Posts in category

Software


George Konidaris still remembers his disheartening introduction to robotics. “When you’re a young student and you want to program a robot, the first thing that hits you is this immense disappointment at how much you can’t do with that robot,” he says. Most new roboticists want to program their robots to solve interesting, complex tasks …

Software intelligence company Dynatrace, announced the extension of its Software Intelligence Platform to support all services from Amazon Web Services (AWS) that publish metrics to Amazon CloudWatch, a fully managed AWS service that provides monitoring and observability of AWS resources and applications on AWS and on-premises environments. Combining Amazon CloudWatch metrics with the data already captured …

For large-scale social networks, testing a proposed code update or new feature is a complex and challenging task. In person and also online, people act and interact with one another in ways that are sometimes difficult for traditional algorithms to model or replicate. People’s behavior evolves and adapts over time and is different from one …

R is a programming language and software environment designed with statistical computing in graphics in mind. In R, information is stored in entities called objects. It’s through these objects that you can perform data manipulations, operations, and analysis in R. Here, we will introduce the main types of R objects and how you can create …

Depending on your opinion, Artificial Intelligence is either a threat or the next big thing. Even though its deep learning capabilities are being applied to help solve large problems, like the treatment and prevention of human and genetic disorders, or small problems, like what movie to stream tonight, AI in many of its forms (such …

TF Dev Summit ’19 | TensorFlow.js 1.0 TensorFlow.js A JavaScript library for training and deploying ML models in the browser and on Node.js. In this talk we highlight the major capabilities of the library as well as give a development update on the major changes since the project was launched in 2018. Speakers: Yannick Assogba, …

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 | Mesh-TensorFlow: Model Parallelism for Supercomputers Batch-splitting (data-parallelism) is the dominant distributed Deep Neural Network (DNN) training strategy, due to its universal applicability and its amenability to Single-Program-Multiple-Data (SPMD) programming. However, batch-splitting suffers from problems including the inability to train very large models (due to memory constraints), high latency, and inefficiency …

TF Dev Summit ‘19 | Improving Text In Tensorflow Learn how recent changes to Tensorflow make working with text data simpler and easier. Speaker: Mark Omernick

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 …