Self-driving electric cars are coming from Google, Uber, even Apple. We'll work in them, lounge in them, share them, and never have to park them. And a result, our streets may never be the same. But what they will be like is still unclear. So Co.Design asked the New York City design consultancy Pensa to imagine the streets of the future.

In a talk in Pittsburgh in 1997, the late evolutionary biologist Stephen J. Gould allegedly characterized humans as "the primates who tell stories." Psychologist Robyn Dawes went much further, suggesting humans are "the primates whose cognitive capacity shuts down in the absence of a story." To be sure, we love a good story. Research suggests that anecdotes can be as persuasive as hard data, and that jurors are influenced by the quality of the prosecution's and defense's "stories" when deciding whether to find a defendant guilty. Even in science, we seek explanations, not mere descriptions; in history, we want a good narrative, not a mere sequence of events. Or do they offer something more?

Artificial intelligence can now cook you a meal, chat to you on your phone, and beat you in a game of rock, paper, scissors. But Andy Rubin, who co-founded Android, believes that AI in the future will go one step further - being so powerful that it underpins every connected device. Mr Rubin said a combination of quantum computing and AI advancements could yield a conscious intelligence that would control every internet-enabled gadget. According to recent studies, certain jobs are already at risk of being replaced by automated workers. Accountants are 99 per cent likely to lose their jobs to machines.

The course covers Data Science and Machine Learning in general. I think many of us will be interested in the "Distributed Machine Learning with Apache Spark" and "Advanced Distributed Machine Learning with Apache Spark" courses specifically if you already know your way around Spark.

There is such a thing as the "IKEA effect," which, according to one description, suggests that "when individuals construct products themselves, they tend to overvalue their (often mediocre) creations." The "IKEA effect" highlights the importance of "self-agency": when you make something yourself, the work it takes to make that thing gives you a richer sense of initiative and ownership. The result is you get a more positive perception of your creation (even if it's made of particle board). Now two researchers from Pennsylvania State University's Media Effects Research Laboratory want to find out if the same thing applies to robots. The researchers, Yuan Sun and S. Shyam Sundar, say previous studies in human-computer interaction have demonstrated that the "self-agency" effect is present in things as basic as customizing the interface of a software application, resulting in "more positive attitudes toward the technology, a heightened sense of control and identity, greater user engagement, and product attachment."

In the following section we introduce the back-propagation learning algorithm and use mini-batching to express the most compute intensive equations in matrix form. Once expressed in matrix form, hardware optimized numerical linear algebra routines are used to achieve an efficient mapping of the algorithm on to the Intel Xeon Phi co-processor. Section 3 describes the preparation of the data used to train the DNN. Section 4 describes the implementation of the deep neural networks. Section 5 then presents results measuring the performance of a DNN. Finally in Section 6, we demonstrate the application of DNNs to backtesting using a walk forward methodology, and provide performance results for a simple buy-hold-sell strategy.

In a research note issued today, Argus Research shed light on how Apple Inc. (NASDAQ: AAPL) is transforming from a hardware enterprise to a software- and services-focused business. The sell-side firm reiterated its Buy rating on AAPL stock, with a 135 price objective. AAPL stock rose 0.74% to trade 98.18, just before 10 AM EDT. Apple hosted its Worldwide Developers Conference (WWDC) on June 13, and used the forum to announce new capabilities for Siri, features for Apple Watch, and integration of third-party apps into iOS. No new hardware was introduced, and the tech giant did not address rumors of a second-source vendor--Intel--as a baseband supplier for the iPhone.

BPM 31510 is just another cancer drug in human development trials, except for one thing. Scientists didn't toil away in labs to come up with it; artificial intelligence did. The cancer drug development process is costly and time-consuming. On average, it takes 24 to 48 months and upwards of 100 million to find a suitable candidate. Add that to the fact that 95% of all potential drugs fail in clinical trials, and the inefficiencies of the whole drug-discovery machine really become apparent.

ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. Furthermore, ConnectX-5 is the first PCI Express 3.0 and 4.0 compatible adapter, enabling greater flexibility and future-proofing for the data center. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. The new intelligent ConnectX-5 100G adapter enables the most advanced real-time in-network computing engines to unleash business opportunities and new technological developments. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies.

Ronny Kohavi is a Microsoft Distinguished Engineer and the General Manager for Microsoft's Analysis and Experimentation team at Microsoft's Applications and Services Group. He was previously Partner Architect at Bing, part of the Online Services Division at Microsoft. He joined Microsoft in 2005 and founded the Experimentation Platform team in 2006. His papers have over 27,000 citations and three of his papers are in the top 1,000 most-cited papers in Computer Science. In short, Ronny is the big kahuna of experimentation and I am very happy he took time to have this discussion with me.