Research reveals benefits of integrating machine learning into remote monitoring. Home healthcare software provider AlayaCare and home health provider We Care (part of the CBI Health Group)have released a white paper providing insight into how machine learning/artificial intelligence, when integrated into remote patient monitoring, can reduce hospital readmissions and emergency room visits. According to the study, Better Technology, Better Outcomes: The Effects of Machine Learning Powered Remote Patient Monitoring on Home Health Care, machine learning is a branch of artificial intelligence (AI) based on mathematical algorithms and automation, designed to automate the building of analytical models that use algorithms to learn from data in an iterative fashion. As the machine learns from its mistakes, it can improve its results to produce reliable, repeatable decisions. Machine learning algorithms have already been successfully applied in a range of industries from finance to retail and even healthcare.

A recent survey found that only 27 per cent of application problems were detected by application performanceParrot Bebop 2 is best drone in consumer market. Read more ... » monitoringBlockchain intelligence firm Elliptic completes 5m Series A. Read more ... » tools, leaving the majority unnoticed. This large gap could be closed by the use of anomalyManaging Internet of Things risks. However, as there are various ways of defining an anomaly, perhaps the different types can be distinguished with different labels. StatisticalResearchers are using AI to hack encrypted traffic so they can see when you're on YouTube.

DANKO NIKOLIC has spent his life studying human intelligence. Lately, however, he's been thinking about the artificial kind. Just how smart can AI get? Are we really headed towards the so-called technological singularity? That was the topic of a debate in Berlin last month. Nikolic, a neuroscientist at the Max Planck Institute for Brain Research in Frankfurt, stood up in front of an audience of artificial intelligence researchers and made a bold claim: we will never make a machine that is smarter than we are. "You cannot exceed human intelligence, ever," says Nikolic. "You can asymptotically approach it, but you cannot exceed it."

Nowadays because of the internet we are flooded with waves of data to such an extent that we actually don't need more data, more spread-sheets, or even more beautiful visualizations. Instead, what we need are the key takeaways with surgical deep drill-downs. At best, risk data and analytics technologies aggregate, analyze, and visualize data. Even so, an important gap remains: the story of what that risk data means, and how to interpret this data. The problem is that companies don't have a way to efficiently bridge this gap and convey the most important and interesting information within the risk data to benefit people all across the business.

When Google's AlphaGo program beat grandmaster Lee Se-Dol four games to one, both programmers and professional Go players were surprised. The general consensus was that it would be years before a computer could defeat a human at the complex board game, which players describe as requiring elegance and imagination. Director of the MARCS Institute for Brain, Behaviour and Development and electrical engineering professor, Jon Tapson, said AlphaGo's victory was cause for a re-evaluation of how we use artificial intelligence (AI). "They could find ways of manipulating the stock market -- maybe by buying and selling shares in rapid succession to create the illusion of a change in market sentiment," he said. He said unless there was reason to go looking, it was unlikely humans would notice that kind of behaviour, and that it would be difficult to program or regulate the actions of an AI if we do not know how it makes decisions.

Jose Luis Cordeiro is a futurist thinker, the director of the Venezuelan node of the Millennium Project as well as energy advisor and part of the founding faculty of Singularity University (SU). In his speech at this year's START Summit he passionately argued that things like human-level artificial intelligence or physical immortality aren't nearly as far away in the future as most people would think, due to the power of exponential growth patterns observed in Moore's Law and other key areas, and he shared his vision of how technology will change almost every aspect of our lives, including ourselves. His conception of the future is very similar to that of his friend, the author, inventor, director of engineering at Google and co-founder of Singularity University, Ray Kurzweil. Both are radical optimists, both believe in a merger of humans and machines and both don't shy away from controversy. After Cordeiro's keynote I had the chance to do a short interview with him.

There is more to location tracking than triggering avalanches of advertising when you walk by a store. Location is a key element to a specific field of artificial intelligence called context awareness. It can be used to determine where you are, where you're heading to, and your current needs. For example, it is only natural that one expects a person to behave differently in a church and in a disco. Context awareness is about giving devices enough intelligence to tell the difference between a sacrament and a party, and adjust accordingly.

What makes the UK such a breeding ground for businesses working with Artificial Intelligence? We asked Alexandre Flamant and John Henderson, Co-founders of the LondonAI meetups, for their thoughts. Last week, a prototype programme from Google DeepMind achieved what many commentators thought would take at least another decade: it won a five match series of the ancient Chinese board game Go against reigning world champion Lee Sedol. In doing so, AlphaGo made a number of'creative' moves that flummoxed Go experts – no human would have ever played in such a way. This is true intelligence, even if currently confined to a specific board game.

Humans have been taking a beating from computers lately. The 4-1 defeat of Go grandmaster Lee Se-Dol by Google's AlphaGo artificial intelligence (AI) is only the latest in a string of pursuits in which technology has triumphed over humanity. Self-driving cars are already less accident-prone than human drivers, the TV quiz show Jeopardy! is a lost cause, and in chess humans have fallen so woefully behind computers that a recent international tournament was won by a mobile phone. There is a real sense that this month's human vs AI Go match marks a turning point. Go has long been held up as requiring levels of human intuition and pattern recognition that should be beyond the powers of number-crunching computers.

As if Minecraft wasn't already popular enough, it is now being used to help artificial intelligence. Well, at least, a mod of the game by Microsoft is going to. Katja Hofmann and her team of colleagues at Microsoft have created a platform called AIX, which is a mod of Minecraft. The company intends for this system to help artificial intelligence agents have a better understanding of general intelligence. For those of you who are not aware, artificial intelligence is rapidly growing and has improved leaps and bounds of the years.