One of the best places to start when building a smart home ecosystem is smart lights. Not only are they relatively affordable compared to other IoT gadgets, often costing between $10 and $50 a bulb, but they can also completely change the feel of your home. You can go from boring and analogue to colorful and automated within minutes, and there are endless possibilities when it comes to creating funky-colored light scenes, setting schedules and more. But like the rest of the smart home space over the last few years, there are now more players in smart lighting than ever before. We tested out some of the most popular smart lights on the market and found that most of them are quite good, but there are differences in compatibility, color quality and mobile app usability that are worth considering before deciding which system will be right for your home.
Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one. The diversification of the number of tasks these bots can perform is multiplying, as is the intrinsic complexity of those jobs, which unambiguously benefits knowledge workers worldwide. Whether dynamically engaging in natural language interactions with contact center agents, for example, or issuing and answering queries from a certified knowledge base, intelligent bots are integral for not only automating these data exchanges, but also implementing the ensuing action required to complete workflows. "Over the next one to two years we'll see tens of thousands more knowledge workers deploy digital assistants to reduce complexity, achieve error-free work, help their customers by drastically reducing their'on-hold' times and, most importantly, eliminate the frustration that arises from performing repetitive, manual tasks," presaged Automation Anywhere CTO Prince Kohli. These capabilities, of course, are naturally augmented by coupling intelligent bots with the sundry of Artificial Intelligence manifestations that are more pervasive today than they ever were before.
One of the most common challenges in an e-commerce business to build a well-performing product recommender and categorisation model. A product recommender is used to recommend similar products to users so that total time and money spent on platform per user will be increased. There is also a need to have a model to categorise products correctly since there might be some wrongly categorised products in those platforms especially where most of content is generated by users as in case of classified websites. A product categorisation model is used to catch those products and place them back into their right categories to improve overall user experience on the platform. This article has 2 main parts.
Silicon Valley CEOs usually focus on the positives when announcing their company's next big thing. In 2007, Apple's Steve Jobs lauded the first iPhone's "revolutionary user interface" and "breakthrough software." Google CEO Sundar Pichai took a different tack at his company's annual conference Wednesday when he announced a beta test of Google's "most advanced conversational AI yet." Pichai said the chatbot, known as LaMDA 2, can converse on any topic and had performed well in tests with Google employees. He announced a forthcoming app called AI Test Kitchen that will make the bot available for outsiders to try.
When Hugging Face first announced itself to the world five years ago, it came in the form of an iPhone chatbot app for bored teenagers. It shared selfies of its computer-generated face, cracked jokes and gossiped about its crush on Siri. It hardly made any money. The viral moment came in 2018--not among teens, but developers. The founders of Hugging Face had begun to share bits of the app's underlying code online for free.
Robots are not limited to industrial works anymore! Thanks to the integration of artificial intelligence and voice recognition, robots are slowly invading our smart homes embedded with devices like wireless security cameras, Smart TVs, Amazon's Alexa, Amazon Echo, Google Assistant, Philips Hue lightbulbs, Ecobee4, etc. And it is not a secret that machine learning software development is on rise now. A lot of clients are coming to develop personalized ML solutions for their businesses. ABI Research predicts that this integration will grow, and by 2024 that over 79 million homes in the world will have a robot in the house.
While dating apps were once seen as taboo, they're now one of the main ways that singletons find love around the world. But if you have a profile on a dating app, a new study may encourage you to reassess which pictures you include. Researchers from the University of Colorado have revealed that men who pose topless on Tinder are seen as less competent and more promiscuous. The first dating app can be traced back to 1995 when Match.com was first launched. The website allowed single people to upload a profile, a picture and chat to people online.
It is utopian to rule out any form of anthropomorphism when addressing a conversational assistant because of the use of language as a vector of exchange. Designers, therefore, must limit these shortcomings with the implementation of these design rules, thus reducing the risks of deception and dependency, and giving confidence in these systems.
Matthew Miller started using mobile devices in 1997 and has been writing news, reviews, and opinion pieces ever since. He was a co-host, with Kevin Tofel, of the MobileTechRoundup podcast for 13 years and authored three Wiley Companion series books. Last year we were impressed with the Samsung Google partnership and Samsung's efforts to integrate Wear OS into its smartwatches running its Samsung Exynos mobile processor. We then purchased and tested the Galaxy Watch 4 Classic and deemed it a worthy competitor to the Apple Watch. A few months ago Samsung released a major software update that improved health and wellness features, while also confirming to the public that Google Assistant was still in the works.
Galaxy Watch 4 users can now start using Google Assistant on the device. Along with being available in the app tray, you can trigger Assistant via voice command and assign it to a long press on the home button. In addition, today's update offers users access to Google Pay, Maps and YouTube Music. During Google I/O earlier this month, Samsung said Google Assistant support would arrive on the device sometime this summer, so it's arriving earlier than some may have expected. Patrick Chomet, Samsung's executive vice president of products and experience, noted that Assistant would allow for "faster and more natural voice interactions."