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) …
We live in a digital utopia. From ordering food to university classes to broad room meeting, the fast pace of digital technologies and connectivity has enveloped our lives where we cannot imagine our day without relying on digital softwares nor devices. All of this swift began decades ago when humans were blessed with the invention of computers. But the main credit of developing a programmable code to run these machines goes to Ada Lovelace, who worked with the father of computer Charles Babbage. Fast forward to the present; we still witness women who have had contributed a lot to the advancement of technologies.
Region's first live, interactive networking business event of H2 2020 On 16 July, Dubai World Trade Centre hosted the Ai Everything x Restart Dubai Summer Conference, the MEASA region's first live, in-person business event to be hosted in H2 2020, driving forward the resumption of the global events sector. Showcasing the profound effect of artificial intelligence on the UAE's pandemic recovery, the event also exemplified how participating entities, technologies and prototypes can revolutionise the country's private sector and its growth prospects in the coming years. Dubai World Trade Centre implemented comprehensive regulatory protective measures at the venue, including temperature screening, social distancing, contactless transactions and hygiene protocols, with all upcoming events set to be conducted similarly in a highly controlled manner to ensure adherence to the strictest health and safety protocols for public wellbeing. His Excellency Helal Saeed Almarri, Director General, Dubai Tourism (DTCM) and Dubai World Trade Centre Authority (DWTCA) said: "Artificial intelligence will transform every industry in the UAE and will provide wide-reaching economic benefits, while the MICE sector remains essential to both the UAE's economic diversification agenda and Dubai's GDP, as well as being a crucial driver behind the development of a knowledge-based economy and a self-sustaining entrepreneurial ecosystem. Visitor safety and assuring a seamless experience for every participant remains our number one priority, and the Ai Everything x Restart Dubai Summer Conference provides a platform for us to implement best-in-class protocols and standards for the resumption of MICE activity, reinforcing Dubai's status a world-class MICE destination and serving as an international model for MICE resumption."
Transfer Learning as the name suggests, is a technique to use previously gained knowledge gained to train new similar models. This technique can also be regarded as a shortcut to solve both machine learning and deep learning problems and it's proved to be the future of machine learning. Machine learning expert Andrew Ng on transfer learning said: "Transfer Learning leads to Industrialisation". Transfer learning in Machine learning is completely inspired by humans' way of learning new things. We human beings, always use our prior knowledge to perform new tasks.
As a species, humanity has witnessed three previous industrial revolutions: first came steam/water power, followed by electricity, then computing. Now, we're in the midst of a fourth industrial revolution, one driven by artificial intelligence and big data. I like to refer to this as the "Intelligence Revolution." But whatever we call it – the fourth industrial revolution, Industry 4.0 or the Intelligence Revolution – one thing is clear: this latest revolution is going to transform our world, just as the three previous industrial revolutions did.
Scientists at the University of California, Riverside, have used machine learning to identify hundreds of new potential drugs that could help treat COVID-19, the disease caused by the novel coronavirus, or SARS-CoV-2. "There is an urgent need to identify effective drugs that treat or prevent COVID-19," said Anandasankar Ray, a professor of molecular, cell, and systems biology who led the research. "We have developed a drug discovery pipeline that identified several candidates." The drug discovery pipeline is a type of computational strategy linked to artificial intelligence -- a computer algorithm that learns to predict activity through trial and error, improving over time. With no clear end in sight, the COVID-19 pandemic has disrupted lives, strained health care systems, and weakened economies.
A former NASA engineer braved shark infested waters to finally uncover if these'ruthless killers' prefer the taste of human or fish blood. Now a YouTuber, Mark Rober setup the gruesome experiment by placing human blood and that from a fish on two modified surfboards. The liquids were pumped into the ocean over the course of an hour while Rober and his team stood by counting the number of visits to each board. Using a drone, Rober and his team calculated the fish blood board was approached 134 times by the sharks, making it the winner. A former NASA engineer braved shark infested waters to finally uncover if these'ruthless killers' prefer the taste of human or fish blood.
Self-driving cars often use a combination of normal two-dimensional cameras and depth-sensing'LiDAR' units to recognize the world around them. However, others make use of visible light cameras that capture imagery of the roads and streets. They are trained with a wealth of information and vast databases of hundreds of thousands of clips which are processed using artificial intelligence to accurately identify people, signs and hazards. In LiDAR (light detection and ranging) scanning - which is used by Waymo - one or more lasers send out short pulses, which bounce back when they hit an obstacle. These sensors constantly scan the surrounding areas looking for information, acting as the'eyes' of the car.
This article builds upon my previous two articles where I share some tips on how to get started with data analysis in Python (or R) and explain some basic concepts on text analysis in Python. In this article, I want to go a step further and talk about how to get started with text classification with the help of machine learning. The motivation behind writing this article is the same as the previous ones: because there are enough people out there who are stuck with tools that are not optimal for the given task, e.g. using MS Excel for text analysis. I want to encourage people to use Python, not be scared of programming, and automate as much of their work as possible. Speaking of automation, in my last article I presented some methods on how to extract information out of textual data, using railroad incident reports as an example.
One factor that could prevent a similar outcome in the upcoming race is the ability to test-run cars on a virtual racetrack. The simulation software company Ansys Inc. has already developed a model of the Indianapolis Motor Speedway on which teams will test their algorithms as part of a series of qualifying rounds. "We can create, with physics, multiple real-life scenarios that are reflective of the real world," Ansys President Ajei Gopal told The Wall Street Journal. "We can use that to train the AI, so it starts to come up to speed." Still, the race could reveal that self-driving cars aren't quite ready to race at speeds of over 110 mph.
This multi-part feature should provide you with a very basic understanding of what AI is, what it can do, and how it works. The guide contains articles on (in order published) neural networks, computer vision, natural language processing, algorithms, and artificial general intelligence. Among the most common misconceptions surrounding machine learning technology is the idea that video games dating back to the 1970s and 1980s had built-in "artificial intelligence" capable of interacting with a human user. If you're curious but in a hurry, video game "AI," in the traditional sense, is not what people refer to in the modern era when they're talking about artificial intelligence. The "bots" in an online multiplayer game, the enemies in a first-person-shooter, and the CPU-controlled characters in old-school Nintendo games are not examples of artificial intelligence, they're just clever programming tricks.