Plotting

Personal Assistant Systems


MLOps: How to Operationalise E-Commerce Product Recommendation System

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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.


Google Has a Plan to Stop Its New AI From Being Dirty and Rude

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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.


The $2 Billion Emoji: Hugging Face Wants To Be Launchpad For A Machine Learning Revolution

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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.


Top 5 smart personal home robots you can buy in 2022

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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.


Men who pose topless on Tinder are seen as less competent and more promiscuous, study reveals

Daily Mail - Science & tech

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.


Ethics And Conversational Assistants

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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.


Google Assistant arrives on the Samsung Galaxy Watch 4

ZDNet

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.


Google Assistant is now available on the Samsung Galaxy Watch 4

Engadget

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."


Artificial Intelligence: Its benefits and challenges - Clover Infotech

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Artificial Intelligence was first popularized by a small group of scientist gathered at the Dartmouth College in the United States in 1956. Since then, AI has advanced considerably and is powering many real-world applications ranging from facial recognition to language translators and virtual assistants such as Siri and Alexa. Still, we are far from witnessing AI-powered robots emulating humans. So far that is confined to the Sci-Fi movies. However, AI has created quite a stir in the business world with its many benefits and challenges.


Building Smarter Apps Using Mobile Artificial Intelligence

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Mobile artificial intelligence is disrupting the already breakneck-paced mobile app development game. In 2020, the mobile AI sector reached a valuation of 2.14 billion dollars, and that number is expected to grow 4.5x by the year 2026. It's safe to say that mobile artificial intelligence is here to stay, so let's find out how this innovative technology is used in mobile app development. Mobile artificial intelligence aims at making mobile technology smarter and more functional for users. A well-known example of the power of mobile AI is Amazon's Alexa Shopping product, which has freed up countless hours of customer support grunt work for Amazon.