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Is machine learning the future of marketing?

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Will it be entirely automated by smart AIs that fully understand human nuance? Will it be entirely manual and managed only by individual people without the aid of technology? As we'll discuss shortly, the top influencers in marketing put their heads together on this very topic, and the results may surprise you. In any case, it's safe to say that marketing probably isn't going back to the old days of billboards, newspapers, and radio spots. The numbers don't lie: the future of marketing is definitely digital.


Team Rtus wins Munich Re Datathon with mlr

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Team Rtus was formed in April this year by a bunch of statistics students from LMU with the purpose to prove their data-skills in competitions with other teams from various backgrounds. The datathon was centered around the topic "the effects of climate change and hurricane events on modern reinsurance business" and after two days of very intensive battles with databases, web-crawlers and advanced machine learning modelling (using the famous R-library mlr), they managed to prevail against strong professional competitors and won the best overall price. After victories at the Datafest at Mannheim University and the Telefonica data challenge earlier this year, this was the last step to a hattrick for the core members of team Rtus. Their way to success was the implementation of an interactive web-app that could serve as a decision support system for underwriting and tariffing units at Munich Re that are dealing with natural catastrophies. Munich Re provided the participants with databases on claims exposure in the Florida-bay, footprints of past hurricanes and tons of data on climate variable measurements over the past decades.


Revitalizing manufacturing through AI – Andrew Ng – Medium

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I am excited to announce Landing.ai, a new Artificial Intelligence company that will help other enterprises transform for the age of AI. We will initially focus on the manufacturing industry. AI is already transforming the IT industry. In my work leading Google Brain and Baidu's AI Group, I've been fortunate to play a role in the transformation of two great Internet companies, and see firsthand the benefits modern AI brings to these businesses and to their users. It is now time to build not just an AI-powered IT industry, but an AI-powered society.


AI and Machine Learning – The Potential to Challenge and Transform

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Artificial intelligence and its subset, machine learning – two topics that make great dinner talk. Many businesses are already using AI, and there's little doubt that advances in AI and machine learning will continue to change how we work. But ask any IT leader how or where that's most likely to happen and the conversation may go on all night. One thing is clear: Technology that's equipped with AI or machine learning can be a powerful tool for the kinds of tasks humans just can't master. Machines can recognize sequences in large volumes of data, identify behavior that doesn't fit normal use patterns, or apply speech recognition to unusual applications.


These deep learning algorithms outperformed a panel of 11 pathologists

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During a 2016 simulation exercise, researchers evaluated the ability of 32 different deep learning algorithms to detect lymph node metastases in patients with breast cancer. Each algorithm's performance was then compared to that of a panel of 11 pathologists with time constraint (WTC). Overall, the team found that seven of the algorithms outperformed the panel of pathologists, publishing an in-depth analysis in JAMA. "To our knowledge, this is the first study that shows that interpretation of pathology images can be performed by deep learning algorithms at an accuracy level that rivals human performance," wrote lead author Babak Ehteshami Bejnordi, MS, Radboud University Medical Center in Nijmegen, the Netherlands, and colleagues. The simulation took place during the Cancer Metastases in Lymph Nodes Challenge 2016 (CAMELYON16) in the Netherlands.


Telenor Research: 7 Tech Trends for 2018

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"When big changes happen it is often because regulation, user preference and technology converge – mobile telephony is one example, the car another. We have picked the trends that we think are both illuminating and important to stay on top of ahead of the New Year," says Bjørn Taale Sandberg, Head of Telenor Research. Consumer-trends such as face recognition, on-demand services and 360-photos aside, what seismic shifts in the broader technology landscape might shake things up in 2018? Looking ahead, scientists and technology analysts at Telenor Group's research arm, Telenor Research, see seven tech trends coming our way: Facebook users are posting less and the amount of relevant information on the Facebook newsfeed is dropping, giving way to an increasing amount of professional and paid content – of varying relevance. Users are also likely becoming more critical as awareness rises around "fake news" seeping into their feeds.


Can AI create a new game? A challenge.

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Here's a challenge for researchers in artificial intelligence and machine learning: build an application that can invent a new game that's as interesting as Chess or Go. If nothing else, that gets you some serious Turing cred. There goes my assumption that this is completely new territory. It looks like a small research community is working on AI game development, though it's focused on video games.) What do I mean by "interesting"?


Can AI win the war against fake news?

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It may have been the first bit of fake news in the history of the Internet: in 1984, someone posted on Usenet that the Soviet Union was joining the network. It was a harmless April's Fools Day prank, a far cry from today's weaponized disinformation campaigns and unscrupulous fabrications designed to turn a quick profit. In 2017, misleading and maliciously false online content is so prolific that we humans have little hope of digging ourselves out of the mire. Instead, it looks increasingly likely that the machines will have to save us. One algorithm meant to shine a light in the darkness is AdVerif.ai,


Use machine learning to find energy materials

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The world needs more energy. Governments and companies are investing billions of dollars in technologies to harvest, convert and store power1. And as silicon solar cells approach the limit of their performance, researchers are looking to alternatives based on perovskites and quantum dots2. The batteries that store the energy must get cheaper, more efficient and longer-lasting3. And devices need to be manufactured from safe and abundant materials such as copper, nickel and carbon rather than from lead, platinum or gold.


Digital healthcare accelerator offers £68k to machine learning, AI start-ups

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Artificial intelligence (AI) start-ups will be given the opportunity to receive up to £68,000 in funding as part of the 2018 Velocity Health programme. Velocity Health is an accelerator programme spear-headed by global healthcare firm Merck Sharp & Dohme (MSD) and Wayra UK, the accelerator platform owned by Telefónica. It was set up in 2015 and targets start-ups working to meet the challenges facing the NHS. This year, MSD and Wayra UK are seeking firms using machine learning and AI to support disease and illness prevention. Two companies will be offered a maximum of £68,000 each in funding and "acceleration services".