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How to Choose a Major for Artificial Intelligence: Degree Research Guide

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Artificial intelligence (AI) offers plenty of opportunities in the job market, as many AI companies try to solve real-world problems through this field of practice. AI's growth also comes with a wide range of options available to find the best majors for artificial intelligence. When it comes to what degree in artificial intelligence should you pursue, keep reading to learn how to choose a major for artificial intelligence and know the possible AI career paths that are open to you after graduating. A career in artificial intelligence provides tech professionals with competitive pay, job security, and continuous learning and development. The Bureau of Labor Statistics (BLS) reports that the average annual salary for computer and AI professionals is $126,830.


Machine learning explores materials science questions and solves difficult search problems

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Using computing resources at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), researchers at Argonne National Laboratory have succeeded in exploring important materials science questions and demonstrated progress using machine learning to solve difficult search problems. By adapting a machine-learning algorithm from board games such as AlphaGo, the researchers developed force fields for nanoclusters of 54 elements across the periodic table, a dramatic leap toward understanding their unique properties and proof of concept for their search method. The team published its results in Nature Communications in January. Depending on their scale--bulk systems of 100 nanometers versus nanoclusters of less than 100 nanometers--materials can display dramatically different properties, including optical and magnetic properties, discrete energy levels, and enhanced photoluminescence. These properties may lend themselves to new scientific and industry applications, and scientists can learn about them by developing force fields--computational models that estimate the potential energies between atoms in a molecule and between molecules--for each element or compound.


AI for business users: a glossary

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When you work with IT staff and data scientists, they're going to use acronyms that you might not be familiar with. It's important to know some of the basic terms and acronyms so you can communicate. Business users should make themselves familiar with these common AI terms to communicate well with the data teams. Artificial intelligence is a form of intelligence demonstrated by a computer. A computer can be programmed with logic and business rules that will enable it to "reason" through situations and come up with a conclusion.


The best smart home and kitchen sales we found for Memorial Day

Engadget

If you've been waiting to upgrade your home with the latest gear, this weekend might be the time to do so. From robot vacuums to Instant Pots, there are a number of great sales for connected appliances and kitchen gadgets for Memorial Day this year. As you can imagine, there are quite a lot of them, so we've collected some of the best ones below. Anker's Eufy RoboVac 11S is one of our favorite budget robot vacuums thanks to its slim profile, smart features and affordable price. It doesn't have WiFi, but it does have a remote control.


Data Structures and Algorithms Full Course 【𝙁𝙧𝙚𝙚】

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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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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. It's free, we don't spam, and we never share your email address.


Contentgine Employs Artificial Intelligence And Machine Learning

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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

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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

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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

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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.