When people type a question into Perplexity, the two-year-old search engine scours the internet and uses information from multiple sources, including online publishers, to synthesize an answer using AI. Soon, Perplexity will start sharing revenue with some publishers as part of an advertising platform it plans to launch around the end of September, the company announced on Tuesday. The initiative, known as the Perplexity Publishers' Program, comes less than two months after the San Francisco-based startup backed by investors like Jeff Bezos and NVIDIA, and valued at 3 billion, came under fire from Forbes, Wired, and Condé Nast for allegedly scraping content without permission and ignoring robots.txt, Perplexity's initial partners include TIME, Fortune, The Texas Tribune, Der Spiegel and Automattic, the company behind Wordpress.com. It's not clear exactly how much revenue Perplexity will share with publishers.

OpenAI announced a new AI-powered search engine prototype called SearchGPT. It's described SearchGPT as "a temporary prototype of new AI search features that give you fast and timely answers with clear and relevant sources." The company plans to test out the product with 10,000 initial users, then roll it into ChatGPT after gathering feedback. It's a spicy time to launch AI-powered search engines. Last month, Perplexity faced criticism for summarizing stories from Forbes and Wired without adequate attribution or backlinks to the publications.

OpenAI on Thursday announced a new AI-powered search engine prototype called SearchGPT. The move marks the company's entry into a competitive search engine market dominated by Google for decades. On its website, OpenAI described SearchGPT as "a temporary prototype of new AI search features that give you fast and timely answers with clear and relevant sources." The company plans to test out the product with 10,000 initial users and then roll it into ChatGPT after gathering feedback. The launch of SearchGPT comes amid growing competition in AI-powered search.

In an unassuming office on a quiet, mostly residential street in Mountain View, California -- located eight minutes from Google's sprawling headquarters -- a couple of ex-Googlers and their team of 50 are trying to build a search engine they hope will someday rival their former employer's. The company, Neeva, was started in 2020 by Sridhar Ramaswamy, who ran Google's $162 billion advertising arm before stepping down in 2018, and Vivek Raghunathan, a former Google vice president who worked on monetizing YouTube and other parts of the company. For a few years, the startup, which has raised over $77 million from some of Silicon Valley's top investors, focused on differentiating itself from Google by shunning invasive advertising and allowing power users to pay for extra features. Then, around the end of last year, the team at Neeva watched as a chatbot called ChatGPT created by the San Francisco–based startup OpenAI went viral. ChatGPT's ability to divine answers to nearly every question with an eerily humanlike sentience made it an instant hit, unleashing a modern AI wave. Suddenly, people around the world were talking about replacing Google search with ChatGPT. After all, if a chatbot could instantly answer any question for you, why would you need a search engine that simply spat out a bunch of links for you to trawl through?

Facing renewed competition from Microsoft and OpenAI, Google is reportedly "racing" to build an "all-new" AI-powered search engine. According to The New York Times, the company is in the early stages of creating a search service that will attempt to anticipate what you want from it in hopes of offering "a far more personalized experience." The project has "no clear timetable." However, knowing that Google is also developing a suite of new AI features for its existing search engine under the codename "Magi." Among the features Google is developing is a chatbot that can answer software engineering questions and generate code snippets.

In an age where chatbots and search engines are becoming increasingly advanced, the competition to offer the most intuitive and user-friendly services is fierce. One of the latest contenders in this space is Perplexity, a free alternative to the popular ChatGPT and Bing Chat platforms. Established in 2022 by a group of experts in AI, machine learning, and back-end systems, Perplexity is rapidly gaining popularity as a go-to tool for instant answers and information. Perplexity is an AI-powered search engine and chatbot that leverages natural language processing (NLP) to understand and respond to user inquiries effectively. Its sophisticated algorithms can analyze questions, generate meaningful answers, and provide relevant information tailored to each user's needs.

So far, there doesn't seem to be an awful lot that ChatGPT – the chatbot powered by artificial intelligence (AI) – can't do. It has been used to pass exams, deliver a sermon, write software and give relationship advice -- to name just a handful of its functions. The bot is currently free for anyone to use, meaning that lots of users have been asking it questions to get the information they need in their daily lives. Since the turn of the millennium, this job has been primarily reserved for Google -- the world's most popular search engine and its $149 billion (£120 billion) business. And, if so, which of the warring tech giants will get there first?

Artificial Intelligence was one of the biggest technology buzzwords of 2017, and the trend is not going anywhere anytime soon. Last year, the invention of hybrid computational models helped explain how systems make decisions – making AI trustworthy and allowing for a more widespread adoption of automation and robots. With Forrester Analytics predicting that automation will take over 7% of US jobs by 2025, Artificial Intelligence is already everywhere around us. The healthcare industry is estimated to reach US $6.6 billion by 2021, according to Accenture analytics. Implementation of AI processes such as cognitive learning, big data management and deep learning is revolutionising diagnostics, treatments and research processes.