human computer interaction


Headless Commerce Gets a Massive Push with a New Acquisition Deal

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Both Moltin and Elastic Path are leaders in the headless commerce ecosystem. Together, the headless commerce industry leaders would provide unmatched business user experience and technical agility to accelerate digital customer experience innovation. Headless Commerce platform is an independent architecture that independently exists and operates as a link between the front-end and back-end of an e-commerce application. The links can be established using APIs, experience management platforms, and tools such as Heroku and Mulesoft. Modern Content Management Systems (CMS) have a limited layer of headless features– meaning, front-end and back-end retain their reciprocal properties during the dynamic/ live applications and A/B testing.


Headless Commerce Gets a Massive Push with a New Acquisition Deal

#artificialintelligence

Both Moltin and Elastic Path are leaders in the headless commerce ecosystem. Together, the headless commerce industry leaders would provide unmatched business user experience and technical agility to accelerate digital customer experience innovation. Headless Commerce platform is an independent architecture that independently exists and operates as a link between the front-end and back-end of an e-commerce application. The links can be established using APIs, experience management platforms, and tools such as Heroku and Mulesoft. Modern Content Management Systems (CMS) have a limited layer of headless features– meaning, front-end and back-end retain their reciprocal properties during the dynamic/ live applications and A/B testing.


Apple's low-power AI acquisition will bolster its surging AR play

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Apple reportedly spent around $200 million to purchase US artificial intelligence startup Xnor.ai, according to GeekWire. The startup's low-power, edge-based AI tools will allow Apple to add AI features to power-constrained devices, like smart cameras or phones. For instance, Xnor.ai's most notable technology is an AI-based image recognition tool that enables on-device human detection for smart home cameras. Apple will also have access to a platform created by Xnor.ai that allows software developers who aren't well-versed in AI to implement AI-related code and data libraries in their apps. Apple's Xnor.ai acquisition is just one of many it has recently made, as it aims to create more powerful and personalized AI features.


LG Thinq Opens New Age of AI in 2020 Pioneering AI Experience Levels

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It all starts with Efficiency, the first level of the framework. Level-one AI can carry out specific functions through automation that make user interactions more efficient and effective. Users can employ simple and easy voice commands for various tasks like stocking up on orange juice or simply asking for the time. Currently available with many voice recognition and AI-enabled products on the market today, such as the LG ThinQ air conditioner, many people may find some scenes depicted in this video familiar. Personalization is represented in the second level, at which AI can recognize patterns and regularities from past user interactions and use them to optimize and personalize functions for a specific person.


From Artificial Intelligence to Augmented Reality to Peer-to-Peer Learning, 7 Ed Tech Trends to Watch in 2020

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"Technology has taken over the century, creating a rapidly changing landscape that has dramatically touched nearly every aspect of social interaction, business and entertainment. Education, though, has proved slow in experiencing the digital disruption, says Michal Borkowski, CEO and co-founder of Brainly, an online peer-to-peer learning community. He views the 2020s as technology's time to shine in education." Your email address will not be published.


Tech Trends To Watch For In 2020

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Over the past year, this column has celebrated female technologists of all disciplines and from across a wide range of industries. Nearly all of them have mentioned the growing importance of Artificial Intelligence or machine learning to their work. Importantly, those same women all reinforced the need to engage more females in positions relative to AI – both to aid in its unbiased application and to optimize its use in business and society. So, as we look ahead to the trends and technologies that will likely dominate this next year and decade, it makes sense to begin by unpacking how AI might continue its march forward and the opportunities it will create for female entrepreneurs, engineers, marketers, and others. From email marketing to financial services, women tech leaders expect AI and machine learning to continue augmenting businesses' abilities to improve scale, efficiency, and – in some cases – impact.


eLearning Trends In 2020 To Look Out For - eLearning Industry

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In December 2019, I began work on my eBook and this article on eLearning trends in 2020. This is the ninth in a series of articles and eBooks on eLearning trends since 2017. Here is my list of eLearning trends in 2020. I believe all of these will be an integral part of workplace learning in the near future. Given the large number of trends, I have logically grouped them into 3 sections.



Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition

Neural Information Processing Systems

We propose a new sketch recognition framework that combines a rich representation of low level visual appearance with a graphical model for capturing high level relationships between symbols. This joint model of appearance and context allows our framework to be less sensitive to noise and drawing variations, improving accuracy and robustness. The result is a recognizer that is better able to handle the wide range of drawing styles found in messy freehand sketches. We evaluate our work on two real-world domains, molecular diagrams and electrical circuit diagrams, and show that our combined approach significantly improves recognition performance. Papers published at the Neural Information Processing Systems Conference.


Edge Computing Trends for 2020 & the Next Decade

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Phillip Marangella, CMO for EdgeConneX explores how edge data centers can help us rearchitect the internet in a way that will support the flood of data and massive traffic flows generated by emerging technologies like AI, cloud gaming, VR/AR and multi-cloud deployments, and more. The internet was not constructed to handle the traffic flows of today, and it's only going to get more congested in the coming months and years. Traditionally, traffic flows on the internet have largely been download-centric and networks have been built out to support those flows. However, the gravity of data and compute has shifted from the core to the edge as a result of technologies like the Internet of Everything (IoE), artificial intelligence and machine learning, cloud gaming and HD streaming and virtual reality. There is much more content and data that is now being created, stored and processed at the edge.