Neural Network Accelerators (NNA) may have become a must-have block in high-end mobile processors. Huawei Kirin 970, Samsung Exynos 9810, and Qualcomm Snapdragon 845 (via its Hexagon DSP) processors all come with NNA or NPU (Neural Processing Unit) to speed up tasks and comsume less power for tasks related to artificial intelligence / machine learning. Mediatek has also jumped on the bandwagon with Helio P60 chipset featuring four Cortex A73 cores, four Cortex A53 cores, an Arm Mali-G72MP3 GPU and a multi-core mobile APU (AI Processing Unit) leveraging the company's NeuroPilot AI technology. Helio P60 is said to deliver 70% higher performance, 25% power savings in heavy duty games, and overall power savings of up to 12% compared to the previous generation MediaTek Helio P23 series chipset. The APU offers double the power efficiency of the GPU for AI processing.

In this paper, we study several classes of satisfiability preserving assignments to the constraint satisfaction problem (CSP). In particular, we consider fixable, autark and satisfying assignments. Since it is in general NP-hard to find a nontrivial (i.e., nonempty) satisfiability preserving assignment, we introduce linear satisfiability preserving assignments, which are defined by polyhedral cones in an associated vector space. The vector space is obtained by the identification, introduced by Kullmann, of assignments with real vectors. We consider arbitrary polyhedral cones, where only restricted classes of cones for autark assignments are considered in the literature. We reveal that cones in certain classes are maximal as a convex subset of the set of the associated vectors, which can be regarded as extensions of Kullmann's results for autark assignments of CNFs. As algorithmic results, we present a pseudo-polynomial time algorithm that computes a linear fixable assignment for a given integer linear system, which implies the well known pseudo-polynomial solvability for integer linear systems such as two-variable-per-inequality (TVPI), Horn and q-Horn systems.

Like Hollywood, the games industry is facing a moment of self-reflection. For too long it has told the same stories, centring on the same white, male heroes. Game creators are finally examining the lack of diversity in their stories, but so far, representation of black people has been timid and predictable. With the number of women in the UK industry at just 14% and BAME representation at 4%, the narrative gatekeepers in games are primarily white men. If they are to find a broader range of stories, they need to rethink their representations of black people.

Poachers are normally active at night. While tools such as infrared cameras are used to monitor living organisms, since poachers and animals they are hunting both give off heat, it is time-consuming and challenging to monitor infrared video streams for poachers all night. Thus a team of computer scientists led by USC Viterbi School of Engineering PhD student Elizabeth Bondi in Professor Milind Tambe's lab, labeled 180,000 humans and animals in infrared videos using a labeling tool they developed to expedite the process. The researchers used these labeled images and leveraged an existing deep learning algorithm known as Faster RCNN that they modified, to teach a computer to automatically distinguish infrared images of humans from those infrared images of animals. The challenge then was to deploy this algorithm to spot poachers in near real time using the laptop computers at base stations in the field, where footage is streamed from the drones that are being used to patrol national parks in Zimbabwe and Malawi.

Johannesburg - Like many global startup companies OrderIn began with limited resources, CEO and founder of the company Dinesh Patel told Fin24. "The company was started in garage. We went to a hardware store and used doors as desks. We looked at how successful startup companies started and were inspired. This taught us lessons on how we think and how to operate our business," Patel said.

Despite efforts to tackle corruption around the world, progress is still frustratingly slow, according to the latest report from Transparency International. Its annual Corruption Perception index reveals some alarming trends. It shows public service corruption is still a huge problem for two-thirds of the world's economies. The report uses a scale of zero to 100 to rank countries: zero is highly corrupt and 100 is very clean. New Zealand comes out on top but with a score of 89.

Alien invasion is a constant theme of Hollywood science fiction, from War of the Worlds to Independence Day. But Harvard psychologist Steven Pinker, author of the new book Enlightenment Now, argues that highly developed civilizations tend toward peace and tolerance, and that advanced aliens are much more likely to be friendly. "I think it's not inconceivable that wars between countries will go the way of slave auctions and dueling, just be seen as too ridiculous for any reasonable country to engage in," Pinker says in Episode 296 of the Geek's Guide to the Galaxy podcast. But wouldn't alien brains be so different from ours that it would make mutual understanding impossible? On the contrary, since aliens would have been subject to the same evolutionary pressures as us, they would probably possess an appreciation of science--and maybe even beauty--similar to ours. "It's conceivable that other intelligences have a sense of beauty that is not wildly different from ours," Pinker says, "because they too might be expected to be attuned to counter-entropic forces and patterns in nature."

This article was originally published on ETFTrends.com. First Trust Advisors has come out with its own artificial intelligence and robotics-related exchange traded fund to help investors gain exposure to the growth of innovative cutting-edge technology. First Trust recently launched the First Trust Nasdaq Artificial Intelligence and Robotics ETF (NasdaqGM: ROBT), which has a 0.65% expense ratio and is also the cheapest A.I. and Robotics ETF on the market. The lower expense ratio may be a way for the fund provider to better compete against other options in the space as the company comes late into the robotics and A.I. theme. First Trust Nasdaq Artificial Intelligence and Robotics ETF will try to reflect the performance of the Nasdaq CTA Artificial Intelligence and Robotics Index, which is comprised of companies engaged in the artificial intelligence and robotics segments of the technology, industrial and other economic sectors, according to a prospectus sheet.

We've been hearing for years about the digital transformation of multiple business sectors. And the technology sector is hardly alone in this regard: For the past decade, legacy industries have been making the transition, too,and the result has been massive opportunities for entrepreneurs.

This post was originally published on 26-November-2014 on Linkedin (click here). The evolution of financial payment systems has been a long but interesting journey characterised by sudden changes in underlying technology. Financial payments and banking started in a very inefficient and traditional way which was slow. Though it was still acceptable to the customers due to the stage in the information age. Initially, almost all the fun and joy in terms one double zero percent in shape of activities in the financial services (Except Non-Banking Services) space was attributable to banks with all the revenue being collected by the same entities.