This ANN introduction only covers the basic fundamentals. In the next chapter, we will learn about the computing strategies that enable ANN's predictive capabilities.

Just 32 percent of organisations in Singapore currently tap machine learning, although 52 percent believe such tools' ability to make complex decisions is imperative to the success of their business. A further 87 percent said greater automation brought about by machine learning would speed up decision-making process, while 80 percent said it would improve accuracy of such decisions, revealed a survey by ServiceNow. Conducted by Oxford Economics, the study polled 500 CIOs across 11 countries, including 91 from three Asia-Pacific markets: Singapore, Australia, and New Zealand. Ten percent of the global sample were from Singapore. ServiceNow touted machine learning as software that analysed and improved its own performance without direct human intervention, enabling it to make increasingly complex decisions as it learned.

This Is An extract in English of Pierre Pinna's Interview on CNN Turkey. IPFC Online Founder and CEO Pierre Pinna, one of the world-renowned names in artificial intelligence and digital transformation issues that brings together entrepreneurial companies in Turkey, national and international investors, participated at the T-Bootcamp event in Izmir, explaining the future. One of the most important meeting points of entrepreneurs and investors, the T-Bootcamp event, which emphasizes the innovation efforts in Turkey, was organized at the Selçuk Yaşar Campus in Izmir with the cooperation of Yaşar University Minerva Incubation Center and technology platform creation agency WBCONS-HD. Among the leading names in the world of artificial intelligence and digital convergence, IPFC Online Founder and CEO Pierre Pinna, Fintech and Blockchain applications that are rapidly expanding include Inclusivity Network Founder Antonio Javier Ruiz, Peak State Consulting Director Anuj Khanna, Technology and Human College Founder Zeynep Dereli and entrepreneurs from Izmir and Istanbul participated as speakers. Entrepreneurs brought in prominent projects.

BEIJING (Reuters) - Chinese artificial intelligence (AI) startup SenseTime Group said on Wednesday it has sealed an investment from chipmaker Qualcomm Inc as part of a funding round that will close later this year. SenseTime and Qualcomm had announced a strategic tie last month to collaborate on AI, which will see SenseTime's proprietary algorithms deployed in smart devices. Qualcomm, in a statement, confirmed the investment in SenseTime. The two firms did not disclose the size of the investment. Reuters reported earlier in November that SenseTime plans to raise about $500 million in a new funding round, in what would be the biggest ever such fundraising by an AI startup.

Kidney exchange, where candidates with organ failure trade incompatible but willing donors, is a life-saving alternative to the deceased donor waitlist, which has inadequate supply to meet demand. While fielded kidney exchanges see huge benefit from altruistic kidney donors (who give an organ without a paired needy candidate), a significantly higher medical risk to the donor deters similar altruism with livers. In this paper, we begin by exploring the idea of large-scale liver exchange, and show on demographically accurate data that vetted kidney exchange algorithms can be adapted to clear such an exchange at the nationwide level. We then propose cross-organ donation where kidneys and livers can be bartered for each other. We show theoretically that this multi-organ exchange provides linearly more transplants than running separate kidney and liver exchanges. This linear gain is a product of altruistic kidney donors creating chains that thread through the liver pool; it exists even when only a small but constant portion of the donors on the kidney side of the pool are willing to donate a liver lobe. We support this result experimentally on demographically accurate multi-organ exchanges. We conclude with thoughts regarding the fielding of a nationwide liver or joint liver-kidney exchange from a legal and computational point of view.

We introduce a criterion, resilience, which allows properties of a dataset (such as its mean or best low rank approximation) to be robustly computed, even in the presence of a large fraction of arbitrary additional data. Resilience is a weaker condition than most other properties considered so far in the literature, and yet enables robust estimation in a broader variety of settings. We provide new information-theoretic results on robust distribution learning, robust estimation of stochastic block models, and robust mean estimation under bounded $k$th moments. We also provide new algorithmic results on robust distribution learning, as well as robust mean estimation in $\ell_p$-norms. Among our proof techniques is a method for pruning a high-dimensional distribution with bounded $1$st moments to a stable "core" with bounded $2$nd moments, which may be of independent interest.

Burger flippers, pizza tossers, and latte frothers, watch your backs: Gordon, Sally, and Kona are coming for you. Over the last few years, a growing army of efficient cost-cutting robots has arrived to automate a range of food prep tasks, from whipping up salads for the Palo Alto lunchtime rush to spicing late-night curry for hungry MIT coeds. They join the ranks of robo-cooks already popular in Asia; in China, there's even a bot-staffed restaurant called Wall.E. Whether serving as sous chef in the kitchen or streamlining your takeout order, there is perhaps no better target for Silicon Valley's appetite for disruption than the food industry. Coffee Maker: Avoid barista side-eye by getting your coffee from a six-axis robotic arm named Gordon.

Next to the M56, on the outskirts of Manchester, the future has landed. A cluster of huge distribution centres sits at the heart of Airport City, a new development part-funded by the Beijing Construction Engineering Group (two years ago, it was visited by president Xi Jinping of China). Among the biggest buildings is one of Amazon's self-styled "fulfilment centres". Known within the company as MAN1, it opened in September last year, but everything inside, from the chairs to the wall-mounted screens, looks as if it has just come out of a box. Deeper within the centre, beyond the reception area and meeting rooms, there is something else just as new: a great expanse of space behind a metal cage, where dozens of robots, finished in Amazon orange and each emblazoned with its own number, glide across the floor, gracefully avoiding collisions and sprinting to their next task. Amazon employees call them "drives", but to all intents and purposes these are droids, summoned from the dreams of science fiction and put to work. In some Amazon warehouses, workers – or, in the company's parlance, "associates" – still pace up and down huge aisles, picking out goods and preparing them for shipment; these shifts are said sometimes to involve hikes of 11 miles. The humans in charge of the process known as "picking" now remain in closed workstations, built around a screen that tells them what they need to get next, while the robots bring the shelves – reinvented as four-sided fabric towers, full of pouches that contain everything from DVDs to dolls – to them. There are tasks only a human can do, such as the careful packing of boxes.

For everybody that's watched Ghost in the Shell and thought to themselves, "yes, I too would like to experience tearing tanks apart with my bare hands," your day has come. Bandai Namco has partnered with VR Zone Shinjuku, a 40,000-square foot VR arcade center, to develop an eight player competitive shooter based on the GiTS universe and they're calling it Ghost in the Shell: Arise Stealth Hounds. The game is set on a 20m x 12m flat arena with the eight players split evenly into teams of four. Each competitor wears a custom VR headset and PC backpack as well as VR markers on their wrists, ankles and hips. The room's motion tracking system uses these markers to translate the user's movements into the VR experience.

Expertise in these areas is an essential basis for the development of cars driving in piloted mode, intelligent robots and digital mobility services. One important element here is Audi's cooperation with the online platform Udacity. "In our areas of the digital future, the rapid development of new IT skills is a critical competitive factor. The topics of artificial intelligence and big data play a key role here," stated Michael Schmid, Head of the Audi Academy. Also Read: Strong Nov-Dec seen lifting Audi's 2017 China volumes into growth This starts with basic programs for new entrants without any knowledge of programming, such as the basis of data analysis, and ends with courses at university level on topics such as artificial intelligence and machine learning.