Univ_Techs ::: To Explore Tech

     The Artificial Intelligent(AI) fiction has nearly become a fact with Google’s new AI system that accomplishes real-world tasks over the phone. In the recent years, we are constantly listening to AI buzz and its research and evolution in natural language processing, machine learning, and deep learning. Also, experienced with few of the applications like Google Voice Search, WaveNet, etc.        In all these years the various downsides of AI are like not understanding natural languages, doesn’t engage with callers efficiently, stuck with flow and force callers to adjust to the system instead of system adjusting to the caller.      However, Google’s new technology called Google Duplex will avoid the stilted computerized voices and bring more peace by conducting natural conversations to complete real-world tasks over the phone. What are the real-world tasks accomplished by Google Duplex? ...

     Google has developed Artificial Intelligence technology that can help the users to draw different types of images faster and more accurately. The software that Google is working on is known as Sketch-RNN. It is currently in the form of the web app.         Image Source: Google      Google’s idea is simple. It will select one of the pre-existing objects and then start drawing the image on the bias of selected image. But, before moving on to actual drawing, the software will try to guess the best way to complete the drawing.       Sketch-RNN is an artificial mind that is trained on a neural network which is fed with many human drawn doodles as the input. It is quite similar to one that was found in Google Brain efforts like AutoDraw and Quick Draw. Google mentioned that the ultimate goal is to train machines to identify and recreate objects with an accuracy of t...

     IDE, means  for ‘Integrated Development Environment’ is a coding tool consisting of a source code editor, an interpreter and a debugger which helps the programmer in software development. Various features of IDEs make it easy for the programmer to test and debug a code and to distinguish the packages.      Python programming language is like everyone wants to be a genius in it and for that, the first requirement is an IDE. Here is a list of three Python IDEs providing different features to choose according to one’s requirements. 3 Best Python IDE's for Programmers 1. Pycharm IDE Pycharm is one of the best IDEs for python developers regarding its features. Its complete feature is available in a paid version, but some basic features are also free to use. JetBrains is the developer of this IDE. Following are some of the features available for the software developers: Every operating system, like Windows, Linux, etc suppo...

     The Linux Foundation launched a Deep Learning Foundation to support as well as sustain open source innovation in regards to artificial intelligence, deep learning, and machine learning. This Organization aims at making these critical new-technologies all available to the developer as well as data scientists worldwide. LF Deep Learning Foundation is comprised of many members, they include; Amdocs, B. Yond, Tech Mahindra, AT & T, Huawei, Nokia, Univa, ZTE, Tencent among others. Their main target is to create a neutral space to enable makers and sustainers of tools as well as infrastructure to interact and coordinate their efforts so as to facilitate the broad adaption of deep-learning technologies .   Long-term benefits of Deep learning Foundation      LF has launched the Acumos Al Project through Deep Learning Foundation to provide a platform for the discovery, development, and sharing of AI workflows and ...

While C and C++ are still considered to be a holy grail of the programming languages, new and in-demand programming languages, frameworks have risen to fame. Developers need to upgrade their skills constantly to keep up with the current market. There are the many ways to know the popularity of a programming language but we think that Indeed.com is the best source to know about developer trends. Indeed.com has compiled a list of programming languages that are going to be extensively used in 2018. Highly Demanded Programming Languages in 2018 1. Java The job postings for Java Developers have reduced significantly compared to 2017 but the language is extremely well established. The continued support from Oracle is keeping the language in Loop. Furthermore, Java is still being used in billions of devices worldwide and is currently able to run on the most of the Hardware platforms. 90% of the fortune’s top 500 companies are using Java as the server-side progr...

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Supervised learning : The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to learn a general rule that maps inputs to outputs. As special cases, the input signal can be only partially available, or restricted to special feedback:                     Semi-supervised learning : the computer is given only an incomplete training signal: a training set with some (often many) of the target outputs missing. Active learning : the computer can only obtain training labels for a limited set of instances (based on a budget), an...

What's New in Tensorflow Machine Learning Google's TensorFlow 1.4 machine learning library adds the contributed Dataset API for working with data sources, but watch out for breakage caused by the update. TensorFlow, Google’s contribution to the world of machine learning and data science, is a general framework for quickly developing neural networks. Despite being relatively new, TensorFlow has already found wide adoption as a common platform for such work, thanks to its powerful abstractions and ease of use. TensorFlow 1.4 API additions TensorFlow Keras API The biggest changes in TensorFlow 1.4 involve two key additions to the core TensorFlow API. The  tf.keras  API allows users to employ the Keras API, a neural network library that predates TensorFlow but is quickly being displaced by it. The tf.keras API allows software using Keras to be transitioned to TensorFlow, either by using the Keras interface permanently, or as a prelude to the s...