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) …
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Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade.
All India Radio (AIR), in association with Vigyan Prasar, an autonomous organisation under the Department of Science and Technology and Tamil Nadu Science Forum (TNSF), announced the starting of a new radio science series on artificial intelligence (AI). Produced by Madurai AIR, the new science series titled -- 'Ini yavum nunnarive' (Future is Artificial intelligence) will be broadcasted on AIR every Saturday at 8 PM from March 6th, 2021. With a focus on AI science and research in India and across the world, this series will talk about how artificial intelligence is used in literature, industrial and social sectors, as well as discuss the futuristic society and the apprehensions around it. According to the news media, the series will be produced in 19 different Indian languages. They will be broadcasted on more than 121 AIR stations to cover 85% of the country's geographical area.
It is very common for ML practitioners to split their dataset into three disjoint subsets: training, validation, and test. Multiple instantiations of the model are trained on the training set and evaluated on the validation set, in search of the best combination of hyperparameter values. The combination that yields the highest validation performance is selected, and the final model is judged based on its performance on the test set, often expressed as a single-valued metric like accuracy. This established best practice deliberately closes an eye to the results on the validation set: once a piece of data is used to alter the model (in this case the value of the hyperparameters), it is considered tainted and loses its ability to evaluate how well the model generalizes. Dodge et al.  argue that discarding the validation metrics is a missed opportunity to quantify how much computation has gone into finding the right set of hyperparameters.
Stanford publishes its AI Index Report that focuses on the developments of the complex artificial intelligence landscape since 2017. The latest report -- 2021 -- shed some light on the impact of COVID-19 in AI research, countries leading the race in research, and more. In a total of 7 chapters, the Stanford AI Index Report also covers aspects like AI education, research and development, diversity in AI, and AI policy. One of the most surprising revelations, for many, is that China overtakes the US in terms of journal citation, pinpointing the advancement in their research. This comes after China surpassed the US in the terms of the number of artificial intelligence research publications in 2017 after briefly overtaking in 2004.
The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they're looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences.
The last few years saw customers shift their preference from buying clothes at retail outlets to conveniently buying online on their gadgets. This change in customer behavior was further accelerated by COVID-19 as customers had to depend on buying online for most of their shopping needs. Despite COVID-19 beginning to ease off slowly, customers believe that shopping online is a lot more convenient than having to go from store to store to get what they’re looking for. E-commerce brands are thus doing their best to keep their hard-earned customers engaged on their platform by delivering personalized user experiences. We caught up with Mohit Panjwani, Associate Director- Revenue Growth at Myntra to understand how e-commerce fashion brands like Myntra are leveraging the power of customer data and marketing analytics to craft memorable and personalized shopping experiences. Myntra is India’s leading e-commerce company committed to making fashion and lifestyle products accessible to everyone. From its birth as a customization company in 2007 to being technology and fashion pioneers today, Myntra has grown to become the ultimate destination for fashion and lifestyle, being host to a wide array of merchandise including clothing, footwear, accessories, jewellery, personal care products, etc. Mohit shares his thoughts on: * Major customer engagement and retention challenges faced by e-commerce brands * Importance of adopting an omnichannel approach to effectively engage with customers across all touchpoints of the user journey * Need to have a consistent messaging across channels beyond website and app- thoughts on product recommendations, personalized emails, and app push notifications * How predicting customer churn through ML is critical to increasing retention * Innovative campaigns and ideas used to increase customer engagement and repeat purchase behavior * 3 biggest e-commerce trends that can pick up steam in 2021 Tune in to gain insights on how the best in the business caters to customer needs and requirements by delivering customer experiences at scale.
As video streaming, Alexa-type digital assistants and self-driving cars continue to permeate daily life, edge computing architecture has become foundational to enable these tasks. These data-intensive processes are fueled by a proliferation of Internet of Things (IoT) devices.. According to Statista, there will be 30.9 billion devices by 2025. These devices are becoming increasingly intelligent as well, with more analytics and decision-making capabilities at the device level. "There are more and more devices that need intelligent capabilities, especially to process AI at the edge," said Aditya Kaul, research director at Omdia.
Bhagat Singh, Marie Curie, Charles Darwin, and other historical figures were momentarily'brought back to life' via Deep Nostalgia – an AI tool released by the genealogy website, MyHeritage. Kind of surreal to take a photo of the singularly inspiring Bhagat Singh -- a revolutionary voice in 1920s India, who was hung by the British in 1931, at the age of 24 -- run it through the Heritage AI algorithm, and see him reanimated. When Ken Burns meets Deep Fake: MyHeritage is offering a tool dubbed #DeepNostalgia, meant to animate old family pictures. Holy Darwin this #deepfake is so scary, Mr. Darwin!!#DeepNostalgia pic.twitter.com/vxWP5LnO9L Deep Nostalgia created quite a furore of late, with animated pictures of historical figures running rife in social media.