending of the time series data.

Classification of time series data

A wearable medical device comprising an annular housing configured to attach to a wrist of a patient. The wearable medical device having a first receptacle attached to the annular housing for receiving a first portion of a tube of an intravenous delivery system. The wearable medical device comprising a flow regulator attached to the annular housing and in contact with the first portion of the tube, where the flow regulator is configured to modify a geometric characteristic of the first portion of the tube. The wearable medical device further comprising a wireless transmitter for communicating with a user console.

Wearable medical device for monitoring intravenous injection

The present invention provides the use of cordycepin or derivatives thereof in manufacture of medicaments for antidepression, said derivatives mean pharmaceutically acceptable salts, esters of crodycepin or glycosides formed by cordycepin and saccharides.

Use of cordycepin in manufacture of medicaments for anti-depression

Growing community of inventors

Beijing, China

Jing Du