In classical sculpture there is a great emphasis on movement. In the world of robotics, the emphasis is on actual motion. For the last several years Riga, Latvia-based new media sculptor Krists Pudzens has been fusing the two disciplines with his "electromechanical art." In his first major exhibition, SHIFT, Pudzens showcases a number of kinetic and interactive works created between 2007 and 2014. The show features seven objects that explore various types of perception like audio, visual and tactile sensations, but also function as "closed, introverted" systems with distinct appearances and movement.

Here's What We Can Expect from Deep Learning in 2016 and Beyond

The author recently completed a wonderful course in Machine Learning taught by Prof Andrew Ng of Stanford on Coursera. Machine Learning, more popularly known as Artificial Intelligence or AI is not a new topic. AI has been in the making for over 60 years. But it has started delivering creditable results in the last few years. The success of the driverless car has captured the popular imagination but progress in the areas of image recognition, natural language processing and anomaly detection is no less impressive and has applications across sectors.

Every time a Pokemon Go fan drains a smartphone battery chasing virtual monsters, it's a reminder that chip technology has a long way to go. The company poised to push the boundaries of mobile computing is ARM Holdings Plc, which has built a business designing chips that squeeze the most out of limited battery capacity on mobile devices, dominating 85 percent of the market. Masayoshi Son built SoftBank Group Corp. by making big, early bets on personal computers, broadband and smartphones. Now, he's spending 32 billion to buy ARM, gambling that the company's chips will find their way into self-driving cars, virtual-reality devices and machines with artificial intelligence. Pokemon Go, the hit game that relies on power-hungry GPS and camera functions to work, is showing people the limits and capabilities of their smartphones.

When a new capability is conceived or developed, the intelligence community does not assign anyone responsibility for anticipating how a new AI algorithm may go awry. A computer algorithm issues orders to buy a stock and floods the market with hundreds or thousands of apparently separate orders to buy the same stock. Other algorithms take note of this sudden demand and start raising their buy and sell offers, confident that the market is demanding a higher price. The first algorithm registers this response and sells its shares of stock for the newly higher price, making a tidy profit.

Some of society's brightest minds have warned that artificial intelligence (AI) may lead to dangerous unintended consequences, yet leaders of the U.S. intelligence community--with its vast budgets and profound capabilities--have yet to decide who within these organizations is responsible for the ethics of their AI creations. When a new capability is conceived or developed, the intelligence community does not assign anyone responsibility for anticipating how a new AI algorithm may go awry. If scenario-based exercises were conducted, the intelligence community provides no guidelines for deciding when a risk is too great and a system should not be built and assigns no authority to make such decisions. Intelligence agencies use advanced algorithms to interpret the meaning of intercepted communications, identify persons of interest and anticipate major events within troves of data too large for humans to analyze. If artificial intelligence is the ability of computers to create intelligence that humans alone could not have achieved, then the U.S. intelligence community invests in machines with such capabilities.

The 2016 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA) is part of a joint effort between other major conferences and academic events targeting work towards the computational recreation of human-level intelligence.– "It is actually the first time we had approximately 250 participants all together, certainly this shows a steady progress over many years," Samsonovich said on Monday. John Laird, a professor of engineering at the University of Michigan, told Sputnik the conference is unique in that it involves collaboration between numerous experts and universities. "I think that's one of the unique things that's happened this year is these three or four conferences coming together and making it possible for people that are interested in different sort of sides of it to come together," Laird said. "I think that's been a unique experience and from what I've heard people talking about it, it's been very successful."

Cortana is set to fly the friendly skies thanks to a new partnership between Microsoft and Boeing, bring the Microsoft intelligent assistant closer still to the domain of its namesake. Microsoft and Boeing announced a partnership today to move Boeing's suite of digital aviation offerings over to Azure, and the end result is that said servers are going to begin to get smarter, according to Microsoft. "Centralizing Boeing's digital aviation applications on Azure will allow Boeing to analyze a large set of data provided from multiple sources," a Microsoft spokesperson told TechCrunch via email, explaining how the partnership is set to make Boeing's offerings better for airlines that use them. "Boeing could use the Cortana Intelligence Suite to help airline operators more effectively manage inventory, more efficiently schedule pilots and cabin crews, or proactively schedule maintenance that might otherwise delay a flight based on the data intelligence they gather from the cloud." That means that first, this is a very early partnership – the focus here is on the potential to expedite certain tasks in the future.

Chatbots are rising in popularity. As artificial intelligence has increased in popularity, so have these bots. Bots are responsible for responding to queries, troubleshooting important customer service problems, assisting users to find products and more. Chatbots are computer programs that interact with the users in natural languages. The chatbot technology began in 1960s.

CES--Volvo Cars will use the NVIDIA DRIVE PX 2 deep learning- based computing engine to power a fleet of 100 Volvo XC90 SUVs starting to hit the road next year in the Swedish carmaker's Drive Me autonomous-car pilot program, NVIDIA announced today. Autonomous technology is an important contributor to Volvo's Vision 2020 -- its guiding principles for creating safer vehicles. This work has resulted in world-leading advancements in autonomous and semi-autonomous driving, and a new safety benchmark for the automotive industry. "Our vision is that no one should be killed or seriously injured in a new Volvo by the year 2020," said Marcus Rothoff, director of the Autonomous Driving Program at Volvo Cars. "NVIDIA's high-performance and responsive automotive platform is an important step towards our vision and perfect for our autonomous drive program and the Drive Me project."