Slovenia


Robots face 'sabotage' from human co-workers fearing they will be replaced. But is that a surprise?

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British healthcare workers are hostile to their robotic co-workers, committing "minor acts of sabotage" such as standing in their way, according to a recent study by De Montfort University, which chided the humans for "not playing along with" their automated peers. The researchers contrasted the "problematic" British attitude with that of Norwegian workers, who embraced their silicon colleagues, even giving them friendly nicknames. Some 30 percent of UK jobs will be lost to automation within 15 years if current trends continue apace, according to PricewaterhouseCoopers. The percentage is even greater in the US (38 percent) as well as Germany and France (37 percent), but falls to 25 percent in Scandinavian countries like Norway and Finland. Perhaps this explains the difference in workplace interactions between the British and the Norwegians - the latter aren't as worried about losing their jobs to an electronic interloper.


Artificial intelligence and Education, Planning education in the AI Era: Lead the leap

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The latest advance in AI technologies opens up new opportunities to tackle resistant issues and barriers in education, in order to accelerate the achievement of the Education 2030 Agenda. This is also a key message from President Xi's congratulatory letter to the Conference. Member States are aware of the potential of AI in education but promote strategic implementation at policy levels to varying degrees. While some countries already have national AI strategies and initiatives in place, some are still lagging behind, stalled at the awareness-raising stage. Some national pioneering practices reflected at the conference include China's'New Generation AI Development Plan', Japan's'Society 5', Slovenia's international AI research centre, and the EU's AI strategy.


Mind-reading AI may spell end to humanity as we know it, but not because it will enslave us – Zizek

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A computer that can read the thoughts of many people at once would make normal human life impossible, the Slovenian cultural philosopher told RT in the wake of the World Artificial Intelligence (AI) Conference in Shanghai, which saw Alibaba's chairman Jack Ma and Tesla CEO Elon Musk clashing over the future of AI. While the two technopreneurs engaged in a heated discussion over the possibility of humans being controlled by machines in the future, the senior researcher at the Institute for Sociology and Philosophy at the University of Ljubljana shared his thoughts on the issue with RT. What I am studying now is the so-called phenomenon of wired brains, a possibility of our brains being connected with strong digital machines. And that is not a utopia. In the media lab at MIT, Massachusetts, they already have simple machines like that.


Mind-reading AI may spell end to humanity as we know it, but not because it will enslave us – Zizek

#artificialintelligence

A computer that can read the thoughts of many people at once would make normal human life impossible, the Slovenian cultural philosopher told RT in the wake of the World Artificial Intelligence (AI) Conference in Shanghai, which saw Alibaba's chairman Jack Ma and Tesla CEO Elon Musk clashing over the future of AI. While the two technopreneurs engaged in a heated discussion over the possibility of humans being controlled by machines in the future, the senior researcher at the Institute for Sociology and Philosophy at the University of Ljubljana shared his thoughts on the issue with RT. What I am studying now is the so-called phenomenon of wired brains, a possibility of our brains being connected with strong digital machines. And that is not a utopia. In the media lab at MIT, Massachusetts, they already have simple machines like that.


Big Data Analyst - IoT BigData Jobs

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Assist the team by helping to develop an automated data analytics system using Amazon Web Services (AWS) Data Pipelines for creating data driven workflows to Amazon RedShift / and / or Amazon Dynamo DB (No SQL) Leverage Apace Spark in AWS environment for data driven workflow automation Collaborate with the team to produce API's from either Dynamo DB or Redshift that can be consumed by either standard Business Intelligence tools or build your own JS/HTML5 visualization Develop unit tests Understanding of agile and other development processes and methodologies Research and develop methods for measuring and analyzing hardware data Research new algorithms and methods for optimizing data quality and business growth Research new ways for modeling hardware usage behavior through quantitative analysis Lead investigations into multiple streams of hardware data Design experiments to answer targeted questions Experience level Beginner Development (1-4 years' experience) Required skills M.S. degree in Computer Science or equivalent practical experience 1-3 year development experience with Java, SQL, JSON, REST, Junit, Git, Apache Tomcat 1-2 years of development experience in AWS environment with preference to Spark, Scala, AWS RedShift and AWS Dynamo DB 1 years of development experience on any of the mobile platforms – Apple, Android Experience working in Linux environment Experience with statistical software (R, S-Plus, SAS, WEKA or similar) Experience with databases and scripting languages (such as Python), Scala Ability to draw conclusions from data and recommend actions Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques Preferred skills 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods, time series forecasting Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS, WEKA or similar) Experience with data visualization tools like Tableau, TIBCO Spotfire


Quest for Quality - Software QA and Testing Conference 5-6 Nov 2019

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Quest for Quality is a 2-day forward-thinking annual software QA and testing conference, discussing the latest trends and topics of the quality assurance, bringing together international thought leaders addressing latest challenges of new technologies. The 2019 conference will focus on the intersection of AI and quality assurance, as well as how AI has become a stalwart for many organizations across almost every industry and a major part of people's daily lives. In particular, the event will explore the issue of efficiency in software testing prior to roll-out, the accuracy and effectiveness of AI in testing as well as the role of historical data and human influence in AI-tested processes. Quest for Quality began its journey in 2016 in Ljubljana, Slovenia, bringing together professionals from 12 different European countries and 79 different companies. In 2017, we decided to bring the Quest community spirit to the very heart of technology – the European Silicon Valley in the city of Dublin in Ireland.


Is AI Going To Be A Jobs Killer? New Reports About The Future Of Work

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Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that "advances in automation technology will handle many tasks now done by people." The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.


Is AI Going To Be A Jobs Killer? New Reports About The Future Of Work

#artificialintelligence

Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that "advances in automation technology will handle many tasks now done by people." The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.


Confessions of an accidental doom-monger

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IT IS ONE of the most widely quoted statistics of recent years. No report or conference presentation on the future of work is complete without it. Think-tanks, consultancies, government agencies and news outlets have pointed to it as evidence of an imminent jobs apocalypse. The finding--that 47% of American jobs are at high risk of automation by the mid-2030s--comes from a paper published in 2013 by two Oxford academics, Carl Benedikt Frey and Michael Osborne. It has since been cited in more than 4,000 other academic articles.


Slovenia to Set Up International Artificial Intelligence Research Center

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The Slovenian government has announced plans, with official backing from UNESCO, to set up Europe's first international artificial intelligence research center. The Department of Intelligent Systems at the Jožef Stefan Institute (JSI) in Ljubljana will convert into a center that focuses on the governance and policies surrounding artificial intelligence (AI). At an event celebrating the 70th anniversary of the institute, Slovenia's Prime Minister, Marjan Šarec, said: "All of this Slovenian know-how which has been applied for all these years, and all the knowledge that we possessed in the past and that we still possess today is undoubtedly a reason for us, or should I say you, to be proud," Slovenia has a history and dedication to the field of AI- having embraced it as far back as 1972 when research at the JSI and the University of Ljubljana first began. In the 90s, there was a continued expansion of Slovenian AI research, starting with'heuristic search' into areas like machine learning and qualitative reasoning. As a result, this period provoked an increase in the presence of Slovenian researchers and publications in academia.