SD Times news digest: HackerRank’s Tech Talent Matrix, eBay’s HeadGaze project and Android 9’s battery life improvements
HackerRank today announced a new machine learning solution designed to help companies in their software development hiring process. The HackerRank Tech Talent Matrix uses ML to provide companies the proper data on software developer candidates. It analyzes more than 150 million assessments and candidate data points in order to provide insights into technical recruiting efforts … continue reading
MapR unveils six new data science offerings for AI initiatives
MapR is introducing six new data science offerings aimed at customers that are at varying points in their data science journey at the Strata Data Conference happening in NYC today. The six offers are the AI/ML Hack-a-thon, MapR Data Science Refinery, Cybersecurity Advanced Protection, ML Deployment, AI Enablement and ML Rendezvous Orchestration. According to the … continue reading
SD Times Open-Source Project of the Week: Finetune
Enterprise AI solution provider Indico has announced a new open-source project for machine learning and natural language processing. Finetune is a “scikit-learn style model finetuning for NLP,” according to its GitHub page. Finetuning refers to a transfer learning approach that is meant to take a model that is trained on one task and adapt it … continue reading
SD Times Open-Source Project of the Week: Nyoka
Software AG is aiming to bring the burgeoning world of artificial intelligence, predictive analytics, machine learning and deep learning in line with the statistical and data mining industry standard of the Predictive Model Markup Language (PMML). Nyoka is a Python library, compatible with Python 3.5+, which features full support for the PMML XML-based predictive model … continue reading
SD Times news digest: Babel 7, Oculus VR education pilot programs, and Adobe XD
JavaScript compiler Babel version 7 is now available. According to the team, this release was two years, 4k commits, and more than 50 pre-releases in the making. “Babel 7 is a huge release: we’ve made it faster, created an upgrade tool, JS configs, config ‘overrides,’ more options for size/minification, JSX Fragments, TypeScript, new proposals, and … continue reading
Google Cloud Text-to-Speech now generally available
Google’s machine learning, speech synthesis technology is now officially available. Google Cloud Text-to-Speech was originally published by DeepMind about two years ago and updated about a year ago with WaveNet research, and announced by Google in March. The technology allows developers to “synthesize natural-sounding speech with 30 voices, available in multiple languages and variants,” the … continue reading
SD Times news digest: Google’s new Tensorflow-based framework, Toyota’s investment in Uber, and Mozilla’s Firefox user data
Google is releasing a new research framework for prototyping reinforcement learning algorithms. Dopamine is a Tensorflow-based framework designed with ease-of-use, reproducibility, and benchmarking in mind. Along with the framework, the company will provide a set of colabs for using the framework. For ease-of-use, Google will provide code that is compact and well-documented. For reproducibility, the … continue reading
SD Times news digest: New two-factor authentication approach, The LF Deep Learning Foundation and Linux 4.19-rc1
Researchers from the University of Alabama at Birmingham have announced a new two-factor authentication method that uses wearables and speech signals. The method “Listening-Watch” uses wearable devices such as smartwatches, activity trackers, and browser-generated speech sounds to perform two-factor authentication. “Listening-Watch offers two key security features,” said Nitesh Saxena, professor in the UAB College of … continue reading
Oracle launches GraphPipe for deploying machine learning models
Oracle wants to address machine learning problems with its newly announced open-source project GraphPipe. The project is a “dead simple machine learning model serving” solution. “There has been rapid progress in machine learning over the past few years. Today, you can grab one of a handful of frameworks, follow some online tutorials, and have a … continue reading
LinkedIn releases new data for finding and recruiting machine learning talent
As artificial intelligence becomes more popular, skills like machine learning and deep learning are becoming more in demand. New data released from LinkedIn shows job recruiters are fighting to find machine learning talent. “Machine learning is one of the most in-demand skills. It can feel like everyone’s competing for the same small talent pool, especially … continue reading
SD Times news digest: Serverless Platform Beta, MapR’s AI and ML course, and Samsung SmartThings Hub vulnerabilities
Serverless framework provider, Serverless, has launched the Serverless Platform Beta, which is a toolkit that provides teams with what they need in order to operationalize serverless development. The company also announced a $10 million Series A funding round, which they will use to expand active development on the Serverless Platform. According to the company, the … continue reading
Google doubles down on machine learning at Google Cloud Next 2018
Google announced new solutions for machine learning at its Google Cloud Next 2018 conference happening in San Francisco this week. The company revealed BigQuery ML, AIY Edge TPU Dev Board, and AIY Edge TPU Accelerator. BigQuery ML is a new capability inside the Google BigQuery solution, which provides interactive analysis of large datasets in order … continue reading
