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Nordic Data Science and Machine Learning Summit 2019 – Accelerating Data & AI Innovation
Nordic Data Science and Machine Learning Summit is an annual event bringing together the Data Science Community in the Nordics to share ideas, and discuss ways to harness the full potential of Data Science and Machine Learning. The agenda is suited to guide you through the process of extracting knowledge from data by using the latest methodologies, tools and algorithms. With domestic and international speakers on stage, workshops, interactive panel discussion and plenty of learning and networking activities in the exhibition area, the Nordic Data Science and Machine Learning Summit is the place to be for all professionals and organisations working with utilization of Data Science, Machine and Deep Learning, to innovate and improve their business. For those who would like to get an opportunity to dive deep into a particular topic, process, or technology, we are setting up some Hands-on three-hour workshops with coffee break in-between. Three of the workshops with be technical and one on strategy and value.
From Ohio's "baby bot" to driver's ed in Delaware: How states are using AI ZDNet
As in many other industries, the public sector is dipping its toe into the world of AI with chatbots. According to a new survey, nearly a quarter of US states are already deploying chatbots or digital assistants for a range of use cases. These robotic process automation (RPA) tools are helping with everything from enrolling infants in health programs to tutoring new drivers. What is AI? Everything you need to know about Artificial Intelligence At the same time, these simple tools are providing state technology leaders with an easy introduction to intelligent automation, laying the groundwork for more ambitious AI deployments. Nearly nine out of 10 states are using or have some planned use for AI, according to the survey published Tuesday by the National Association of State Chief Information Officers (NASCIO) and the Center for Digital Government, with support from IBM. Conducted in August, the survey is based on responses from CIOs and other technology leaders in 45 US states.
Trevor Paglen exhibition highlights how prejudice is tainting AI
A COUPLE of days before the opening of Trevor Paglen's latest photographic installation, From "Apple" to "Anomaly", a related project by the artist found itself splashed all over the papers. ImageNet Roulette is an online collaboration with artificial intelligence researcher Kate Crawford at New York University. The website invites you to provide an image of your face.
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'League of Legends' maker Riot Games has new legends in the works
This video covers the action of the 2018 League of Legends World Championship and previews the 2019 event. Riot Games, publishers of "League of Legends," is looking to expand its lore. For starters, there are some new features coming to the super-popular online video game, which turns 10 this month. Beyond that, Riot Games announced Tuesday it is working on several other projects including new shooter and strategy games, as well as a trio of new video games set in the "League of Legends" universe. The game publisher announced these developments as part of its 10th anniversary livestream Tuesday night.
The best robot vacuums of 2019
If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. Whether you just like the idea of letting a robot handle cleaning up your floors or you just don't like to vacuum, a robot vacuum cleaner can be a real help. But with so many companies making robot vacuums, how do you know if any of them are actually worth the money? Luckily, we've done the hard work for you. We have a specially built obstacle course in our labs that tests how well robot vacuums pick up dirt, navigate around ytour furniture, and deal with floor types from hardwood floors to low- and high-pile carpets.
Machine learning system may offer warnings about negative side effects of drug-drug interactions
The more medications a patient takes, the greater the likelihood that interactions between those drugs could trigger negative side effects, including long-term organ damage and even death. Now, researchers at Penn State have developed a machine learning system that may be able to warn doctors and patients about possible negative side effects that might occur when drugs are mixed. In a study, researchers designed an algorithm that analyzes data on drug-drug interactions listed in reports -- compiled by the Food and Drug Administration and other organizations -- for use in a possible alert system that would let patients know when a drug combination could prompt dangerous side effects. Let's say I'm taking a popular over-the-counter pain reliever and then I'm put on blood pressure medicine, and these medications have an interaction with each other that, in turn, affects my liver. Essentially, what we have done, in this study, is to collect all of the data on all the diseases related to the liver and see what drugs interact with each other to affect the liver." Drug-drug interaction problems are significant because patients are frequently prescribed multiple drugs and they take over-the-counter medicine on their own, added Kumara, who also is an affiliate of the Institute for CyberScience, which provides supercomputing resources for Penn State researchers. "This study is of very high importance," said Kumara. "Most patients are not on one single drug.
Seven helpful chatbot building tips for your brand
Make sure you understand the value a chatbot will bring to your business. Massive returns are being created for companies like Coca-Cola and Bank of America because of chatbots. Countless companies are being won over, and you should consider using chatbots for your brand, as well. Here are seven helpful ideas for you to use when building a chatbot for your brand. Make sure that when you are creating your chatbot icon, it shows the characteristics of your brand.
Documentary Data Science Pioneers Hits the Big Screen
And at Dataiku, we believe that having a global transparency and understanding into who data scientists really are, what they do, and what role they have to play in the future will help steer a more positive and productive path for the AI revolution." Dataiku will be hosting several premiere events globally, bringing the film to major cities across the world including New York, London, Amsterdam, Sydney, and Paris. Exclusive screenings will also be held at corporate offices for companies as a whole or data science teams. To view the trailer, get the full press kit, apply to host a screening, attend a premiere, or for further information about the film, please visit https://www.datascience.movie/ Dataiku is the centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. With Dataiku, businesses are uniquely empowered to move along their data journey from data preparation to analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.
AI: Understanding bias and opportunities in financial services
It is undeniable that our lives have been made better by artificial intelligence (AI). AI technology allow us to get almost anything, anytime, anywhere in the world at the click of a button; prevent disease epidemics and keep them from spiralling out of control, and generally just make day-to-day life a bit easier by helping us to save energy, book a babysitter, manage our cash and our health all at a very low cost. AI's penetration into systems and processes in virtually all sectors of business and life has been rapid and global. The speed and scale at which AI is proliferating does however raise the question of how at-risk we may be that the AI we are building for good can also be introducing damaging bias at scale. In this two-part series, I explore the issues with AI constructs, the good bad and the ugly and how we can think about shaping a future through AI in financial services that helps lift people up rather than scaling problems up.