Static application security testing is a methodology that analyzes source code to find security vulnerabilities, also known as white box testing. Learn more at Blackduck.com.
The following key features help you develop Lambda applications that are scalable, secure, and easily extensible: Environment variables Use environment variables to adjust your function's behavior without updating code. Versions Manage the deployment of your functions with versions, so that, for example...
That doesn’t mean, though, that an app builder should simply jump right into building a business app without some training on the best ways to create apps that are functional, secure, scalable, easy to use, reliable, and compliant with your company’s standards. Be sure to leave time ...
the CLR and JIT compiler help to improve application performance, while offering numerous other benefits, such as support for custom attributes, structured exception handling, and explicit free threading for multithreaded and scalable applications. ...
Samsung Scalable CodecAs is often the case, Samsung has developed its own technology just for its own devices. Samsung Scalable Codec is used with its Galaxy Buds family of earbuds and can support a wide range of bitrates depending on the stability of the Bluetooth connection. As the nam...
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Cloud computing is the delivery of computing services over the internet ("the cloud") to offer faster innovation and flexible resources.
that an app builder should simply jump right into building a business app without some training on the best ways to create apps that are functional, secure, scalable, easy to use, reliable, and compliant with your company’s standards. Be sure to leave time for your app builders to be tra...
Open science is not limited to research, and practices include making scientific output and methods available and accessible to students and educators. Examples of publicly accessible resources for educators and students are: Resources forteaching computation in science and engineeringwith MATLAB via the ...
Hardware is equally important to algorithmic architecture in developing effective, efficient and scalable AI. GPUs, originally designed for graphics rendering, have become essential for processing massive data sets.Tensor processing units and neural processing units, designed specifically for deep learning, ...