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) …
The technology of AI has been improving every year for the past 20 years, and today it is a very mature technology. Many companies and organizations are actively employing AI in different ways. AI is also developing into the next generation of computing, where big ideas can come from and many people can become an expert on a new discipline. Today, there are many companies working on various AI projects that are shaping the future of the technology. While AI is generally synonymous with artificial intelligence, more technically sophisticated systems can be described as "artificial general intelligence".
Countless studies have shown not only that gender bias is real but also that it has significant repercussions. The pattern of diminishing representation on the higher rungs of the career ladder in STEM fields also holds true broadly in the corporate world: 56% of university graduates are women, yet women represent only 38% of the total workforce, 26% of the managerial ranks, 15% of executive-level positions, and 5% of the CEO ranks. How, then, will AI affect gender diversity in the leadership pipeline? AI has the potential to mitigate the corporate gender and leadership gaps by removing bias in recruiting, evaluation, and promotion decisions; by helping improve retention of women employees; and, potentially, by intervening in the everyday interactions that affect employees' sense of inclusion. Biased data is a source of risk.
Oracle just concluded Oracle OpenWorld 2019, its annual user conference hosted in San Francisco. Larry Ellison, Chairman and CTO of Oracle Corporation is more bullish about the company's cloud strategy than ever. Larry's keynote focused on the core differentiating factors of Oracle Cloud Infrastructure. He claimed that only Oracle has the best cloud infrastructure, platform, and SaaS offerings. Ellison emphasized on the enhancements made to Gen 2 Cloud Infrastructure, Autonomous Database, and some of the new services such as the Digital Assistant Bot and a Machine Learning platform.
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).
At KDnuggets, we try to keep our finger on the pulse of main events and developments in industry, academia, and technology. We also do our best to look forward to key trends on the horizon. In previous years, we have brought collections of predictions and analysis from experts. What were the main developments in Machine Learning and Artificial Intelligence in 2018, and what key trends do you expect in 2019? Below are the responses from Anima Anandkumar, Andriy Burkov, Pedro Domingos, Ajit Jaokar, Nikita Johnson, Zachary Chase Lipton, Matthew Mayo, Brandon Rohrer, Elena Sharova, Rachel Thomas, and Daniel Tunkelang. Key themes singled out by these experts include deep learning advancements, transfer learning, the limitations of machine learning, the changing landscape of natural language processing, and much more. Be sure to check out collected opinions we shared last week when we asked a group of experts the related question, "What were the main developments in Data Science and Analytics in 2018 and what key trends do you expect in 2019?" Anima Anandkumar (@AnimaAnandkumar) is Director of ML research at NVIDIA and Bren Professor at Caltech.
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.
It seems that we've already seen more than we were ready to VR in video games, IoT in medicine and smart cities being brought to life. We are really close to living in some sort of sci-fi so it's a good idea to have a look at the most possible and promising machine learning and AI trends for the upcoming 2018 and ask ourselves if we are ready for them. Healthcare is one of the biggest and most crucial industries in the world so no wonder it's the one that is heavily using the latest technologies – because it's the matter of life and death. First of all, due to artificial intelligence and work with Big Data, a scientist will soon get the opportunity to prevent certain diseases, like cancer. This can be done by analyzing patient's history and all their records so AI will be able to understand the mechanism of disease, thus enabling doctors to be proactive instead of reacting.
Data visualization: In this section, you will learn how to create simple plots like scatter plot histogram bar, etc. Data manipulation: You will learn in detail about data manipulation. GUI Programming: This section is a combination of life instructor-led training and self-paced learning. Developing web Maps and representing information using plots: In this section, you will understand how to design Python applications. Computer vision using open CV and visualization using bokeh: You will also learn designing Python application in the section.
As society turns to artificial intelligence to solve problems across ever more domains, we're seeing an arms race to create specialized hardware that can run deep learning models at higher speeds and lower power consumption. Some recent breakthroughs in this race include new chip architectures that perform computations in ways that are fundamentally different from what we've seen before. Looking at their capabilities gives us an idea of the kinds of AI applications we could see emerging over the next couple of years. Neural networks, composed of thousands and millions of small programs that perform simple calculations to perform complicated tasks such as detecting objects in images or converting speech to text are key to deep learning. But traditional computers are not optimized for neural network operations.
With the emergence of 5G technology, the global AI Market is likely to gain momentum, states Fortune Business Insights in their latest study. The study is titled, "Artificial Intelligence Market: Global Market Analysis, Insights, and Forecasts, 2018 – 2025." According to the study, the global AI market will exhibit remarkable growth owing to factors such as the advent of machine learning into various other industries such as education, health, and others. Technological advancements and the launch of smart devices are creating lucrative growth opportunities for the artificial intelligence market. The rising popularity of machine learning technology is likely to help this segment pick pace over the forecast period.