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) …
A survey with 83 Gartner Research Circle members indicates that, among 35% of the respondents, "identifying use cases for AI" was the top three challenges in exploring and adopting AI. It's impossible to recommend a single use case that is applicable for every city, because different cities have different priorities for their smart city projects. Among all the IoT use cases in smart cities, which keep evolving and expanding, ensure you give priority to those use cases of higher value. How can the value of use cases be defined in a smart city context then? There are some general principles to follow based on two key parameters: value that the project would bring to the citizens and value that the project would deliver for the governments.
KOCHI: Don't be surprized if you receive personalized offers based on your vehicle profile, the next time you pull into an Indian Oil petrol pump. Neuroplex, a startup that emerged from Future Technologies Lab an initiative by Kerala Startup Mission has signed an agreement with Indian Oil Corporation (IOC) to use artificial intelligence (AI) to qualitatively improve customer interaction and safety in their petrol pumps across the country. Their signature product'Eyes Age' uses deep learning to empower video surveillance with AI capabilities. It creates visual relationships between objects in the video which allows for a logical analysis of video data. "The system can identify customers by analysing the number plate of the vehicle and give them unique offers," said Keerthi, a developer with Neuroplex.
Adobe, along with researchers from the University of California, Berkeley, have trained artificial intelligence (AI) to detect facial manipulation in images edited using the Photoshop software. At a time when deepfake visual content is getting commoner and more deceptive, the decision is also intended to make image forensics understandable for everyone. "This new research is part of a broader effort across Adobe to better detect image, video, audio and document manipulations," the company wrote in a blog post on Friday. As part of the programme, the team trained a convolutional neural network (CNN) to spot changes in images made with Photoshop's "Face Away Liquify" feature, which was intentionally designed to change facial features like eyes and mouth. On testing, it was found that while human eyes were able to judge the altered face 53 percent of the time, the the trained neural network tool achieved results as high as 99 percent.
Most of us do not have an equal voice or representation in this new world order. Leading the way instead are scientists and engineers who don't seem to understand how to represent how we live as individuals or in groups--the main ways we live, work, cooperate, and exist together--nor how to incorporate into their models our ethnic, cultural, gender, age, geographic or economic diversity, either. The result is that AI will benefit some of us far more than others, depending upon who we are, our gender and ethnic identities, how much income or power we have, where we are in the world, and what we want to do. The power structures that developed the world's complex civic and corporate systems were not initially concerned with diversity or equality, and as these systems migrate to becoming automated, untangling and teasing out the meaning for the rest of us becomes much more complicated. In the process, there is a risk that we will become further dependent on systems that don't represent us.
For one to have a successful business in the modern world, it is advisable to research and put into action various digital marketing strategies. These will help to get hold of a wider market as most customers have become tech-savvy. In 2019, one can exploit multiple digital marketing opportunities available. Smartphones have become very affordable. For this reason, people have resulted in watching less content on their TVs and are watching more videos on their phones.
London Tech Week is finishing up this weekend and though it's not specifically aimed at travel, there's no doubt that technology is going to play a huge role in how we move around the globe in coming years. At the moment it can often feel as if technology hasn't really lived up to its promise. Airline apps are, for the most part, underwhelming and limited in what they can do. Communications about delays and disruptions certainly haven't gotten any better. Navigating a day of travel can sometimes feel more like an ongoing battle against technology (a temperamental check-in kiosk, for example) rather than a sign of how far we've come.
After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available to the world. The 5-quantum-bit (qubit) resource they now call the IBM Q experience. It was more like a toy for researchers than a way of getting any serious number crunching done. But 70,000 users worldwide have registered for it, and the qubit count in this resource has now quadrupled.
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Artificial intelligence in transportation helps the transportation companies to ensure public safety for their service. Artificial Intelligence in transportation makes use of various concepts like deep learning, computer vision, and context awareness to know the way the drivers handle their resources. The global artificial intelligence in the transportation market is experiencing high demand due to the increasing popularity of the autonomous vehicle. Various organizations are using AI in transportation solutions for data collection and decision making. The growing use of autonomous vehicles, and need to control the operational costs are the major factors that are expected to support the growth of artificial intelligence in transportation market whereas failure in performance is the major factor that is expected to slow down the growth of this market.
I am a senior data scientist at LinkedIn working on SEO and guest experience. I presented at SMX London last month about how to apply data science in SEO. The session covered topics including metrics, A/B testing, SEO vs. SEM cannibalization testing and machine learning for content quality. Here are a few questions from session attendees with my responses. For A/B testing, do you use any specific tools/processes?