PyTorch offers a new API that will help machine learning researchers to reproduce research results. PyTorch Hub supports the publication of pre-trained models in order to help facilitate more transparent ML research. Do you have a pre-trained model that you wish to submit? PyTorch Hub accepts contributions.
When we are talking about the progress of machine learning, researchers have come a long way. But what does the future hold? James Wilson goes over some things you should keep an eye on.
In the column “Stropek as a Service”, SaaS expert Rainer Stropek talks about exciting aspects of the implementation, monetization and use of software as a service offerings.
Deeplearning4j is a deep learning library for Java and the JVM; in 2017 it joined the Eclipse Foundation and open sourced its libraries. The latest update, Deeplearning4j Version 1.0.0-beta4 adds new support, optimization, fixes some pesky bugs, and adds a few new features.
What are developers and data scientists using Python for? The language continues to grow in the field of machine learning, web development, and neural networks. ActiveState recently examined the data from their customers and listed the top use cases by industry and what ML tools professionals are using.
Just how tiny can machine learning get? The latest hardware from Google brings machine learning to mobile and IoT devices. Coral is a platform for development with local AI and includes a powerful complete system dev board and a USB accelerator accessory device.
Machine learning for mobile and Internet of Things devices just got easier. With the latest updates to TensorFlow Lite 1.0, ML heads towards your smart phone and smart home. See what new things the TensorFlow Dev Summit 2019 brings to the table.
2018 was a banner year for machine learning on GitHub. Projects like TensorFlow and PyTorch ranked among some of the most popular on the site, while Python carried on its dominance as a top programming language. It looks like the Octoverse is all about ML and we are 100% here for it.
Need a good math tutor? Julia’s the name and differential equations is the new game. Julia’s latest library combines machine learning with solving differential equations. This collaborative effort shows off the power that Julialang has as a platform for machine learning.
Given the acceleration of change and increasing complexity of machine learning today, we can see many cases of high-profile samples of ML models not working as intended. In this article, SpringPeople Software shares some suggestions on how to make ML a better place.
Machine learning is complicated, but it’s becoming easier and easier to grasp with new tools and platforms. In preparation for AWS re:Invent 2018, AWS updated SageMaker. What are the newest features?
New ways of handling large amounts of data by building more layers of artificial intelligence into computer systems have been allowing developers and businesses to create computer systems that work for them. In this article, Paul Bates explains why the future of consumerism and business optimization relies on machine learning and what role developers play in all this.
Last week, we covered artificial intelligence in our tech history course. This week, we dive deep into the hottest trend in this field: machine learning. ML’s near-human performance in tasks like image recognition masks some really strange issues, because ML logic is not like our Earth logic.
We have some more machine learning news for you. Meet Kalimdor, a Typescript based machine learning library that promises to solve your ML problems as well as teach you how ML algorithms work.