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Image Recognition With Deep Learning for E-commerce


Artificial Intelligence (AI) is no longer a science fiction whimsy, but an everyday reality. AI is now embedded in many aspects of our lives, from supermarket self-checkout cash registers to face-recognition security checks at the airport. Tech giants such as Microsoft and Google are investing millions of dollars in new AI projects. Initiatives such as a Teachable Machine, which trains computer neural network, are making Machine Learning (ML) user-friendly. Technologies such as neural networks and deep learning are being applied in many sectors by companies like Facebook and IBM.

Lens, Google's Visual Search Tool, Gets Its Most Significant Update Yet


When Google first announced Google Lens last year, it was described as a kind of search in reverse. Rather than type a text query to find image results, you could point your phone's camera at an object, like a dog or a plant, to find text-based information. Lens was not only a statement about your camera as an input device but also a most Google-y expression of technology: It combined search, computer vision, AI, and AR, and put it all in apps that weren't limited to one ecosystem. At this year's developers conference, Google announced the most significant update yet to Google Lens--one that emphasizes shopping, text-reading, and additional language support. And to make Lens more convenient for people to use, Google has convinced a bunch of handset partners to offer Lens as an option right in the native camera app.

What is the Working of Image Recognition and How it is Used?


Before a classification algorithm can do its magic, we need to train it by showing thousands of cat and non-cat images. The general principle in machine learning algorithms is to treat feature vectors as points in higher dimensional space. Then it tries to find planes or surfaces (contours) that separate higher dimensional space in a way that all examples from a particular class are on one side of the plane or surface. To build a predictive model we need neural networks. The neural network is a system of hardware and software similar to our brain to estimate functions that depend on the huge amount of unknown inputs.

7 Ways Image Recognition Can Help Impaired Vision! Here's How


But with the help of technology in this visual age, images, videos are becoming more and more prevalent in today's lives. In the early days, social media was predominantly text-based but now technology has started to adapt according to the needs of people with impaired vision too. All thanks to modern technologies for their design, making navigating social media for giving a wonderful experience to also the visually impaired. Let's look at such one technology called image recognition which made life easier for people with impaired vision. Here are the 7 ways it can aid people.

AI In iPhone & Android Apps: Will Artificial Intelligence Augment Mobile App Technology in 2022?


USM Business Systems has posted a manifold of articles on the emergence and benefits of Artificial Intelligence (AI) technology. From the travel, healthcare, and e-commerce to banking, finance, and entertainment sectors, AI technologies have grabbed the highest priority. Businesses across the globe have a strong belief that revolutionizing AI technology assists them in automating services, reaching the audience, delivering better customer experiences, and generating a strong sales pipeline. In this article, we would like to give you a detailed guide on how AI technology is adopting by industries and what benefits the brands are enjoying by implementing AI in mobile apps. Artificial Intelligence technology is increasingly adopting for mobile apps development.