An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster Analysis we can represent in a two-dimensional space data defined in a higher dimensional one while, at the same time, being able to group this data in similar groups or clusters and find hidden relationships in our data. More concretely, PCA reduces data dimensionality by finding principal components. These are the directions of maximum variation in a dataset. By reducing a dataset original features or variables to a reduced set of new ones based on the principal components, we end up with the minimum number of variables that keep the maximum amount of variation or information about how the data is distributed. If we end up with just two of these new variables, we will be able to represent each sample in our data in a two-dimensional chart (e.g. a scatterplot). As an unsupervised data analysis technique, clustering organises data samples by proximity based on its variables.

The first robotic barista opened in San Francisco on Monday. SAN FRANCISCO -- Something futuristic is brewing in a shopping complex here. The first robotic barista in the U.S., named "Gordon," started serving up to 120 coffee drinks an hour today-- ironically, just several thousand fee away from a Starbucks in the same complex. "A lot of us spend a lot of time in line waiting for coffee," says Henry Hu, CEO of Cafe X Technologies, the local start-up that created the robot. "And we decided to do something about it."

Mayo Clinic's Center for Individualized Medicine and genomic sequencing specialist Tempus announced a collaboration to provide personalized treatment for cancer patients based on analytics and machine learning technologies. As part of two research projects, Mayo will tap Tempus for molecular sequencing and analysis of some 1,000 patients, spanning bladder, breast, melanoma and lung cancers. Physicians and patients, while participating in a research study, will have access to clinically actionable genomic results that guide therapy. Tempus' bioinformatics analytics and machine learning tools will generate data that Mayo Clinic's research teams can use to better understand biomarkers that novel therapeutics can be applied to treat. "The goals of both research projects are to improve patient quality of life by limiting exposure to ineffective agents, decreasing unnecessary toxicity and, most importantly, to improve survival by allowing for more individualized cancer therapy," Mayo Clinic oncology research chair Minetta Liu, MD said in a statement.

Cyber threats are an ever-present danger to global economies and are projected to surpass the trillion dollar mark in damages within the next year. As a result, the cybersecurity industry is investing heavily in machine learning in hopes of providing a more dynamic deterrent. ABI Research forecasts machine learning in cybersecurity will boost big data, intelligence, and analytics spending to $96 billion by 2021. "We are in the midst of an artificial intelligence security revolution," says Dimitrios Pavlakis, Industry Analyst at ABI Research. "This will drive machine learning solutions to soon emerge as the new norm beyond Security Information and Event Management, or SIEM, and ultimately displace a large portion of traditional AV, heuristics, and signature-based systems within the next five years."

The government's vision of AI-enabled growth is not rooted in the apocalyptic science fiction of Terminator movies where robots destroy humanity (Arnold Schwarzenegger appropriated the Spanish phrase "Hasta la vista, baby" in Terminator 2: Judgement Day before sparking some spectacular explosions). Instead, Bains and others point to two Canadian "pioneers" in AI -- Geoff Hinton at the University of Toronto and Montreal computer scientist Yoshua Bengio. They are recognized world leaders in "deep learning" or "machine learning" -- advanced algorithms that allow powerful new super computers to essentially think like humans. The minister is also buoyed by signs of foreign capital coming to Canada such as Microsoft's recent acquisition of the artificial intelligence start up, Maluuba, based in Waterloo, Ont., and Montreal. In a recent conversation with Bill Gates, Bains said the Microsoft co-founder acknowledged that Canada was playing "a leadership role" in AI. "We want to encourage those kinds of investments to continue, to connect with each other on a national level," said Bains. "If companies are betting on AI, academic institutions are betting on AI, why can't government be a meaningful partner in this area as well?"

The World Economic Forum's Global Risk Report 2017 has highlighted risks associated with artificial intelligence (AI). Based on a survey of 750 experts, the report warned that AI, biotech and robotics have among the highest benefits to society, but they also require the most legislation. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.

You've heard that artificial intelligence (AI) will soon be a major force in our society. But how transformative will it be? Will thinking machines take over the majority of human jobs, enabling most people to live lives of leisure? Will these machines cure all human diseases, resolve all human conflicts and serve us cold lemonade on hot days? Conversely, could this technology become a major threat to humanity? By now, many people have formulated some basic assumptions about AI, and many of these are quite outlandish.

We have seen a fast growing interest in current activities around AI startups and research in the last couple of months. Headlines like "2016 was the year AI came of age", "AI was everywhere in 2016", and "The Great A.I. Awakening" were all over the media in the ending weeks of 2016 and we are curious about what 2017 will bring. I found particularly interesting that the current applications, future potential, and possible risks even attracted interest beyond the tech community through TV shows like Westworld, coverage on traditional media and even Obama's farewell address. Sadly, for many of us tech enthusiasts here in Europe, we sometimes feel like there is way less movement on this side of the Atlantic than in the Silicon Valley. However, with major acquisitions like DeepMind, Magic Pony Technology, Movidius, Vision Factory, and Dark Blue Labs, Europe has shown that it is actually leading the way in AI and machine learning.

Web users searching for photos and cops looking for suspects in video already benefit from software that understands the content of images. Chris Gibson says it can also make it easier to find treatments for diseases not targeted by existing drugs. "By combining robotics and machine vision, we can work at large scale on hundreds of diseases simultaneously, using a small number of people," says Gibson, who is CEO and cofounder of the 40-person startup Recursion Pharmaceuticals. Recursion uses software to read out the results of high-throughput screening, which automates drug testing in cells. That isn't a new idea, but Recursion uses algorithms that inspect cells at an unusual level of detail.

A Northwestern University team developed a new computational model that performs at human levels on a standard intelligence test. This work is an important step toward making artificial intelligence systems that see and understand the world as humans do. "The model performs in the 75th percentile for American adults, making it better than average," said Northwestern Engineering's Ken Forbus. "The problems that are hard for people are also hard for the model, providing additional evidence that its operation is capturing some important properties of human cognition." The new computational model is built on CogSketch, an artificial intelligence platform previously developed in Forbus' laboratory.