GitHub has released machine learning data from its 2018 State of the Octoverse report. According to the report, the top programming languages for machine learning on GitHub include Python, C++, JavaScript, Java and C#. In addition, the team took a look at the top machine learning projects on GitHub, which included TensorFlow, SciKit-Learn, spaCy, Julia … 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
Leading up to the release of TensorFlow 2.0, the team behind the library has revealed some of its plans for the upcoming version of the machine learning framework. According to the TensorFlow team, TensorFlow 2.0 will focus on simplicity and ease of use. “We’re very excited about TensorFlow 2.0 and the changes to come. TensorFlow … 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
As the end of 2018 approached, many artificial intelligence technologies like visual testing, chatbots and language recognition had matured to the point of ubiquity. Two years since SD Times’ “Year of AI,” the conversations around AI and machine learning have shifted further and further away from potential applications and surprising new uses of the tech. … continue reading
Android 9 Pie was initially released to Google devices on August 6, 2018, and now OnePlus’ 5 and 5T devices are the latest to begin receiving the update. The OTA (over-the-air) release will be incremental, with a small percentage of users getting the update today and a wider rollout beginning in a few days, the … 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
Six months after Google first detailed its seven principles for AI, the company is expanding on that effort with additional initiatives that will help it live up to its promise. In an effort to encourage teams within the company to consider how the AI principles impact their projects, Google has established several initiatives. It launched … continue reading
Cloud company Box has announced the release of Box Skills, which will enable developers to enhance their Box products with AI. Skills are code snippets that run when files are uploaded to Box and apply AI to them. Examples of Skills include labeling objects or people in images and videos, extracting information from customer contracts, … continue reading
Facebook has been working on its own natural language processing (NLP) framework for overcoming rapid experimentation and large-scale deployment challenges. PyText is a library based on the company’s open-source deep learning framework PyTorch. In an effort to help developers build and deploy NLP systems, the company has decided to also open source the PyText framework … 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
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
