This article introduces a method for teaching the CAR and CDR extensions. In programming, a container has multiple cells for holding other objects. We use an access language to specify a cell and say what action to take when it is found, such as returning the object in the cell. As an example, in FORTRAN, the primary container is the array, and there is a simple sub-language inside of FORTRAN used for accessing an element within an array. Namely, symbol (index) Here, the parenthesis are literal punctuation, the symbol will represent the base address for an array, and the index will be multiplied by the element size and added to the base address for finding an element.

Salesforce has quietly been amassing talent in the artificial intelligence domain, most recently with the acquisition of MetaMind this week, a company working on deep learning for automated image recognition. Salesforce CEO Marc Benioff has backed the Palo Alto, California-based startup almost from the beginning, participating in an 8 million venture round in December 2014 along with Kholsa Ventures. The deal follows a number of other buys by Salesforce of companies including machine learning startup PredictionIO, data science for enterprises company MinHash, and a "smart" iPhone calendar app called Tempo AI that automatically added context such as contacts and documents to calendar items. Salesforce has also hired away some of LinkedIn's data science talent. Forrester Research principal analyst Mike Gualtieri told InformationWeek in an interview that Salesforce is keeping pace with consumer-focused Internet giants like Google and Facebook with these acquisitions.

The words'private banking' can evoke some stereotypical images, like leather-backed chairs in rooms with wood-panelled walls and bookshelves filled with expensive tomes or expensively attired Swiss bankers parcelling out bits of investment wisdom over snifters of brandy and cigars. One item not typically included? The rise and rise of new technology is upending many assumptions in finance. Technologically savvy companies are already competing fiercely with banks in areas such as retail banking and small company loans. They now see private banking as their next hunting ground. Automated investment programmes, often called robo-advisers, use algorithms to arrange individual investment portfolios based upon stated preferences – for a fraction of the fees charged by private banks.

Rembrandt may have died in 1669 but his artistic legacy lives on thanks in part to a new piece of work created with computer data, instead of the artist's hands. Revealed in the Netherlands, 'The Next Rembrandt' is the result of an 18-month project undertaken by a group of art historians, along with software developers, scientists, engineers and data analysts – not the usual team of artists for portraits work. Get your company on stage at TNW Europe. The team worked tirelessly to anyalyze all known works of Rembrandt, which amounts to over 300 paintings, using high resolution 3D scans to capture every little detail and create an algorithm that would eventually be able to accurately recreate his style. That data was then fed to a 3D printer, which recreated the painting using 13 layers of paint-based UV ink.

Emotional intelligence is a cornerstone of human interactions--an essential part of what it means to be human. But now, artificial intelligences are being developed to better read and process human emotions, which is already changing the way we interact with robots. In the early 1990s, psychologists Salovey and Mayer were the first to recognize emotional intelligence as a set of knowledge and skills distinct from other forms of intelligence, defining it as "the ability to monitor one's own and other's feelings and emotions, to discriminate among them, and to use this information to guide one's thinking and actions." Emotional intelligence is something that seems wonderfully and innately human. But it turns out the tenets of emotional intelligence--which we start picking up in infancy and which seem so closely linked to human nature itself--can be quantified and reduced to logical procedures and algorithms.

A major glitch that occurred last Friday in Japan Airlines Co.'s weight management system was caused by a faulty computer program, which was designed by Deutsche Lufthansa AG, the Japanese carrier said Wednesday. JAL also said that Lufthansa for its part has admitted to programming errors, adding, however, that it was "difficult to prevent the system trouble proactively." Friday's glitch led to the cancellation of 50 domestic flights to and from Tokyo's Haneda airport on the day, affecting about 24,000 passengers, according to JAL. JAL commissioned the program to a computer system firm under the Lufthansa group. JAL started using the program in 2014 and updated it March 23.

Are you building a robot that's supposed to autonomously navigate in a useful way? Cool, that means you'll be needing a LIDAR system, then. For better or worse, it's usually just that straightforward: LIDAR is arguably the best sensor we have right now for reliable navigation, localization, and obstacle avoidance for ground robots. In terms of relatively low-cost sensors, sonar is poor resolution and short range; structured light and time-of-flight sensors are short range and don't work well outdoors; and camera-based vision systems aren't robust enough for reliable navigation. The "relatively low cost" bit is the problem: LIDARs are pricey, and an "affordable" 2D unit, with a range of 10 meters or less, can cost you over US 1,000.

Imagine you could use a standard 3D printer to create your next robotic assistant. Just snap in a motor and battery, and it's ready to go. That's precisely the scenario made possible by a new 3D printing technique developed at MIT. Liquids have long been a challenge for 3D printing, and they're necessary for hydraulic devices like moving robots. On Wednesday, researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) announced what they call the first-ever technique for 3D printing robots that can print solid and liquid materials at the same time. That means it's possible to print dynamic robots in a single step, using a commercially available 3D printer.

No one's quite sure on just when people will be able to summon a self-driving car and go wherever they need to go. Too many variables--how the technology advances, how regulations are developed, what consumer acceptance looks like--remain for anyone to say, but that's not keeping Volvo from offering a date: 2020. The Swedes synonymous with safety want to eliminate all traffic deaths and serious injuries in their cars by the end of the decade. Because airbags, automatic braking and other active tech can only do so much, Volvo plans to use automated driving to do it. Next year, it plans to see how that tech works in the real world when it puts 100 customers in robocars for an extended beta test in Gothenburg, Sweden.

Andrej Karpathy is holding a classroom full of Stanford grad students and undergrads rapt with his description of the pros and cons of different kinds of algorithms used in training a neural network to recognize objects in an image. Suddenly, from the middle of the room, the distinctive artificial voice of Apple's Siri pipes up: "I'm not sure what you said." Siri, probably activated accidentally, draws big laughs. In this room, where students are deep into the intricacies of learning how to make software that better understands humans and our data, the error message is a reminder of the technology's exploding real-world applications. As a consequence, the students in Karpathy's class are likely to graduate into a favorable job market.