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How Does AI Help You Search Better?


AI technology has grown in leaps and bounds over the past few years, and one of its main implementations is internet search engines. From correcting misspelled words to predicting what a user wants to search for, AI has made searching the web so much easier. Google is the leader when it comes to the sheer volume of search queries that it handles. Naturally, it has implemented an AI-based algorithm that helps improve your search experience. Exactly how does AI do this?

Reimagine knowledge discovery using Amazon Kendra's Web Crawler


When you deploy intelligent search in your organization, two important factors to consider are access to the latest and most comprehensive information, and a contextual discovery mechanism. Many companies are still struggling to make their internal documents searchable in a way that allows employees to get relevant information knowledge in a scalable, cost-effective manner. A 2018 International Data Corporation (IDC) study found that data professionals are losing 50% of their time every week--30% searching for, governing, and preparing data, plus 20% duplicating work. Amazon Kendra is purpose-built for addressing these challenges. Amazon Kendra is an intelligent search service that uses deep learning and reading comprehension to deliver more accurate search results.

New research reveals almost 3 million people think AI is dangerous


Get the day's biggest stories sent direct to your inbox so you never miss a thing Artificial Intelligence (AI) has become a staple of our daily lives, from Siri to Google Assistant which can control our phones, computers and even homes. The world of media has explored the advancement and potential dangers of rapidly advancing AI for decades, films such as Blade Runner and 2001: A Space Odyssey have touched on the themes of what happens when AI grows beyond human control. But how much does this affect our perception of AI and its involvement in our daily lives? Using data from Google Search Trends and Linkfluence, new research from Ebuyer has revealed that globally almost 3 million people had searched negative themes around AI online. The research discovered that the biggest search queries included "Can artificial intelligence be dangerous?"

AI-Memer: Using Machine Learning to Create Funny Memes


The user starts by entering a search query to find a background image, like "apple pie". The system then checks for matching images in Wikimedia Commons [1] and the OpenImages dataset [2]. Both datasets have corresponding text descriptions of the images. I use the CLIP [3] encoders from OpenAI to first perform a semantic search on the text descriptions. A semantic search looks for matching concepts, not just a word search.

PimEyes: Face Recognition Search Engine and Reverse Image Search


A reverse image search is a technique that allows finding things, people, brands, etc. using a photo. While performing a regular search you usually type a word or phrase that is related to the information you are trying to find; when you do a reverse image search, you upload a picture to a search engine. In the results of regular searches, you receive a list of websites that are connected to these phrases. When you perform a reverse image search, in the results you receive photos of similar things, people, etc, linked to websites about them. Reverse search by image is the best solution to use when looking for similar images, smaller/bigger versions of them, or twin content. Announces Release Artificial Intelligence Copywriting Tool for SEO

#artificialintelligence, a search engine optimization (SEO) agency, in collaboration with, a custom software development company, has launched, a tool that makes it easier for businesses and individuals to generate web copy. Businesses of all sizes and in all industries face a similar dilemma online: getting attention and standing out. Most brands use a combination of different marketing and advertising strategies to get this attention and differentiate themselves from their competitors. For a campaign to succeed, it needs a set of compelling, unique copy – persuasive writing that concisely makes a point and motivates a web user to take an action (such as clicking a link, buying a product, or watching a video). Generating copy is challenging for several reasons, even if one is experienced in the field.

Now Google will display why it's showing you its search results


The man behind the Google Search curtain is coming out to explain a few things. On Thursday, Google expanded the information that it attaches to search results to show users why they're getting the website recommendations they receive. This includes the "matching keywords" and "related terms" associated with your search that show up in the result, as well as whether other pages reference that link, and if it makes sense for your local area. Google doesn't make a secret of the factors that go into its search rank algorithm -- it spells everything out here. But showing how it applies that criteria to your specific query gives users a new, practical look under the Google hood.

Online Retail Ads on AdWords


As an online or physical retail company, your goal is to sell as many products as possible to the public. While traditional advertising methods would have you putting leaflets through doors, the modern marketing approach is all about online ads. Currently, Google Ads is one of the biggest online advertising platforms. However, Google isn't the easiest advertising platform to understand and implement. Especially for those new to the marketing niche, you might be confused by the many different options.

Alibaba Develops Search Engine Simulation AI That Uses Live Data


In collaboration with academic researchers in China, Alibaba has developed a search engine simulation AI that uses real world data from the ecommerce giant's live infrastructure in order to develop new ranking models that are not hamstrung by'historic' or out-of-date information. The engine, called AESim, represents the second major announcement in a week to acknowledge the need for AI systems to be able to evaluate and incorporate live and current data, instead of just abstracting the data that was available at the time the model was trained. The earlier announcement was from Facebook, which last week unveiled the BlenderBot 2.0 language model, an NLP interface that features live polling of internet search results in response to queries. The objective of the AESim project is to provide an experimental environment for the development of new Learning-To-Rank (LTR) solutions, algorithms and models in commercial information retrieval systems. In testing the framework, the researchers found that it accurately reflected online performance within useful and actionable parameters.

In The U.S., Google Searches For 'Dating' Have Reached A 5-Year High

NPR Technology

A selection of online dating app logos are seen on a mobile phone screen. Google searches for "dating" have jumped to a 5-year high. A selection of online dating app logos are seen on a mobile phone screen. Google searches for "dating" have jumped to a 5-year high. It's the middle of what has already been dubbed a "Hot Vax Summer," and whether you're hesitant about getting back out there or ready to flirt, trending Google searches reveal that dating is definitely on our minds.