Siri is about to get a lot smarter thank to Carnegie Mellon researcher Russ Salakhutdinov, who announced today that he is joining Apple to lead the company's artificial intelligence efforts. Excited about joining Apple as a director of AI research in addition to my work at CMU. Apply to work with my teamhttps://t.co/U2hQl2GdhA Although he's not a household name, Russ Salakhutdinov is one of the biggest deep learning figures in academia. His hiring by Apple comes after the company has been criticized for Siri's weak performance compared to rival digital assistants from Google, Amazon and Microsoft. Before working at CMU, Salakhutdinov worked at Toronto University and MIT.

Robotic process automation (RPA) can be the true antidote to manual, rote work, or it can be our worst nightmare if you listen to all the drama or the hype. RPA centers on the use of artificial intelligence (AI) to apply human-like thinking to streamline a typically manually intensive process or activity; and whether we like it or not, it's here to stay. Take, for instance, the process of data extraction from documents such as invoices. Application of advanced optical character recognition (OCR) and intelligent document recognition can automate a significant amount of the job of data entry typically performed by clerks or specialized data entry staff. Interestingly, human effort is still involved with attaining the ability to hand off a process or task to a machine.

Artificial Intelligence has always been one of the frontiers of computer science research, and it's always important to take a look at the roots of this exciting field. With the death of AI pioneer John McCarthy at the age of 84 being announced, programmers all over the world are publicly mourning over social networks. In additon to founding artificial intelligence programs at both MIT and Stanford, his best known contribution to artificial intelligence research was the Lisp programming language. Lisp stood for "List Processsing," and featured an incredibly elegant programming model. The main data structure in Lisp is, you guessed it, a list.

It's no secret that there is a wide gender gap in the tech industry. According to the Center for the Study of the Workplace, women represent around 20 percent of engineering graduates, but just 11 percent of practicing software engineers. Unconscious bias is one of the primary drivers of this disparity, which has led many of Silicon Valley's leading tech companies to introduce unconscious bias training to their employees. However, it's fair to say that its machine learning algorithms need it more. In humans, unconscious biases are ingrained assumptions about particular personal attributes (including race or gender) that can influence decision making without the decision maker being explicitly aware.

A year ago, Danny Lange took over as the head of machine learning at Uber. The ride-sharing company, which launched in 2009, is, essentially, a tech company: It operates entirely through an app. Lange manages a team in San Francisco, and Uber has a smaller team in Seattle. And machine learning has become the underlying foundation for every part of the company. "Machine learning and AI technologies can really solve some very fundamental business problems that are really hard to create hardwired solutions to," said Lange.

Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population.

Today, the biggest technology players are in a mad dash to develop the smartest conversational interface. These personal assistants are helpful, entertaining and already a powerful connector between people and their digital lives. While they function a little differently, they all source every bit of data they can find to engage in unique, valuable conversations with their owners. The astounding pace of technology guarantees that there will always be a new connector, a new privileged broker that draws humans and the digital realm ever closer together. But this shouldn't be a threat to marketers.

Imagine this fairly typical scene of modern life. You are half-heartedly watching a recommended show on Netflix while casually checking sports recaps on your phone when you receive a potential fraud alert from your bank because, while making your routine Amazon purchases, you were tempted to treat yourself to a lavish suggested item. This is hardly the kind of scene that makes for a gripping sci-fi movie. However, in this moment, every aspect of your life is positively bathed in artificial intelligence. Thanks to Hollywood, the phrase "artificial intelligence" conjures visions of a full-blown Skynet takeover, or at least a wisecracking robot sidekick.

The best part of "Radio Imagination: Artists in the Archive of Octavia E. Butler" is the view it provides into Butler's archive itself. Butler, who died in 2006, was a bestselling Pasadena novelist and the only science fiction writer to win a MacArthur fellowship. She was also African American, and her novels reworked the sci-fi genre with far-reaching insights on race, sex and gender. The exhibition at the Armory Center for the Arts in Pasadena features works by eight artists who were granted access to Butler's archives at the Huntington Library in San Marino. Their responses take a variety of forms, including sound and video as well as photography, drawing and installation.

GPU (Graphics Processing unit) is an electronic chip which is mounted on a video card (Graphics card). Occasionally called visual processing unit (VPU) is a specialized processor that offloads 3D graphics rendering from the microprocessor. The modern GPU is not only a powerful graphics engine but also a highly parallel programmable processor featuring peak arithmetic and memory bandwidth that substantially outpaces its CPU counterpart. The input to the GPU is a list of geometric primitives, typically triangles, in a 3-D world coordinate system. Through many steps, those primitives are shaded and mapped onto the screen, where they are assembled to create a final picture.