Substrate processing apparatus for processing substrates

The disclosure relates to substrate processing apparatus, with a first and second reactor, each reactor configured for processing a plurality of substrates; and, a substrate handling robot constructed and arranged to transfer substrates between a substrate cassette at a substrate transfer position and the first and second reactor. The apparatus is constructed and arranged with a maintenance area between the first and second reactors to allow maintenance of the reactors from the maintenance area to both the first and second reactor.

HIGH TEMPERATURE COATINGS FOR A PRECLEAN AND ETCH APPARATUS AND RELATED METHODS

A coating and a method to form the coating is proposed for a semiconductor film pre-clean and etch apparatus. The coating may be employed in environments where it is difficult to use a traditional coating or coating method. The coatings provide advantages including: an ability to effectively deliver hydrogen radicals and fluorine radicals to a wafer surface in one apparatus or individually in two apparatuses; a coverage of high aspect ratio features on critical components; an operability in high temperatures exceeding 150° C.; and a protection of a part with high aspect ratio features underneath the coating, thereby preventing metal and particles on a processed wafer.

Method of manufacturing semiconductor devices using a capping layer in forming gate electrode and semiconductor devices

In a method of manufacturing a semiconductor device, a gate dielectric layer is formed over a channel region, a first conductive layer is formed over the gate dielectric layer, a shield layer is formed over the first conductive layer forming a bilayer structure, a capping layer is formed over the shield layer, a first annealing operation is performed after the capping layer is formed, the capping layer is removed after the first annealing operation, and a gate electrode layer is formed after the capping layer is removed.

SYSTEM AND METHOD FOR SECURING AN ENTERPRISE COMPUTING ENVIRONMENT

Methods and systems provided herein include a cyber intelligence system, a unified application firewall, and a cloud security fabric that has enterprise APIs for connecting to the information technology infrastructure of an enterprise, developer APIs 102 for enabling developers to access capabilities of the fabric and connector APIs by which the fabric may discover information about entities relevant to the information security of the enterprise (such as events involving users, applications, and data of the enterprise occurring on a plurality of cloud-enabled platforms, including PaaS/IaaS platforms), with various modules that comprise services deployed in the cloud security fabric, such as a selective encryption module, a policy creation and automation module, a content classification as a service module, and user and entity behavior analytics modules.

Managing computer security services for cloud computing platforms

A computer-implemented method of managing security services for one or more cloud computing platforms is disclosed. The method comprises receiving, by a main controller, a security policy from a client device, the client device being associated with a set of computing applications hosted by one or more independent, private virtual clusters on one or more cloud computing platforms, the main controller residing outside the one or more virtual clusters, each of the one or more virtual clusters to be served by a security gateway system residing within the one or more cloud computing platforms, the security policy indicating how threat intelligence data is to be applied to the set of computing applications with respect to a plurality of application scopes; receiving application data from the client device, the application data indicating whether a specific computing application of the set of computing applications has one or more application properties of a plurality of application properties, the plurality of application properties corresponding to the plurality of application scopes, the one or more application properties including a functional attribute related to a function of the specific computing application, obtaining a piece of threat intelligence data from a data source; mapping the piece of threat intelligence data to the plurality of application scopes; determining to which of the one or more security gateway systems to send the piece of threat intelligence data based on the security policy; transmitting the piece of threat intelligence data to at least one of the one or more security gateway systems based on the determining.

Methods, systems, and computer readable media for providing a service proxy function in a telecommunications network core using a service-based architecture

An example system includes a service proxy controller and a number of service proxy workers. The service proxy controller is configured for providing routing policies for a telecommunications network core. The telecommunications network core includes network functions communicating using a service-based architecture. Each service proxy worker is configured for routing telecommunications network core messages between a respective subset of the network functions by consuming the routing policies from the service proxy controller and enforcing the routing policies from the service proxy controller. Each service proxy worker is configured for providing network status reports to the service proxy controller based on the telecommunications network core messages.

METHODS AND SYSTEMS FOR DETECTING OPERATING CONDITIONS OF AN INDUSTRIAL MACHINE USING THE INDUSTRIAL INTERNET OF THINGS

Methods and systems for detecting operating characteristics of an industrial machine in which the systems include at least one data capture device configured to capture raw data of a point of interest of the industrial machine and a computer vision system. The computer vision system can generate one or more image data sets using the raw data captured, identify one or more values corresponding to a portion of the industrial machine within the point of interest represented by the one or more image data sets, compare the one or more values to corresponding predicted values, generate a variance data set based on the comparison of the one or more values and the corresponding predicted values, detect an operating characteristic of the industrial machine based on the variance data, and generate data indicating the detection of the operating characteristic.

Method and system for virtual assistant conversations

Techniques and architectures for implementing a team of virtual assistants are described herein. The team may include multiple virtual assistants that are configured with different characteristics, such as different functionality, base language models, levels of training, visual appearances, personalities, and so on. The characteristics of the virtual assistants may be configured by trainers, end-users, and/or a virtual assistant service. The virtual assistants may be presented to end-users in conversation user interfaces to perform different tasks for the users in a conversational manner. The different virtual assistants may adapt to different contexts. The virtual assistants may additionally, or alternatively, interact with each other to carry out tasks for the users, which may be illustrated in conversation user interfaces.

Dynamic adaptation of deep neural networks

Techniques are disclosed for training a deep neural network (DNN) for reduced computational resource requirements. A computing system includes a memory for storing a set of weights of the DNN. The DNN includes a plurality of layers. For each layer of the plurality of layers, the set of weights includes weights of the layer and a set of bit precision values includes a bit precision value of the layer. The weights of the layer are represented in the memory using values having bit precisions equal to the bit precision value of the layer. The weights of the layer are associated with inputs to neurons of the layer. Additionally, the computing system includes processing circuitry for executing a machine learning system configured to train the DNN. Training the DNN comprises optimizing the set of weights and the set of bit precision values.

Privacy risk information display

Example implementations are described that include displaying a graphical element related to privacy risk information for an application. A processor of a computing device may determine, for the application, a privacy attention score based on first privacy risk information. The processor may determine, for the application, an aggregated privacy assessment score from a plurality of privacy risk scores that are based on second privacy risk information. The processor may cause a graphical element representing a combination of the privacy attention score and the aggregated privacy assessment score to be displayed via a display device.