Amazon Web Services and Microsoft announced a new deep learning library, called Gluon, that allows developers of all skill levels to prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps.
The Gluon interface currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release. With the Gluon interface, developers can build machine learning models using a simple Python API and a range of prebuilt, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon’s reference specification so other deep learning engines can be integrated with the interface.
The Gluon should give developers a concise, easy-to-understand programming interface that enables developers to quickly prototype and experiment with neural network models, and a training method that has minimal impact on the speed of the underlying engine. Developers can use it to create neural networks on the fly, and to change their size and shape dynamically. In addition, because Gluon interface brings together the training algorithm and the neural network model, developers can perform model training one step at a time. This means it is much easier to debug, update and reuse neural networks.
The Gluon interface is open source and available in Apache MXNet 0.11, with support for CNTK in an upcoming release. Developers can learn how to get started using Gluon with MXNet by viewing tutorials for both beginners and experts available by visiting https://mxnet.incubator.apache.org/gluon/.
Telecom operators are no longer using AI only for network optimisation and routine operations. They are applying it to faster product development and customer conversations. Matija Ražem says AI enables prototypes in hours, quicker market testing, and automation of many standard support questions. The next step may be a world where personal digital agents interact with agents from telecoms, banks and other large organisations.
ReversingLabs is developing agent-based approaches to security operations, while warning that the expertise needed to manage such systems will become even more critical.
Infobip has officially introduced RCS BusinessOS, an end-to-end operating layer designed to assist mobile network operators in launching, managing, and monetizing RCS for Business.
