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​Open source encryption? Now Netherlands votes to help fund security projects – ZDNet

The original article was written by  Tina Amirtha 

This article is reporting the actions made by the Netherlands government to strengthen open source encryption projects. Going against the European union that called to revisit the debate over back-door policies prompted by the Paris shootout, The dutch government voted to help and fund some open source encryption projects.

The dutch government, the writer reports, agreed to spend 500,000 euros to support very famous open-source encryption projects like OpenSSL, LibreSSL, and PolarSSL.

LibreSSL, OpenSSL, and PolarSSL are libraries that use the SSL protocol. They are also libraries that create crypto-tools. These technologies are used to protect some websites like Facebook.

What US and Europe wants after the Paris attack is to open a back-door for the government to access private data. By funding these open-source projects, Netherlands showed that they want to make the encryption systems more robust regardless of what the U.S. and the European union thinks. The dutch government believes that better data encryption is essential for the protection of human rights.

Facing threat of extinction: How pro services can compete in the age of AI – GigaOM

The original article was written by Alastair Mitchell 

Alastair, the president of Huddle, writes in this article about the danger of extinction of the service industry in the United States. He argues that, although the service industry in the United States today is pretty solid, there are economical signs that it is facing a major threat. According to the author this threat comes from two fronts: the rise of A.I. and the evolution of new markets overseas transitioning into service-driven economies.

A.I. and automation, according to the article, can represent a major danger to the service industry. There are algorithms today that help people solve their financial problems.This pages, like QuickBox and Xero, could drive accountants out of business. There are also programs that could analyze the legitimacy of a legal claim. The author also points out that you can easily find service industries that are being jeopardized today. For example, x.ai’s created a personal assistant that could replace a fully human aid putting in danger the administration and executive assistance industries.

The author believes that competition will not stay limited to auditors. He added, “as technology advances and the world shifts, every professional services business will be put under the microscope by its clients and forced to distinguish itself.” The problem is that differentiation can be really hard to showcase in the service industry.

The answers to keep the service industry alive are: accountability, creativity, experience. He said that one of the most important aspects a business has to offer is their knowledge of their clients. This knowledge is very hard to replicate by competition. The creativity of a firm can also highlight is future success. Creativity, the writer adds, can’t be “outsourced, automated or devalued.” The last thing is accountability. Companies have to be able to break the wall between them and their clients. he said “by opening channels of communication through consistent collaboration, firms can break down the barrier between themselves and their client, becoming less of a commoditized service provider and more of a trusted partner.”

ScholarshipOwl uses big data, machine learning to fix the convoluted scholarship application process – gigaOM

The original article was written

In this article the writer reports how the ScholarshipOwl webpage is working to fix its scholarship program using more data mining. The purpose is to make students more aware of the scholarships that they might be eligible to.

Trying to deviate from their old time-consuming inefficient process, ScholarshipOwl matches students with scholarship depending on the information entered by the students. As stated by the writer, now it takes less data to successfully match  a student with an applicable scholarship.

They are also trying to implement an automatically recurring process for application that can or need to be renewed. Sandoryff, the creator of ScholarshipOwl, started doing this project because he saw a problem that wasn’t being issued. After he struggled trying to find scholarship for himself, he decided to start the project to give other students the opportunity to make college more affordable.

Sandoryff said, “I’ve come to realize that the inequality comes from a lack of connection. Students who need scholarships the most are the one’s who have the least amount of time to complete the process.” ScholarshipOwl was created to automate the process.

Health Care’s Future is Data Driven – GigaOm

The original article was written by Darren Schulte 

In this interesting article written by Darren, the chief executive of Apixio, the author writes about how data science could potentially improve today’s health care system. Darren also points out that the system is outdated and focusing more in data science could be the answer to fix some of the problems in that face some doctors and patients in today’s world.

According to the author, the United States produces more than 1.2 billion clinical documents annually. Because there isn’t any system to sort through all these data and documents, doctors sometimes cannot access information for their patients. Also, every doctor saves all the charts and information in very ambiguous ways, causing the interpretation of this data a little harder than it should be. The documents of a certain person are normally dispersed through a lot of different doctors.

The writer also talks about how today’s advancements in the data science department could represent an immense step to unlock the true potential of the U.S. health care system. Proactive health care, according to the author, should have a centralized data science system that is able to mine data from a lot of different sources and, using advanced cognitive computing strategies, interpret that data.

What this would mean for the average patient is that continuously filling out forms every time he goes to the doctor isn’t necessary anymore. With this system, a doctor should be able to access at least 80% of a patient record, which will create less mistakes, quicker recoveries, and lower infection rates.

How Artificial Intelligence Explains Analytics – Computer World

The original article was written by  

In this interesting post, Kris Hammond, Narrative Science’s Chief Scientist, emphasizes how artificial intelligence’s lack of transparency doesn’t inspire trust by the people using these machines. Also, the writer talks about a possible workaround to make future artificial intelligent machines more accountable for their results.

Kris Hammond starts the post making the future connection between  human and artificial intelligence. He started asking himself if humans would be only following order from these intelligent machines and forced to have blind faith to their outputs. It is noticeable that although some companies are trying to fill the gap between the output of these machines and the process involved to get to that output using visualization techniques, the writer believes that pictures of support tress aren’t reassuring either. The writer believes that to make artificial intelligence socially acceptable is storytelling.

Storytelling can be a very challenging project for artificial intelligence, but a necessary part to create machines that can inspire trust. Instead of just giving you the result, the writer believes that intelligent system should also answer these questions:

  • Where did you look?

  • What were you looking for?

  • Did you find anything else?

  • Are there information gaps that I could fill to confirm this answer

The author’s point is that all the data and analytics that these computer process have meaning. All these data came from somewhere, and to make the output reassuring, the person that the data is sent to should be able to know where this data came from. A computer saying that someone has disease doesn’t make the person feel as confident as a doctor explaining exactly why and how he concluded that the said person has cancer.

Hammond finished the article with this question: “No one would ever work with a person that just spits out answers and then walks away. Why would we expect people to work with intelligent machines that do any less?” Indeed, Why would we?

New Milestones in Artificial Intelligence Research – fb news room

The original article was written by  Mike Schroepfer 

Mike Schroepfer, the CTO of Facebook, reported in his blog the latest advancements of Facebook in the A.I. department. The Facebook Artificial Intelligence Research Team (FAIR) is currently working in the advancement of the A.I. learning patterns, specifically,  the ability to train computers to identify objects, understand language, and plan.

Concerning to object detection, FAIR has found ways to significantly increase the efficiency of object detection in pictures. In a paper that will be published in December at the NIPS, FAIR presented the a system that supposedly diminishes the processing time of the images by 30% using 10 times less learning data than previous benchmarks with older methods.

In the natural visual understanding department, FAIR, earlier this year, showed the progress on their system Memory Network. The system Memory Network, previously, could only read and answer questions about a text, but now, it can also answer questions about a picture. In a video uploaded to the article, there’s an example of Memory Network in action. In the video, there’s a baby in the bathroom brushing his teeth. The user asked the system for the presence of the baby, the location of the baby, and what the baby was doing. Memory Network answered all the questions right.

FAIR has also been working in developing artificial predictive learning. The author defines predictive learning as “the ability to understand what will happen in the future by learning from observation.” To achieve this, FAIR has created a system that can predict if a bunch of piled boxes will fall or not. It is to be noted that the machine can only see the image and learn the patterns. After a few months of development, the system was reported to predict the outcome in 90% of the occasions, being much better than the average human.

If all the above doesn’t sound impressive enough, FAIR is also working in one of the most ambitious and difficult tasks of A.I., planning. To test some of their advancements in the planning area, FAIR created a machine that plays the game of GO. The machine learns the strategy on-the-fly, meaning that it doesn’t have a built in mechanism to play the game. After a couple of months of playing, the machine is on-par to a very good human player.

These advances are just the beginning of a very ambitious long-term plan of revolutionizing the technology industry by Facebook.

NBA season opener will be streamed live in virtual reality for the first time – Mashable

The original article was written by 

Virtual Reality is slowly moving from experimental to commercial. As reported by the technology editor Adario Strange, the NBA decided to join in the VR fever and started to stream NBA games completely in Virtual Reality. In opening night, people that had any head mounted displays like the Oculus Rift or the HTC VIVE could virtually attend the first game of the season.

The lucky owners of a head mounted display will not only be able to watch the game, they will be seated in the front seat, the best seat in the house. Also, the VR viewers will enjoy the whole show without the interruption of any TV commercial.

Also, the writer reported that the Sacramento Kings announced an investment in VR company VOKE. VOKE is the same company that streamed opening night game.

This could be one of many VR-streamed entertainment to come, showing another facet where VR could make a huge impact.

This robot uses artificial brain cells to navigate like a human -Mashable

The original article was written by 

Artificial Intelligence, a field mostly in the dark 10 years ago, is being aggressively researched. Will Knight, the senior editor for AI at MIT Technology Review, reports one of the latest advances of the A.I. researches. In this particular case, Knight reports the success of the simulation of the brain cells that humans and animals utilize for navigation.

The experiment was made by Haizhou Li, a professor at the Agency for Science, Technology and Research, and was tested in a small robot. The robot, as humans and animals do, was able to navigate and remember a space. This made the robot aware of its surroundings and able to identify where it was. The robot was able to roam around in a 35 square meters office space. Although the simulation worked, and the results were positive, the simulated cells weren’t as good as biological cells.

As the author explains, this simulation represents a colossal step in the A.I. and neuroscience field. The work done in this experiment shows that is possible to simulate complex brain activity.Li also believe that the work could help neuroscientists understand the functioning of the brain’s navigation system better.

A.I. research keeps advancing and growing. The simulation of place cells is just another example of A.I. research growing advancements.

Gazing into the CodeMirror — bitplayer.org

The original article was written by 

Brian Hayes, a computer science and mathematics blogger, in this article, presents people a tool called CodeMirror. CodeMirror is a free open-source versatile text-editor implemented in javascript for the browser. The sources can be downladed here.

Brian Hayes describes CodeMirror as a computer science gem. CodeMirror has all the programming sintax help a person can get from a modern IDE. It has automatic indentation, highlighting, auto-completition and more. The capabilities of CodeMirror lets developers create web-based IDEs, with integrated text editors.

CodeMirror is used in a lot of projects around the web. For example, Marijn Haverbeke, the main developer of CodeMirror, uses it for his on-line book/tutorial Eloquent JavaScript where it is possible to write javascript and run the program immediately inside the web-interface. Another example of CodeMirror in action is the online-tutorial written by the author of the book called JavaScript in a Jiffy.

CodeMirror is becoming a standard nowadays. It is built into the developer tools of both the Chrome and the Firefox web browsers. It’s in both Brackets and Light Table, two open-source code editors for the desktop. It is also the editor module for the IPython notebook interface.

CodeMirror is a must-know for any javascript programmer. It is very easy to use and very useful for any web (or desktop) application that needs a functional text or code editor.

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