Predictive analytics allows Netflix to surface and finesse recommendations. This kind of clustering algorithm is continually improving suggestions, allowing users to make the most of their subscription. Under Armour is one of the many companies to have worked with IBM's Watson. The sports apparel company combines user data from its Record app with third-party data and research on fitness, nutrition etc. The result is the ability for the brand to offer up relevant (personalized) training and lifecycle advice based on aggregated wisdom. A 32-year-old woman who is training for a 5km race could use the app to create a personalized training and meal plan based on her size, goals, lifestyle.

Neither humans nor AI have proved overwhelmingly successful at maintaining cybersecurity on their own, so why not see what happens when you combine the two? That's exactly the premise of a new project from MIT, and it's achieved some pretty impressive results. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx have developed a new platform called AI2 that can detect 85 percent of attacks. It also reduces the number of "false positives" -- nonthreats mistakenly identified as threats -- by a factor of five, the researchers said. The system was tested on 3.6 billion pieces of data generated by millions of users over a period of three months.

So when it came to tapping historical and streaming data stores to improve operational efficiency, as well as predict and circumvent potential issues in its production facilities, the company went for the most cutting-edge machine learning technology on offer: IBM's Watson. Speaking at the recent Chief Analytics Officer Forum in Sydney, Woodside's principal data scientist, Elsa Jordan, shared with attendees the company's journey to build a data science capability from scratch in one year that could be utilised by employees right across the organisation. Woodside established its data science practice in January 2015 and as part of its approach, is running the largest commercial instance of the Watson advisor engine. "Our premise was think big, prototype small, scale fast," Jordan said. "Key to that was using machine learning algorithms. What appealed was that we could learn from history, predict from streaming data and keep on learning as new information becomes available."

Our life is frittered away by detail. This short book teaches you how you can build machine learning applications (with Leaf). Leaf is a Machine Intelligence Framework engineered by hackers, not scientists. It has a very simple API consisting of Layers and Solvers, with which you can build classical machine as well as deep learning and other fancy machine intelligence applications. Although Leaf is just a few months old, thanks to Rust and Collenchyma it is already one of the fastest machine intelligence frameworks available.

Last week, the New York Times reported the first successful "limb reanimation" in a person with quadriplegia. Ian Burkhart, 24, had broken his neck as a teen in a diving accident. His spine was damaged at the fifth cervical vertebra, leaving him paralyzed from the shoulders down. Using nerve bypass technology that transmits his thoughts directly to his hand muscles, he has regained control over his right hand and fingers. This is the first time a brain-computer interface has been used to help an individual move his own hands.

About indico indico provides state-of-the-art machine learning algorithms for text and image analysis in the form of a simple to use web service. This, for the first time, enables companies to automatically extract meaningful insight from unstructured data regardless of their size or capability. Sentiment Analysis, Social Media Monitoring, Content Filtering, Content Classification, Recommendation, and Personalization are just some of the areas in which indico's customers are deploying its technology to improve business outcomes. Furthermore, indico's rapid customization capabilities have also enabled companies such as Mavrck, CO Everywhere, and interlinkONE to quickly develop compelling new solutions that weren't practical before.

Are you interested in massive amounts of data for research? Yahoo has just released the largest-ever machine learning dataset to the research community.

REMEMBER the basic income grant South African labour unions, churches and NGOs campaigned for back in the 1990s and early "noughties", but on which Trevor Manuel's Treasury frowned on as a fiscal nonstarter? Silicon Valley A-lister Sam Altman thinks the US will have to adopt something like it within the next generation or two -- and he's not alone. Altman is founder and president of Y Combinator, the seed-stage tech investor that helped launch Airbnb and Dropbox. As co-chairman of OpenAI, he is working with Elon Musk to see that artificial intelligence, as it approaches and perhaps surpasses the human variety, benefits mankind. He believes that while technology will generate vast new wealth, it will in the process destroy much traditional employment without replacing it.

The science and application of HCI continues to evolve with more practitioners, scientists, researchers and developers seek to further what it means to human society and how it can be leveraged to address social and economic issues as well as to determine how people can think and work smarter. It's become such a relevant area of study that university programs and degrees are now available for HCI as a way of furthering the understanding and application for this segment of computer science. At the same time, new jobs are emerging to use these degrees related to furthering areas like those being studied by IBM or as new companies develop applications for artificial intelligence and connected devices that bring us further into the world of computers.

AI, artificial intelligence, machines doing tasks that used to require human intelligence, is deeply integrated into our infrastructure,