Univ_Techs ::: To Explore Tech

      Apple announced a new feature for developers called Create ML . It Create machine learning models for use in your app. Create ML is a machine learning framework in Swift which can be used to train the machine learning models using native Apple technologies like Swift, Xcode, and Other Apple frameworks. This means machine learning is possible within Apple ecosystem without any third-party service.  Create ML technology has following features,.. A simple approach for training the model using images, texts, and tabular data Models still can be trained using complex algorithm if you are expert Machine learning models can be created using Xcode Playground, Swift, and native Apple framework The process of creating and training module can be automated using Swift scripts.      You train a model to recognize patterns by showing it representative samples. For example, you can train a model to recognize dogs by showing it lots of images of different dogs. A

          G oogle has invested a large amount of developers time and effort into the capabilities of machine learning.  Finally, the tool was developed by the Brain Team that is TensorFlow.  TensorFlow was orginally designed to be used for Machine Learning and Neural Network applications.          But now, you can use TensorFlow no need to zero  % of installation.  Google announces Colab to do this as easy. Welcome to Colaboratory!      Colaboratory is a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud.      Colaboratory notebooks are stored in Google Drive and can be shared just as you would with Google Docs or Sheets. Colaboratory is free to use.    How to write Hello, World! in TensorFlow:              import tensorflow as tf                      # import tensorflow .              node = tf.constant(

     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 Duplex conducts the natural language processing very

     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 the human mind. The machine should be able to draw and connect lines the way a normal human d

     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 AI models. Both AT & T and Tech Mahindra

  Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and efficient robots. What are Robots? Robots are the artificial agents acting in real world environment.   Objective: Robots are aimed at manipulating the objects by perceiving, picking, moving, modifying the physical properties of object, destroying it, or to have an effect thereby freeing manpower from doing repetitive functions without getting bored, distracted, or exhausted.   What is Robotics? Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.   Aspects of Robotics The robots have mechanical construction , form, or shape designed to accomplish a particular task. They have electrical components which power and control the machinery. They contain some level of computer program that determines what, when and how a robot does som