The rapidity of recent Chinese advances in artificial intelligence indicates that the country is capable of keeping pace with, or perhaps even overtaking, the United States in this critical emerging technology. The successes of major Chinese technology companies, notably Baidu Inc., Alibaba Group and Tencent Holding Ltd.--and even a number of start-ups--have demonstrated the dynamism of these private-sector efforts in artificial intelligence. From speech recognition to self-driving cars, Chinese research is cutting edge. Although the military dimension of China's progress in artificial intelligence has remained relatively opaque, there is also relevant research occurring in the People's Liberation Army research institutes and the Chinese defense industry. Evidently, the PLA recognizes the disruptive potential of the varied military applications of artificial intelligence, from unmanned weapons systems to command and control.

Siri on the iPhone, Cortana on Windows, Alexa, self-driving cars, and face recognition on Facebook photos, these are all examples of how Artificial Intelligence (AI) is already having a profound impact on human lives. This trend is also impacting manufacturing, albeit on a smaller scale now, with robots being increasingly used to replace humans in factories across the globe, from the US, Europe, Japan, China and Taiwan. Foxconn has already replaced 60,000 humans with robots in its factories, after developing artificial intelligence solutions for its manufacturing processes. Such a strategy they insist shall help them offset increasing labour costs in labour-intensive countries such as China. Also, with AI technologies finding their way into manufacturing, leading economists from MIT are worried that technology is replacing jobs at a faster pace than creating new ones, which could lead to higher unemployment over a short-term period.

These days, even when I read news about India's state owned air carrier, as "New AI connectivity between cities X & Y", the first connection my (poor human) brain makes is to'Artificial Intelligence'. Only then it connects to Air India. This is because everyone (in my extended professional circle) is talking of Artificial Intelligence. Though I had done a short elective on AI in my computer engineering days (16 years back), done some basic LISP programming as part of it, had presented a paper on'Genetic Algorithms' in a seminar (again that long ago), and am an avid watcher of Sci-Fi movies around AI (and claim to have understood Matrix the first time I watched it -- with subtitles though, ha!), I realize that my knowledge of what AI is, is no better than a layperson (or worse, since half knowledge is more dangerous). This article is an endeavor to sort of unpack AI (and the associated words like ML -- machine learning, DL -- deep learning) for myself. And publishing it around to benefit others that are in a similar boat. And also to get feedback from others to correct my understanding. Without much dumbing down (or may be with), Artificial Intelligence is fundamentally anything that a computing machine does. Even the basic accountant calculator that does 2 2 4 is'artificial intelligence'. However, we do not consider them as'AI' because of what is called'AI effect' -- When we know'how' a machine does something'intelligent,' it ceases to be regarded as intelligent. Tools we take for granted (pick any of your favorite app) are all'AI'. Anything that is'eaten by software' can be considered as Artificial Intelligence. And why is everyone talking about it?

The concept of artificial intelligence (AI) has always fascinated humans. The ancient Greek myths of Hephaestus and Pygmalion incorporated the idea of intelligent robots and artificial beings. In the 1950s, British scientist Alan Turing proposed the now-famous Turing Test as a measure of machine intelligence, and Isaac Asimov published his Three Laws of Robotics. The Turing Test has been long passed, and AI is an everyday occurrence with Siri and Google Now. At the same time SMS messaging has become the most popular method of written communication in history, with an estimated 6 billion humans now using mobile messaging to talk to each other around the world.

"Learning", "thinking", "intelligence", even "cognition"… Such words were once reserved for humans (and to a lesser extent, other highly complex animals), but have now seemingly been extended to a "species" of machines, machines infused with artificial intelligence or "AI". In October 2015, a computer program developed by Google DeepMind, named AlphaGo, defeated the incumbent European champion at the complex ancient Chinese board game of Go. In March 2016, AlphaGo went on to defeat the world champion, Lee Sedol. This seminal moment caught the world's attention, the media have since been incessantly covering every AI-related story, and companies from all walks of life have since been on a mission to add "artificial intelligence" to their business description. At Platinum we have been closely following the major technological trends for many years.

A new hack has been discovered that gathers sensitive information from a desktop computer's tiny blinking LED lights. Researchers have successfully extracted a computer's secrets using a data-stealing drone that is capable of recording the Morse code-like patterns of LED indicators. However, the team has also devised a strategy to combat the hack – a security measure that takes sensitive computer systems off the internet. A new hack has been discovered that gathers sensitive information from a desktop computer's tiny blinking LED lights. Researchers at Ben-Gurion University have uncovered a new way to hack computers.

We introduce a new paradigm that is important for community detection in the realm of network analysis. Networks contain a set of strong, dominant communities, which interfere with the detection of weak, natural community structure. When most of the members of the weak communities also belong to stronger communities, they are extremely hard to be uncovered. We call the weak communities the hidden community structure. We present a novel approach called HICODE (HIdden COmmunity DEtection) that identifies the hidden community structure as well as the dominant community structure. By weakening the strength of the dominant structure, one can uncover the hidden structure beneath. Likewise, by reducing the strength of the hidden structure, one can more accurately identify the dominant structure. In this way, HICODE tackles both tasks simultaneously. Extensive experiments on real-world networks demonstrate that HICODE outperforms several state-of-the-art community detection methods in uncovering both the dominant and the hidden structure. In the Facebook university social networks, we find multiple non-redundant sets of communities that are strongly associated with residential hall, year of registration or career position of the faculties or students, while the state-of-the-art algorithms mainly locate the dominant ground truth category. In the Due to the difficulty of labeling all ground truth communities in real-world datasets, HICODE provides a promising approach to pinpoint the existing latent communities and uncover communities for which there is no ground truth. Finding this unknown structure is an extremely important community detection problem.

Samsung is apparently ready to bet big on artificial intelligence, with a massive amount of money set aside for buying more AI companies. Artificial intelligence is rapidly gaining ground and it's playing an increasingly bigger role in people's everyday lives. From smart digital assistants to all sorts of gadgets, robots, infotainment systems and more, AI is shaping up as a cornerstone of modern technology and it adds convenience in virtually every technology area. We've seen an impressive growth in the artificial intelligence field in recent years and the trend is gaining momentum still, with more companies embedding AI technology into more products and areas. Samsung itself is expected to take a big AI plunge with a smart assistant called Bixby, presumably set to grace the next-generation Samsung Galaxy S8 flagship.

The concept of artificial intelligence (AI) has always fascinated humans. The ancient Greek myths of Hephaestus and Pygmalion incorporated the idea of intelligent robots and artificial beings. In the 1950s, British scientist Alan Turing proposed the now-famous Turing Test as a measure of machine intelligence, and Isaac Asimov published his Three Laws of Robotics. The Turing Test has been long passed, and AI is an everyday occurrence with Siri and Google Now. At the same time SMS messaging has become the most popular method of written communication in history, with an estimated 6 billion humans now using mobile messaging to talk to each other around the world.

Inside a simple computer simulation, a group of self-driving cars are performing a crazy-looking maneuver on a four-lane virtual highway. Half are trying to move from the right-hand lanes just as the other half try to merge from the left. It seems like just the sort of tricky thing that might flummox a robot vehicle, but they manage it with precision. I'm watching the driving simulation at the biggest artificial-intelligence conference of the year, held in Barcelona this past December. What's most amazing is that the software governing the cars' behavior wasn't programmed in the conventional sense at all.