Posts in category

Machine Learning


With cyber threats growing in complexity, this world increasingly reliant on computers cannot afford to lag in security. One way we can sure we’re always up-to-date is through the use of artificial intelligence (AI) and machine learning (ML) in our cybersecurity solutions. AI and ML enable cybersecurity experts to scour the cyber terrain for threats …

 Google Cloud Next 2019 | Financial Services Sessions Google Cloud Next 2019 | Machine Learning Framework for Liquidity Risk Management Financial models have always been impacted by the lack of data (or many highly noisy data), by necessary mathematical simplifications such as normality or linearity assumptions and by a limited ability to use a …

Google Cloud Next 2019 | Education Sessions Google Cloud Next 2019 | Chatbots Will Empower Students and Teachers Chatbots are radically changing the way universities can interact with their students by managing repetitive tasks and freeing up more time to spend with those that need it most. Learn about how Strayer University, Case Western, and …

Google Cloud Next 2019 | Education Sessions Google Cloud Next 2019 | University Students & Researchers Push the Bounds of What is Possible With GCP Researchers, students, and developers at universities around the world are asking what’s possible and answering with Google Cloud Platform breakthroughs. Their projects range from seeking extraterrestrial life and mapping the …

Picture yourself driving down a city street. You go around a curve, and suddenly see something in the middle of the road ahead. What should you do? Of course, the answer depends on what that ‘something’ is. A torn paper bag, a lost shoe, or a tumbleweed? You can drive right over it without a …

Google I/O 2019 | Machine Learning Magic for Your JavaScript Application TensorFlow.js is a library for training and deploying machine learning models in the browser and in Node.js and offers unique opportunities for JavaScript developers. In this talk, you will learn about the TensorFlow.js ecosystem: how to bring an existing machine learning model into your …

As machine learning (ML) systems continue to improve, its integration to systems making up the society becomes more seamless. Right now, ML is involved in making critical decisions such as court decisions and job hirings. Without a doubt, using ML in these processes will lead to more efficiency. With a good design, ML systems can …

A common industry standard for deep learning hardware is the use of neural network quantization, as noted by an MIT study. Neural networks are computation and memory intensive. Quantization cuts down on the usage of these resources by stripping an input of details which won’t gravely affect the information conveyed. As an example, consider image …

Google I/O 2019 | Machine Learning on Your Device: The Options Developers have an often confusing plethora of options available to them in using machine learning to enhance their mobile apps and edge devices. This session will demystify these options, showing you how TensorFlow can be used to train models and how you can use …

Google I/O 2019 | Live Coding A Machine Learning Model from Scratch Do you want to build a machine learning model, but not sure where to start? In this session, learn how to start with an empty Colab notebook, code a model using TensorFlow and Keras, train the model live, deploy it to Cloud AI …