Our growing interest in data science and big data led us to attend the Data Science Łódź #16 meetup. While machine learning with the use of quantum computers still technically counts as data processing, it's on a level mankind has not seen before. Read on and learn the key concepts in the field of quantum machine learning (QML). Maciej Adamiak of SoftwareMill and Adam Mickiewicz University in his informative presentation titled "Quantum-assisted machine learning" demonstrated a machine learning algorithm that combines the operating principles of a classical computer with those of a quantum computer. He also showed examples of Python source code written to run on a quantum computer.
Open GI is one of the leading technology partners to the General Insurance industry. Open GI provides a range of configurable insurance software to insurance brokers, underwriting agencies, insurers and MGAs in the UK and Ireland. Its digital insurance solutions, which includes Mobius and Core, provide multi-line, multi-channel, multi-brand trading capability complemented by innovative eCommerce and mobile technologies. Open GI is part of the Open International Group and has 550 staff across offices in Worcester, Dublin, London, Winchester, Milton Keynes, Skopje and Krakow. Machine Learning Programs offers a range of AI and machine learning services to the general insurance market and financial services sector.
As a child of refugees, my parents' narrative is missing huge gaps of information. In our data rich world, archivists are finally piecing together new clues of history using unmanned systems to reopen cold cases. The Nazis were masters in using technology to mechanize killing and erasing all evidence of their crime. Nowhere is this more apparent than in Treblinka, Poland. The death camp exterminated close to 900,000 Jews over a 15-month period before a revolt led to its dismantlement in 1943.
Online supermarket Ocado has announced plans to open a London tech hub that will create 260 digital jobs as it plans to bolster the talent behind its smart platform. The Ocado smart platform will be sold to companies across the world to help them move online, the company has said. The London office, which will be based in Old Street, becomes the company's sixth development centre, with others in Hatfield, Bulgaria, Spain and two in Poland. "We're excited to be expanding our network of development hubs into London, a city renowned for being at the forefront of tech innovation and home to many talented technologists," said Ocado Technology chief executive James Matthews "As we are growing rapidly, we are always on the lookout for people who share our drive to innovate," Matthews added. "This London hub joins our network of development centres to offer exciting employment opportunities for ambitious, tech-savvy individuals."
Welcome to EURACTIV's Digital Brief, your weekly update on all things digital in the EU. You can subscribe to the newsletter here. With the Brits and the Dutch heading to the polls today, the big news of the week is the story that Facebook has removed around 80 pages spreading fake news or using tactics aimed at unfairly influencing the polls. The takedowns came following a discovery by the human rights group Avaaz, in which it uncovered far-right disinformation networks in France, UK, Germany, Spain, Italy and Poland, posting content that was viewed an estimated 533 million times over the past three months. EURACTIV Digital went to investigate further and paid Avaaz a visit at their recently opened'Citizens' War Room' in Brussels (pictured below).
In February 2019 Polish government added an amendment to a banking law that gives a customer a right to receive an explanation in case of a negative credit decision. This means that a bank needs to be able to explain why the loan wasn't granted if the decision process was automatic. In October 2018 world headlines reported about Amazon AI recruiting tool that favored men. Amazon's model was trained on biased data that were skewed towards male candidates. It has built rules that penalized résumés that included the word "women's".
Recent studies in information extraction domain (but also in other natural language processing fields) show that deep learning models produce state-of-the-art results . Deep architectures employ multiple layers to learn hierarchical representations of the input data. In the last few years, neural networks based on dense vector representations provided the best results in various NLP tasks, including named entities recognition , semantic role labelling , question answering  and multitask learning . The core element of most deep learning solutions is the dense distributed semantic representation of words, often called word embeddings. Distributional vectors follow the distributional hypothesis that words with a similar meaning tend to appear in similar contexts.
In the marketplace for artificial intelligence technology, giant companies like Google, Amazon, and Microsoft offer a powerful, centralized approach: They sell access to platforms for machine learning that hoover up vast amounts of users' personal and proprietary information and use that data to train AI models. A new development called federated learning offers an alternative to the centralized model. It promises to distribute the power of machine learning to mobile phones, IoT devices, and other equipment on the network edge. The payoff: Better performance and enhanced data security. By distributing AI training to the edge, "you speed up the training process significantly, and you get better accuracy," says Marcin Rojek, co‑founder at byteLAKE, a Poland‑based company working on federated learning solutions using Internet of Things (IoT) devices.
In 2014, the Swedish philosopher and cognitive scientist Peter Gärdenfors went to Krakow, Poland, for a conference on the mind. He was to lecture at Jagiellonian University, courtesy of the Copernicus Center for Interdisciplinary Studies, on his theory of conceptual, or "cognitive," spaces. Gärdenfors had been working on his idea of cognitive spaces, which explain how our brains represent concepts and objects, for decades. In his book Conceptual Spaces, from 2000, he wrote, "It has long been a common prejudice in cognitive science that the brain is either a Turing machine working with symbols or a connectionist system using neural networks." In Krakow, Gärdenfors pushed against that prejudice.