Neptune 1.3 with TensorFlow integration and experiments in Docker

We’re happy to announce that a new version of Neptune became available this month. The latest 1.3 release of deepsense.ai’s machine learning platform introduces powerful new features and improvements. This release’s key added features are: integration with TensorFlow and running Neptune experiments in Docker containers.

deepsense.io brings Big Data to the United Nations Office of Information and Communications Technology

deepsense.io brings Big Data to the United Nations Office of Information and Communications Technology

deepsense.io is pleased to announce the results of its multi-month machine learning-based collaboration with the United Nations Office of Information and Communications Technology (ICT).

Machine Learning Models Predicting Dangerous Seismic Events

Machine Learning Models Predicting Dangerous Seismic Events

Underground mining poses a number of threats including fires, methane outbreaks or seismic tremors and bumps. An automatic system for predicting and alerting against such dangerous events is of utmost importance – and also a great challenge for data scientists and their machine learning models. This was the inspiration for the organizers of AAIA’16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines.

CodiLime is second fastest-growing tech firm in Central Europe – 2016 Deloitte CE Technology Fast 50 list announced

CodiLime is second fastest-growing tech firm in Central Europe – 2016 Deloitte CE Technology Fast 50 list announced

Menlo Park, CA and Warsaw-based CodiLime ranks 2nd in this year’s Deloitte Central Europe Technology Fast 50 list of the region’s fastest-growing tech companies. CodiLime provides IT consulting and software engineering services in three core areas: networks, security as well as Big Data & deep learning through its deepsense.io subsidiary.

World premiere of Neptune - deepsense.io’s new machine learning platform for managing data science experiments

World premiere of Neptune – deepsense.io’s new machine learning platform for managing data science experiments

deepsense.io announced the launch of Neptune – its innovative machine learning platform for managing multiple data science experiments. The premiere took place at the inaugural A.I. Conference (September 26-27) as well as this year’s Strata + Hadoop World (September 27-29), both being held in New York City.

deepsense.io announces Seahorse 1.3 release at 2016 Strata+Hadoop World NY

deepsense.io announces Seahorse 1.3 release at 2016 Strata+Hadoop World NY

Latest version of deepsense.io’s flagship Big Data product now features Spark 2.0 support, external Spark clusters, and custom operations and notebooks in R

Playing Atari on RAM with Deep Q-learning

In 2013 the Deepmind team invented an algorithm called deep Q-learning. It learns to play Atari 2600 games using only the input from the screen. Following a call by OpenAI, we adapted this method to deal with a situation where the playing agent is given not the screen, but rather the RAM state of the Atari machine. Our work was accepted to the Computer Games Workshop accompanying the IJCAI 2016 conference. This post describes the original DQN method and the changes we made to it. You can re-create our experiments using a publicly available code.

Neptune – Machine Learning Platform

deepsense.ai is releasing a new product. Neptune – a machine learning platform. Read about how we got the idea for Neptune and its main features.

R Notebook and Custom R Operations in the new Seahorse release

R Notebook and Custom R Operations in the new Seahorse release

Presenting new features in Seahorse, Release 1.3 – custom operations in R and enhanced data exploration capabilities in an R Notebook.

ODSC UK 2016: Open Data Science Conference and deepsense.io Take London’s Machine Learning Scene By Storm

ODSC UK 2016: Open Data Science Conference and deepsense.io Take London’s Machine Learning Scene By Storm

deepsense.io is happy to announce a broad cooperation with Open Data Science Conference (ODSC) in London.