Due to the rise of deep learning and therefore its complexity, Microsoft is open-sourcing TensorWatch, its AI debugging and visualization tool that it calls the “Swiss Army knife of debugging tools.” The tool works in Jupyter Notebook, which forfeits the need of using a separate script, according to the company. It shows real-time visualization of … continue reading
In an effort to democratize and advance the field of artificial intelligence, MIT researchers have announced a new programming language designed for computer vision, robotics, statistics and more. Gen aims to take away the complexity of equations or having to manually write code and enable researchers of all skill levels to create models and algorithms … continue reading
The LF Deep Learning Foundation has accepted Pyro as its latest project. The LF DL Foundation is a Linux Foundation project meant to accelerate the growth of artificial intelligence, machine learning and deep learning open-source projects. Pyro is a probabilistic programming framework created by Uber that is designed to bring together the best of both … continue reading
Uber’s AI engineering team wants to make deep learning more accessible with the open-source release of Ludwig. The deep learning toolbox based on TensorFlow aims to give users the ability to train and test deep learning models without having to write any code. “Ludwig is unique in its ability to help make deep learning easier … continue reading
As AI evolves, the value of deep learning continues to grow, but implementing it can be a complex, risky, and time-consuming process. Intel is looking to change that with its new open-source platform for distributed deep learning in Kubernetes, Nauta. Nauta provides a distributed computing environment for training deep learning models on systems running on … continue reading
AI startup Spell has released a new deep learning and AI platform that is meant to empower teams to build using AI. Platform features include a new design, Organizations, Hyperparameter search, and dedicated clusters. In addition, Spell has announced that it raised $15 million in funding, which it will use for continued innovations to help … continue reading
The IEEE Computer Society (IEEE-CS) has released its top 10 technology trends for the upcoming year. The trends are based on what the technology experts believe will be the most widely adopted and meant to forecast the future for organizations. “The Computer Society’s predictions, based on an in-depth analysis by a team of leading technology … continue reading
Uber’s open-source distributed training framework Horovod is joining the LF Deep Learning Foundation to support its work in artificial intelligence, machine learning and deep learning. The LF Deep Learning Foundation is a umbrella project under the Linux Foundation. “The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine … continue reading
Apache Ignite 2.7 is adding new deep learning and extended languages support with the announcement of its TensorFlow integration and support for Node.js, Python and PHP. Ignite is a distributed database, caching and processing platform for transactional, analytical and streaming workloads. TensorFlow is an open-source software library for deep learning and machine learning tasks. The … continue reading
Knowledge is the foundation of intelligence— whether artificial intelligence or conventional human intellect. The understanding implicit in intelligence, its application towards business problems or personal ones, requires knowledge of these problems (and potential solutions) to effectively overcome them. The knowledge underpinning AI has traditionally come from two distinct methods: statistical reasoning, or machine learning, and … continue reading
Facebook’s open-source AI framework PyTorch is one step closer to being production ready. The company announced what’s new in PyTorch 1.0, which is now available as a developer preview. PyTorch is a deep learning platform for everything from research prototyping to production deployment. It features a hybrid front-end, distributed training, deep integration with Python and … continue reading
Machine learning is rapidly advancing and being deployed across a number of different industries and solutions to intelligently manage data, gain insights and provide value. However, to effectively train and deliver machine learning models is still very time-consuming for many, and involves a lot of grunt work, according to a newly launched company. MissingLink.ai has … continue reading
