Topic: machine learning

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

Google enters the next step in AI and cloud democratization at Google Cloud Next

Google revealed new ways it is tackling AI democratization and the cloud at its Google Cloud Next 2018 conference in San Francisco this week. “What we are trying to do with Cloud AI is to make it possible for everyone in the world to use AI and to build great models for their purposes,” Rajen … continue reading

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