Topic: deep learning
Analyst Watch: The rise of AI chips
Artificial intelligence (AI) is a broad field that spans academic research with ambitions to create an artificial human brain (general AI) through to practical applications of deep learning (DL), a branch of machine learning (ML, itself the part of AI concerned with learning systems built on data rather than prepared rules). DL has many real-world … continue reading
Amazon aims to democratize deep learning with new library AutoGluon
Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code. “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” … continue reading
SD Times news digest: Paperspace announces free GPU cloud service for ML developers, spaCy v 2.2, and Fugue’s support for Open Policy Agent
Paperspace announced “Gradient Community Notebooks,” a free cloud GPU service that was designed for developing machine learning (ML) and deep learing solutions. It’s based on Jupyter notebooks. The service enables developers to collaborate while using various deep learning frameworks such as PyTorch, TensorFlow, Keras and OpenCV. “This is precisely why we created Gradient Community: to … continue reading
SD Times news digest: Deep learning algorithm solves Rubik’s Cube, Apollo Data Graph Platform updated, and Progress’ MOVEit cloud solution
A deep learning algorithm created by researchers at the University of California Irvine (UCI) can solve Rubik’s Cubes faster than any human without any specific domain knowledge or in-game coaching from humans. In a study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state … continue reading
SD Times news digest: Facebook’s deep learning recommendation model, React Native 0.60 and Rust 1.36
Facebook announced that it is open-sourcing its deep learning recommendation model (DLRM) to work with categorical data, which is used to describe higher level attributes. The open-source implementation of DLRM can be used as a benchmark to measure the speed at which a model and associated operators perform and how various numerical techniques affect its … continue reading
SD Times Open-Source Project of the Week: TensorWatch
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
MIT researchers create AI programming language
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 picks up the deep probabilistic programming language Pyro
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
New open-source project introduces code-free deep learning approach
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
Intel launches a distributed deep learning platform for Kubernetes
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
SD Times news digest: Spell’s new AI platform, Google’s app translation service, and Rust 1.32
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
IEEE: Deep learning will become widely adopted in 2019
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
