Abstract: Asynchronous snapshot invalidation techniques are described. According to various such techniques, an enhanced file handle structure may be defined that includes a snapshot generation ID that is to comprise a value that singularly identifies a snapshot performed at a particular point in time. In some embodiments, when a snapshot ID assigned to that snapshot is reused at a subsequent point in time, a different snapshot generation ID may be assigned to that subsequent snapshot. With respect to an in-core cache, the differing snapshot generation IDs may eliminate unacceptable ambiguity regarding respective file information sets corresponding to the initial and subsequent snapshots sharing the same snapshot ID. As a result, obsolete file information sets may be cleared from the in-core cache asynchronously, enabling improved performance. The embodiments are not limited in this context.

Abstract: A semiconductor process system includes a process chamber. The process chamber includes a wafer support configured to support a wafer. The system includes a bell jar configured to be positioned over the wafer during a semiconductor process. The interior surface of the bell jar is coated with a rough coating. The rough coating can include zirconium.

Abstract: A sealing article includes a body and a coating layer disposed on at least one surface of the body. The body comprises a polymeric elastomer such as perfluoroelastomer or fluoroelastomer. The coating layer comprises at least one metal. The sealing article may be a seal, a gasket, an O-ring, a T-ring or any other suitable product. The sealing article is resistant to ultra-violet (UV) light and plasma, and may be used for sealing a semiconductor processing chamber.

Abstract: A method of making a sealing article that includes a body and a coating layer disposed on at least one surface of the body. The body comprises a polymeric elastomer such as perfluoroelastomer or fluoroelastomer. The coating layer comprises at least one metal. The sealing article may be a seal, a gasket, an O-ring, a T-ring or any other suitable product. The sealing article is resistant to ultra-violet (UV) light and plasma, and may be used for sealing a semiconductor processing chamber.

Abstract: Method and system for classifying and labeling images, which can perform segmentation based on features of each part of images, classify and match the image and the segmented image based on a classification model built by the machine learning method. Meanwhile, each image is assigned with labels and text descriptions. The system also includes a string module assigning the image with a plurality of matching labels and text descriptions that are the most relevant in recent times. Furthermore, the classification model is trained by machine learning method such as an unsupervised learning, a self-supervised learning, or a heuristic algorithms. In addition, a character recognition module is provided to extract characters in the image for comprehensive learning and calculations to facilitate classification and labeling of the image.

Abstract: Method and system for extracting valuable words and forming a valuable word net, wherein a server is employed to collect contents of articles from internet sources, EDM texts (email direct marketing), product descriptions and other texts, and extract valuable words by machine learning. Each valuable word performs connection weight based on the number of times the text has been read, the number of times the text has been clicked, the number of times the text has been cited, the correlation of external sites, the conversion of expert knowledge, the probability space, the Shannon entropy, the spatial distribution and other values and their conversion by machine learning; then the linked valuable words are integrated to form a valuable word net. When the valuable words are needed to be used, the valuable words and the valuable word net can be retrieved from the database for subsequent applications.

Abstract: A system for awakening non-shopping consumers and an implementation method thereof employ artificial intelligence to grouping consumers, and then determine consumers who have not shopped for a long time, and provide products that meet consumers' needs by analyzing the results of the grouping, as the basis for consumers to shop. Moreover, the desire of consumers to buy goods can be promoted so as to awaken consumers who have not shopped for a long time.

Abstract: An electronic marketing system and an electronic marketing method, wherein, by retrieving the user's browsing traces, browsing history and other de-identified information on the website or the Internet, the similar users can be still effectively grouped without using the user's personal information. The product can be matched with the user to filter out the candidate products that the user may purchase. Alternatively, the product to be sold can be selected first to conduct the matching process, thereby creating a candidate user group. Thereafter, the product leaflet can be generated from candidate products and sent to each user in the candidate user group. Moreover, the user information can be adjusted in real time after the user clicks on the product leaflet. The targeted marketing can still be achieved without use of personal information. Furthermore, the user information can be adjusted in real time to achieve the optimal electronic marketing effect.

Abstract: A method for behavior vectorization of information de-identification, through which data concerning browsing traces, link paths, trigger events, clicks, and operation behaviors of network users on the Internet are selected by a server, a client device, or an edge device for performing a conversion/integration process. Then, the integrated data are converted into a vector. The vector represents the profile of the usage behavior of the network users. Moreover, because vectors can be quickly grouped and classified to find similar groups, it can quickly identify the network users. The server uses the supervised learning method as the base method, and uses pre-defined network behaviors for training. Also, the semi-supervised learning method or the unsupervised learning method can be employed to modify undefined network behaviors to better conform to the profile description of the network users.

Abstract: Method and system for classifying and labeling images, which can perform segmentation based on features of each part of images, classify and match the image and the segmented image based on a classification model built by the machine learning method. Meanwhile, each image is assigned with labels and text descriptions. The system also includes a string module assigning the image with a plurality of matching labels and text descriptions that are the most relevant in recent times. Furthermore, the classification model is trained by machine learning method such as an unsupervised learning, a self-supervised learning, or a heuristic algorithms. In addition, a character recognition module is provided to extract characters in the image for comprehensive learning and calculations to facilitate classification and labeling of the image.

Abstract: Method and system for determining and reclassifying valuable words, wherein a large amount of text and valuable words are pre-inputted into a word processing server for machine learning. Moreover, the word processing server is trained on the valuable words and many labels associated with the valuable words such that it can learn and determines the valuable words in the text that meet the definition of the valuable word. The valuable word is further extracted from the text and re-classified after extraction. In addition, each valuable word is provided with various relevance labels to facilitate the subsequent application of the valuable words.

Abstract: Method and system for extracting valuable words and forming a valuable word net, wherein a server is employed to collect contents of articles from internet sources, EDM texts (email direct marketing), product descriptions and other texts, and extract valuable words by machine learning. Each valuable word performs connection weight based on the number of times the text has been read, the number of times the text has been clicked, the number of times the text has been cited, the correlation of external sites, the conversion of expert knowledge, the probability space, the Shannon entropy, the spatial distribution and other values and their conversion by machine learning; then the linked valuable words are integrated to form a valuable word net. When the valuable words are needed to be used, the valuable words and the valuable word net can be retrieved from the database for subsequent applications.

Abstract: A device includes a semiconductor substrate having a front side and a backside. A photo-sensitive device is disposed at a surface of the semiconductor substrate, wherein the photo-sensitive device is configured to receive a light signal from the backside of the semiconductor substrate, and convert the light signal to an electrical signal. An amorphous-like adhesion layer is disposed on the backside of the semiconductor substrate. The amorphous-like adhesion layer includes a compound of nitrogen and a metal. A metal shielding layer is disposed on the backside of the semiconductor substrate and contacting the amorphous-like adhesion layer.

Abstract: A device includes a semiconductor substrate having a front side and a backside. A photo-sensitive device is disposed at a surface of the semiconductor substrate, wherein the photo-sensitive device is configured to receive a light signal from the backside of the semiconductor substrate, and convert the light signal to an electrical signal. An amorphous-like adhesion layer is disposed on the backside of the semiconductor substrate. The amorphous-like adhesion layer includes a compound of nitrogen and a metal. A metal shielding layer is disposed on the backside of the semiconductor substrate and contacting the amorphous-like adhesion layer.

Abstract: A device includes a semiconductor substrate having a front side and a backside. A photo-sensitive device is disposed at a surface of the semiconductor substrate, wherein the photo-sensitive device is configured to receive a light signal from the backside of the semiconductor substrate, and convert the light signal to an electrical signal. An amorphous-like adhesion layer is disposed on the backside of the semiconductor substrate. The amorphous-like adhesion layer includes a compound of nitrogen and a metal. A metal shielding layer is disposed on the backside of the semiconductor substrate and contacting the amorphous-like adhesion layer.

Abstract: A device includes a semiconductor substrate, which has a front side and a backside. A photo-sensitive device is disposed on the front side of the semiconductor substrate. A first and a second grid line are parallel to each other, and are disposed on the backside of, and overlying, the semiconductor substrate. A stacked layer includes an adhesion layer, a metal layer over the adhesion layer, and a high-refractive index layer over the metal layer. The adhesion layer, the metal layer, and the high-refractive index layer are substantially conformal, and extend on top surfaces and sidewalls of the first and the second grid lines.

Abstract: Image sensors comprising an isolation region according to embodiments are disclosed, as well as methods of forming the image sensors with isolation region. An embodiment is a structure comprising a semiconductor substrate, a photo element in the semiconductor substrate, and an isolation region in the semiconductor substrate. The isolation region is proximate the photo element and comprises a dielectric material and an epitaxial region. The epitaxial region is disposed between the semiconductor substrate and the dielectric material.

Abstract: A device includes a semiconductor substrate having a front side and a backside. A photo-sensitive device is disposed at a surface of the semiconductor substrate, wherein the photo-sensitive device is configured to receive a light signal from the backside of the semiconductor substrate, and convert the light signal to an electrical signal. An amorphous-like adhesion layer is disposed on the backside of the semiconductor substrate. The amorphous-like adhesion layer includes a compound of nitrogen and a metal. A metal shielding layer is disposed on the backside of the semiconductor substrate and contacting the amorphous-like adhesion layer.

Abstract: Image sensors comprising an isolation region according to embodiments are disclosed, as well as methods of forming the image sensors with isolation region. An embodiment is a structure comprising a semiconductor substrate, a photo element in the semiconductor substrate, and an isolation region in the semiconductor substrate. The isolation region is proximate the photo element and comprises a dielectric material and an epitaxial region. The epitaxial region is disposed between the semiconductor substrate and the dielectric material.

Abstract: A device includes a semiconductor substrate having a front side and a backside. A photo-sensitive device is disposed at a surface of the semiconductor substrate, wherein the photo-sensitive device is configured to receive a light signal from the backside of the semiconductor substrate, and convert the light signal to an electrical signal. An amorphous-like adhesion layer is disposed on the backside of the semiconductor substrate. The amorphous-like adhesion layer includes a compound of nitrogen and a metal. A metal shielding layer is disposed on the backside of the semiconductor substrate and contacting the amorphous-like adhesion layer.