If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In February 2018, researchers from Proofpoint discovered a huge botnet dubbed'Smominru' that was using the EternalBlue exploit to infect Windows computers and recruit them in Monero cryptocurrency mining activities. According to the researchers, the Smominru botnet has been active at least since May 2017 and at the time of its discovery infected more than 526,000 Windows computers. According to a new report published by the researchers at Guardicore Labs, the Smominru, is rapidly spreading and now is already infecting over 90,000 machines each month around worldwide. The report published by Guardicore Labs researchers analyzes the attack chain and the nature of the victims. Experts discovered that many machines recruited in the botnet were reinfected even after removing the Smominru, a circumstance that suggests that these systems remain unpatched since first infection.
The Internet of things (IoT) is the inter-networking of physical devices (also termed as connected devices or smart devices), vehicles, buildings and other objects (which could be smart wearable, diagnostic device, kitchen appliances etc.) embedded with electronics, software, sensors, actuators, and network connectivity that enables these "smart objects" to collect and exchange data. In other words, Internet of things is a global infrastructure for the information society. IoT allows advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies. For example, the smart refrigerator in your kitchen (at home) can send you an alert (or notification) on your smartphone (while you are leaving office) when you're out of milk or gas. Your wearable or smartwatch can warn you if there is something wrong with your pulse or heart-rate. Additionally, all this information gets recorded. Later, the software after looking at the data can provide you information like: you are likely to run of milk on Wednesday, run out of gas in two weeks, or likely to get a heart attack in three months (so, time for a check-up and take precautions).
Another distressing application of AI isn't necessarily to attack or steal from businesses or consumers but to allow criminals to get away with other sorts of crimes, like illegal drug sales or sex trafficking. Money laundering is a crucial step in making ill-gotten gains appear legitimate; in the past, criminals would channel their profits from crime through certain investments, but through the application of AI, criminals can deposit dirty money directly into financial institutions and move the money around to make it appear more legitimate. In one case, an AI transferred various sums amongst more than 250 accounts, using labels like "present for Dad" or "new car" to make the transfers more realistic. This made the money all but impossible to track, as when the criminals finally took the money out of the bank, authorities struggled to identify where the money came from to begin with.
As a young child, I used to imagine what life would be like if I had a chauffeur to drive me wherever and whenever I wanted. Of course, this was a luxury afforded by only the wealthy and remained well out of reach for most people -- myself included. Fast forward to today, and the rise of the ride-sharing economy has essentially leveled the playing field, giving everyone affordable access to on-demand transportation. Access to artificial intelligence (AI) is poised to undergo a similar shift. Traditionally, large corporations and government entities have been ahead of the adoption curve because they've had the capital to invest in and the talent to leverage the technology.
China and the U.S. are the top two countries for robot demand. It's true that more robots than ever are participating in the human labor force. Last year, businesses worldwide spent $26 billion employing some 70 million robots on manufacturing and service jobs, according to the World Robotics Report published by the International Federation of Robotics (IFR) on Wednesday. On the industrial side, 422,000 robots were shipped last year, a 6% increase from 2017. More than half of the robots were bought by automotive and electronics companies, which came as a surprise amid the tough market conditions facing these industries in 2018.
Choosing the right investment strategy is a very important step towards reaching your financial goal, whether it is accumulating enough to buy a cottage house or living the life of a millionaire after retirement. The way you build and manage your portfolio largely depends on your appetite for risks and the available funds, as well as your personal preferences and understanding of the market. Thus, it is no surprise that there are quite a few investment strategies out there, and while quite many of them have been showing good results, there is still room for improvement. The booming artificial intelligence technology has been a boon for the financial industry, and in this article, we will show why some of the most popular investment strategies and AI are a match made in heaven. The artificial intelligence has turned into a buzzword these days, to the point where it can at times be difficult to figure out what exactly this umbrella term means.
Created in 2017 from the combination of two long-standing companies, Finastra has already emerged as one of the largest financial technology (fintech) companies in the world, building solutions to support banking and other financial services. Finastra has made innovation its hallmark, constantly seeking new ways to use technology to improve financial services for banks and customers alike. By forming a close working relationship with Microsoft, Finastra is now ushering in a new generation of fintech that puts humans at the center of these technological solutions. With Microsoft Azure, Finastra has elevated its open innovation platform, FusionFabric.cloud, The platform is built with the power of Microsoft machine learning and advanced analytics tools.
Technology has been blamed for a lot recently. Automation and artificial intelligence have supposedly led to substantial job losses, reduced bargaining power for workers and increased discrimination. It is even blamed for growing income and wealth inequality and, as a result, the presidency of Donald Trump, Brexit, the rise of far-right populism in Europe and the spectre of climate change. In response, calls are being made for global oversight and regulation of technology and there are attempts to slow down its spread through protectionist trade policies and political lobbying. But perhaps we should be careful about so readily blaming technological innovation for these social problems.
A unit of South Korea's Samsung Electronics has bought a 30% stake for more than $40 million in Vietnam's second-largest IT company CMC Corp. which hopes to use most of those proceeds to focus on developing the "internet of things" and artificial intelligence technologies. CMC hopes this expanded partnership with Samsung, which has a global reach, will help to double its overseas sales to more than 30% of its total by 2023. CMC has been making computer systems and services related to internet of things for Samsung since 2016. Samsung has now completed the acquisition of a 25% stake in new CMC shares and the other 5% by buying on the Ho Chi Minh Stock Exchange. Chairman and CEO Nguyen Trung Chinh said this commitment from Samsung will propel CMC to becoming a global company in the next five years.
Natural Language Processing (NLP) is a massive space within artificial intelligence (AI), which enterprises are integrating into their existing platforms more each day. As petabytes of textual data become available each day, companies can leverage NLP to retrieve deeper insights. Aspects such as entities, sentiment, emotion, and keywords can be extracted from textual data and enterprises can leverage this information to pivot, understand customer sentiment, and improve internal efficiency. Watson Natural Language Understanding (NLU) and Watson Natural Language Classifier (NLC) are cutting-edge NLP technologies that provide deep insight into textual data. Watson NLU provides insight such as entities, emotion, keywords, sentiment, and categories, while Watson NLC allows users to train a classification model in under 15 minutes and classify text.