This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Matti Lyra and other experts will be giving talks on Natural Language Processing, Machine Learning, AI Ethics and many related data fields. You can also find a more detailed blog post on Matti Lyra's personal blog at https://mattilyra.github.io Many online platforms that deal with natural language documents face a big problem: thousands of duplicate documents.

Bose has officially announced the QuietComfort 25 II or the QC35 II, its first wireless headphones with Google Assistant support. The Bose QC35 II still comes with all the features included with last year's model, including the same sound quality and noise cancelling technology. "The QC35 is already the world's most celebrated wireless headphone, and a survival tool for modern life," Bose on-the-go products director Brian Maguire said. "We didn't change anything that people already love – with the Google Assistant built in, and new choices for what you hear, we made it better." The Bose QC35 II is the first pair of headphones to have Google Assitant integration.

Drones are becoming an important part of the emergency services. Police are using them to search for missing people, while fire departments test them as a tool to survey dangerous sites. Until now, however, we haven't seen or heard about them being used by the coastguard. That all changes today, however, as a lifeboat service in Norfolk, England, has started using them in open water. As the BBC reports, they're equipped with cameras that can live-stream footage to monitors inside the boat.

Last week, we reported that Bose's QuietComfort 35 II Bluetooth headphones might include Google Assistant. Bose has revealed that this pair of QC headphones is the first to have a Google Assistant integration. In order to use Google Assistant, just press the "Action" button on the QC35 headphones. You can then talk to it, the same way you would on your phone. You can hear incoming messages, calendar appointments and more.

Governments are having a hard time keeping up with the world of technology, and the EU is no different. By its very nature, governing bodies are slow to change, while the tech industry's speed is astounding -- it's basically like a hippo chasing a cheetah. Tech.eu reported on the unintended side-effects of the new reforms. According to the tech site, there's a general consensus about the reforms' big-picture but the nitty-gritty is hotly debated, especially how it will affect startups. Turns out, startups built around AI, machine learning and big data will be particularly affected.

A police officer of SBA controls a drone during a demonstration at the British police station inside the British military base in Dhekelia in southeast of the island of Cyprus, Thursday, Sept. 21, 2017. Police at Britain's two military bases on Cyprus say the use of a state-of-the-art drone will greatly boost their ongoing crackdown on the illicit trapping of migratory birds.

Seventeen startups from around the world will showcase their digital innovations this year at Oracle OpenWorld, displaying everything from intelligent contact hubs for customer engagement to an innovation-and talent-sourcing platform to a maintenance application that uses deep learning to predict when industrial equipment is about to malfunction. Participating startups were chosen from the first global class of the Oracle Startup Cloud Accelerator program, which gives select technology and technology-powered startups six months of mentoring and other kinds of support--including engagement opportunities with Oracle's more than 400,000 global customers. Thousands of applicants across more than eight countries applied for admission to the program, with judges from Oracle and industry executives scoring each company on the strength of its management team, its use of technology, and market traction. Startups get ready to pitch at Oracle's Startup Cloud Accelerator in Bristol, England. England-based GRAKN.AI is one of the 17 program members traveling to Oracle OpenWorld for the event, October 1 to 5 in San Francisco.

Low income, rural, elderly, or ailing patients might not have the means to travel to receive care, and consequently opt for healthcare services at home. Home healthcare is a rapidly expanding market: according to M&M, it is expected to reach $349.8 billion by 2020 globally from $227.5 billion in 2015, at a CAGR of 9.0% during the forecast period. The industry is transforming, and home healthcare companies must adapt to an increasingly digitalised world to remain competitive. In the UK specifically, healthcare organisations, including those within the publicly funded national health system (NHS), are fully aware of the challenges they face: an ageing population will require increased care (often at home due to mobility issues), but budgets are already under intense pressure. Transformation is the only option, and technology is its key driver.

The last year has seen a move by IT vendors to introduce increasing amounts of artificial intelligence (AI), machine learning and cognitive systems. How well the solutions meet the claims made by vendors is not part of this article. What is important is that companies are feeding these systems vast amounts of data to do advanced analytics. The advantage of using these systems is that they are able to deliver solutions far faster than data scientists and security analysts can. For business units, this is good news.

Data Mining is the computational process of discovering patterns in large data sets involving methods using the artificial intelligence, machine learning, statistical analysis, and database systems with the goal to extract information from a data set and transform it into an understandable structure for further use. Jubatus, MiningMart, Databionic ESOM, Apache Mahout, TraMineR, ROSETTA, KEEL, ADaM, ML-Flex, Modular toolkit for Data Processing, Dataiku, SenticNet API, LIBSVM and LIBLINEAR, Lattice Miner, Gnome datamine tools, yooreeka, AstroML, jHepWork, ARMiner, and arules are some of the top free data mining software. Orange is an open source data visualization and analysis tool. Orange is developed at the Bioinformatics Laboratory at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia, along with open source community. Data mining is done through visual programming or Python scripting.