Fujitsu has developed a new software platform that enables the centralized and stable management of operating status for a variety of sensors, devices, gateways, and robotics and automation systems, as well as the condition of the network that connects them.
This platform will support the operation and management of an anticipated and growing array of IoT services, says the company.
After releasing its deep learning or machine learning library TensorFlow as open source software a few months ago, Google has now followed up by open sourcing TensorFlow Serving, which the company says makes it easier to take models into production.
Noah Fiedel, Google software engineer, writes on his blog: “TensorFlow Serving makes the process of taking a model into production easier and faster.
“It allows you to safely deploy new models and run experiments while keeping the same server architecture and APIs.”
TensorFlow Serving is written in C++ and supports Linux. Fidel says the software requires minimal overhead. “In our benchmarks we recoded approximately 100,000 queries per second per core on a 16 vCPU Intel Xeon E5 2.6 GHz machine, excluding gRPC and the TensorFlow inference processing time.”
Ansys software has launched the 17th version of its popular design application for engineers.
The company says, “Engineers across disciplines – from structures to fluids to electromagnetics to systems – will realize step-change improvements in the way they develop products using the newly released Ansys 17.0”.
Ansys adds that this next generation of the engineering simulation solution “sets the scene for the next quantum leaps in product development, enabling unprecedented advancements across an array of industry initiatives from smart devices to autonomous vehicles to more energy-efficient machines”.