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In less than 10 years, some predict that Artificial Intelligence (AI) may be the #1 driver of global GDP growth1. This is a staggering prediction. Over this next decade, we will see incredible adoption and innovation; in fact, applications that aren’t AI-enabled may feel broken. Despite this excitement, I have seen first-hand that trust in …

Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated 175 trillion gigabytes. For a visual, if you stored that amount of data on DVDs, it would stack up tall enough to circle the Earth 222 times. One of the biggest challenges in computing is handling this …

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) today announced six inaugural recipients of the Hoffman-Yee Research Grant Program, a multiyear initiative to invest in research that leverages artificial intelligence (AI) to address real-world problems. The projects were selected for their boldness, ingenuity and potential for transformative impact. The grantees comprise interdisciplinary teams of faculty members, postdoctoral …

In June, OpenAI unveiled the largest language model in the world, a text-generating tool called GPT-3 that can write creative fiction, translate legalese into plain English, and answer obscure trivia questions. It’s the latest feat of intelligence achieved by deep learning, a machine learning method patterned after the way neurons in the brain process and store information. But it …

Lawrence Livermore National Laboratory (LLNL) researchers delivered four pulsed power modules to Nevada National Security Site (NNSS) this month, making excellent time despite many challenges presented by COVID-19. The modules are key elements in a novel diagnostic capability jointly developed by Los Alamos National Laboratory (LANL), NNSS and LLNL to be deployed in the U1A …

During your data manipulation, exploration, and even analysis, functions can get complicated, putting one function inside of one another in order to accomplish tasks in one swoop. These are called nested functions. A nested function may look like something like this: Not only can this confuse you while you are coding, this looks quite ugly …

TF Dev Summit ’19 | TF Lattice: Control Your ML with Monotonicity This AI safety solution lets you guarantee that your TF models behave like you think they should by letting you control your ML with monotonicity constraints. Speaker: Maya Gupta  

TF Dev Summit ’19 | Reinforcement Learning in TensorFlow with TF-Agents Learn how to use TensorFlow and Reinforcement Learning to solve complex tasks. Speakers: Sergio Guadarrama, Senior Software Engineer Eugene Brevdo, Software Engineer

TF Dev Summit ’19 | TensorFlow Open Source Community And Collaboration TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and Requests for Comment (RFCs). In addition to that, we have communities of contributors focused on documentation, and on testing the forthcoming TensorFlow 2.0 release. This …

Overview This guide shows how to install NumPy. NumPy is the fundamental package for scientific computing with Python.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu   Installation 01. Activate your virtual environment, or skip this step …