Meet Aswini Thota, an Analytics and Artificial Intelligence (AI) leader who solves organisational and business problems leveraging data. He always believed in the power of data and amased what insights we can grasp from it. Over the course of his career, Aswini has developed a skill set in analysing data and he hopes to use his experience and expertise in data science to help people discover the amazing career opportunities that lie ahead in the field of Data Science. He has effectively evolved from a machine learning researcher to an award-winning AI / Data science leader. Aswini holds two master's degrees in Electrical Engineering and Data Science.

Computer vision is a fast-growing subfield of AI and deep learning. From cashierless stores in retail to crop detection in agriculture, there's an increasing interest in CV applications. This has created a vibrant community that gladly shares architectures, codes, pre-trained models, and even tips for every stage of the development cycle. Starting a CV project from scratch takes time. So, the usual process is, given a problem or a use case, you look for models that partially solve it.

Out of 11 proposals that were accepted this year by the NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon, two are led by UMD faculty. The program's goals are to increase accountability and transparency in AI algorithms and make them more accessible so that the benefits of AI are available to everyone. This includes machine learning algorithms--a subset of AI in which computerized systems are "trained" on large datasets to allow them to make proper decisions. Machine learning is used by some colleges around the country to rank applications for admittance to graduate school or allocate resources for faculty mentoring, teaching assistantships or coveted graduate fellowships. "As these AI-based systems are increasingly used in higher education, we want to make sure they render representations that are accurate and fair, which will require developing models that are free of both human and machine biases," said Furong Huang, an assistant professor of computer science who is leading one of the UMD teams.

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As the use of data becomes more popular, it results in high demand for Data Scientists. Every day there are new companies offering bootcamps, and Universities curating new courses to meet this demand. However, it can be difficult to choose where to go to get the right content and the best resources. With the world being forced to work from home due to the pandemic, there are a lot of people who are studying remotely. We are becoming more prone to watching lectures from a Zoom call or a video.

The global Artificial Intelligence (AI) in Education industry research digs into the topic, covering classifications, implementations, meanings, and supply chain frameworks. The production position, development objectives, efforts, and cost information are all briefly mentioned in the report. The most recent industry study survey, which is being provided to a global audience, comprises development patterns, an Artificial Intelligence (AI) in Education industry prognosis, and the growth status of important areas. The report also looks at the impact of the COVID-19 outbreak on global consumer pricing, market share, and yearly growth rate. The global Artificial Intelligence (AI) in Education research report evaluates the industry's current condition and future prospects, as well as the market size and market share by geography.

In the back room of an old and graying building in the northernmost region of New Zealand, one of the most advanced computers for artificial intelligence is helping to redefine the technology's future. Te Hiku Media, a nonprofit Māori radio station run by life partners Peter-Lucas Jones and Keoni Mahelona, bought the machine at a 50% discount to train its own algorithms for natural-language processing. Mahelona, a native Hawaiian who settled in New Zealand after falling in love with the country, chuckles at the irony of the situation. "The computer is just sitting on a rack in Kaitaia, of all places--a derelict rural town with high poverty and a large Indigenous population. I guess we're a bit under the radar," he says. As a nonprofit journalism organization, we depend on your support to fund coverage of Indigenous issues and communities. Donate any amount today to become a Pulitzer Center Champion and receive exclusive benefits!

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. It's a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist. The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You'll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

Early AI began with a variety of tasks such as checkers and chess, speech recognition, language translation, and solving word problems. Over the years it has progressed to give us automated vacuum cleaners, robot dogs, Siri and Alexa, image recognizers, Chess and Go world masters, self-driving cars, and self-guided drones. These technologies have powerful impacts on Naval operations and warfighting as well. AI has the potential to revolutionize military technology, capability and operations. The possibilities have raised many speculations about what AI is capable of and whether it can be trusted.

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