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Data Structures and Algorithms Full Course 【𝙁𝙧𝙚𝙚】


Data Structures and Algorithms - A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to

Implementing Particle Swarm Optimization in Tensorflow


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Contentgine Employs Artificial Intelligence And Machine Learning


Contentgine, the world leader in content-based marketing, today released its latest "Top 5" research ranking the most popular artificial intelligence (AI) content consumed by B2B decision makers and analyzed by its Content Indication Platform (CIP). To determine the category leaders, Contentgine's CIP employed machine learning and AI to examine content consumption across more than 3000 AI case studies, research papers, and eBooks syndicated from the world's largest B2B library. "AI software is not only a category in and of itself, but it is also a core component of other categories," said "Top 5 in 15" Series Host Robert Rose, best-selling author and chief strategy advisor for the Content Marketing Institute. "We're talking about the core component of AI software that may or may not be embedded into other solutions to achieve advanced automation, decision insights, predictive measurement, targeting, personalization, content management, and conversational interfaces. Given the vast interest in this topic today, it's wonderful to see so many well performing assets available to decision makers."

Greatest offers at this time: Razer's Ebook 13 Laptop computer, gaming screens, Amazon's Echo Dot, and extra - Channel969


We begin at this time's offers choice with a number of choices for these on the lookout for a brand new laptop computer. First up, we've got the Razer Ebook 13 Laptop computer that's presently receiving a really compelling $310 low cost that interprets to 17 % financial savings. In different phrases, you will get your fingers on a brand new Razer Ebook 13 Laptop computer for simply $1,490. The Razer Ebook 13 Laptop computer comes filled with a really potent Intel Core i7 processor, Intel Iris Xe graphics, a 13.4-inch UHD show able to delivering 60Hz refresh charges, 16GB RAM, and 1TB space for storing. It is available in a fantastic Mercury White presentation, which a white RGB backlit keyboard and assist for Thunderbolt 4 ports.

How you can create value in an intelligent health ecosystem


The health care revolution is not just an opportunity but an urgent and essential need. Our existing health care models are not sustainable in the long run. The cost of health spending continues to rise with the rapid worldwide growth of costly chronic diseases. Meanwhile, the global health care workforce faces a predicted shortfall of 18 million health workers by 2030, a gap which will accelerate the necessary adoption of digital technologies. Yet while these trends are widely acknowledged, health care organizations and stakeholders need to recognize that we now also have the tools for transformation, which will not only drive efficacy of care and personalization, but also, and equally importantly, better access and efficiency.

Is diversity the key to collaboration? New AI research suggests so


As artificial intelligence gets better at performing tasks once solely in the hands of humans, like driving cars, many see teaming intelligence as a next frontier. In this future, humans and AI are true partners in high-stakes jobs, such as performing complex surgery or defending from missiles. But before teaming intelligence can take off, researchers must overcome a problem that corrodes cooperation: humans often do not like or trust their AI partners. MIT Lincoln Laboratory researchers have found that training an AI model with mathematically "diverse" teammates improves its ability to collaborate with other AI it has never worked with before, in the card game Hanabi. Moreover, both Facebook and Google's DeepMind concurrently published independent work that also infused diversity into training to improve outcomes in human-AI collaborative games.

The best smart lights you can buy


One of the best places to start when building a smart home ecosystem is smart lights. Not only are they relatively affordable compared to other IoT gadgets, often costing between $10 and $50 a bulb, but they can also completely change the feel of your home. You can go from boring and analogue to colorful and automated within minutes, and there are endless possibilities when it comes to creating funky-colored light scenes, setting schedules and more. But like the rest of the smart home space over the last few years, there are now more players in smart lighting than ever before. We tested out some of the most popular smart lights on the market and found that most of them are quite good, but there are differences in compatibility, color quality and mobile app usability that are worth considering before deciding which system will be right for your home.

How to Explore a Dataset of Images with Graph Theory


When you start working on a dataset that consists of pictures, you'll probably be asked such questions as: can you check if the pictures are good? A quick-and-dirty solution would be to manually look at the data one by one and try to sort them out, but that might be tedious work depending on how many pictures you get. For example, in manufacturing, you could get a sample with thousands of pictures from a production line consisting of batteries of different types and sizes. You'll have to manually go through all pictures and arrange them by type, size, or even color. The other and more efficient option, on the other hand, would be to go the computer vision route and find an algorithm that can automatically arrange and sort your images -- this is the goal of this article. But how can we automate what a person does, i.e. compare pictures two by two with one another and sort them based on similarities?

2022 Trends in Intelligent Bots: Knowledge Worker Empowerment - insideBIGDATA


Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one. The diversification of the number of tasks these bots can perform is multiplying, as is the intrinsic complexity of those jobs, which unambiguously benefits knowledge workers worldwide. Whether dynamically engaging in natural language interactions with contact center agents, for example, or issuing and answering queries from a certified knowledge base, intelligent bots are integral for not only automating these data exchanges, but also implementing the ensuing action required to complete workflows. "Over the next one to two years we'll see tens of thousands more knowledge workers deploy digital assistants to reduce complexity, achieve error-free work, help their customers by drastically reducing their'on-hold' times and, most importantly, eliminate the frustration that arises from performing repetitive, manual tasks," presaged Automation Anywhere CTO Prince Kohli. These capabilities, of course, are naturally augmented by coupling intelligent bots with the sundry of Artificial Intelligence manifestations that are more pervasive today than they ever were before.

Understanding Agent Environment in AI - KDnuggets


Before starting the article, it is important to understand what an agent in AI is. The agent is basically an entity that helps the AI, machine learning, or deep reinforcement learning to make a decision or trigger the AI to make a decision. In terms of software, it is defined as the entity which can take decisions and can make different decisions on the basis of changes in the environment, or after getting input from the external environment. In simpler words, the quick agent perceives external change and acts against it the better the results obtained from the model. Hence the role of the agent is always very important in artificial intelligence, machine learning, and deep learning.