Background: The emergence of generative AI tools, empowered by Large Language Models (LLMs), has shown powerful capabilities in generating content. To date, the assessment of the usefulness of such content, generated by what is known as prompt engineering, has become an interesting research question. Objectives Using the mean of prompt engineering, we assess the similarity and closeness of such contents to real literature produced by scientists. Methods In this exploratory analysis, (1) we prompt-engineer ChatGPT and Google Bard to generate clinical content to be compared with literature counterparts, (2) we assess the similarities of the contents generated by comparing them with counterparts from biomedical literature. Our approach is to use text-mining approaches to compare documents and associated bigrams and to use network analysis to assess the terms' centrality. Results The experiments demonstrated that ChatGPT outperformed Google Bard in cosine document similarity (38% to 34%), Jaccard document similarity (23% to 19%), TF-IDF bigram similarity (47% to 41%), and term network centrality (degree and closeness). We also found new links that emerged in ChatGPT bigram networks that did not exist in literature bigram networks. Conclusions: The obtained similarity results show that ChatGPT outperformed Google Bard in document similarity, bigrams, and degree and closeness centrality. We also observed that ChatGPT offers linkage to terms that are connected in the literature. Such connections could inspire asking interesting questions and generate new hypotheses.

Artificial Intelligence (AI) is already revolutionising the way we work and conduct research, and its future impact is challenging to predict. Concerning qualitative content analysis, recent studies demonstrate its usefulness for coding research interviews, a fundamental tool for data collection across numerous academic disciplines (Lopezosa and Codina, 2023; Zhang et al., 2023). However, its use is incipient and there are still not many experiences in the scientific literature, despite the need to analyse and closely monitor the development of tools with the potential to bring about such profound changes. Consequently, this paper illustrates its practical application in a real case where interviews were initially manually coded using expert criteria. These interviews were carried out as part of a broader study aimed at evaluating the changes in landscape quality that occurred on a small island in Cuba (Cayo Santa María) as a result of tourism development (Burgui et al., 2018).

The'Godfather of AI' has warned the tech will be smarter than humans in some ways by the end of the decade - and he believes it will ultimately destroy humanity. In a doom-laden interview with 60 Minutes, Geoffrey Hinton, 75, predicted that in five years, the systems will be surpass human intelligence that would lead to the rise of'killer robots,' fake news and a boom in unemployment. Hinton is a former Google executive credited with creating the technology that became the bedrock of systems like ChatGPT and Google Bard. He recently revealed his fears that the technology could go rogue and write its own code, allowing it to modify itself. While the scientist fears many aspects of the technology, he said AI has huge benefits in healthcare, such as designing drugs and recognizing medical issues.

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' You've probably heard of some of the biggest artificial intelligence chatbots being used and explored today, like ChatGPT and Google Bard. One artificial intelligence tool that may be new to you is Auto-GPT, an AI tool released at the end of March that is more advanced than both ChatGPT and Google Bard. Auto-GPT is a step closer to creating what is known as "strong AI," a type of AI that is likely what we pictured when we thought of AI in the past. These depictions often feature robots with human-like capabilities that were only seen in futuristic science-fiction movies.

While many workers worry AI bots will take their jobs, Samsung employees are no longer allowed to use them. The company banned generative AI tools, like ChatGPT and Google Bard, after discovering staff had added sensitive code to them, Bloomberg reported. This revelation followed last month's incident in which Samsung engineers uploaded internal source code and meeting notes to ChatGPT and accidentally leaked it. Samsung isn't waiting for another mishap to take action. "HQ is reviewing security measures to create a secure environment for safely using generative AI to enhance employees' productivity and efficiency," the company said in a memo to staff.

This one is a no-brainer. We've had ChatGPT, Google Bard and god knows what else has come out of the woodwork in the past month. So what is Natural Language Processing (NLP) and why did I mention ChatGPT and Google Bard? NLP is the process of helping computers understand text data. Learning a language is already difficult for us humans, so you can imagine how difficult it is to teach a computer to understand text data.

"ChatGPT gained one million users In less than a week and will continue to gain more in the future. Bard, a competitor to ChatGPT from Google, and AI search strategies compete with Microsoft." Have you also heard the talk of town i.e., Generative AI – ChatGPT and Google Bard? Today, in this blog, we will expose a tech battle between these two ChatGPT vs Google Bard AI chatbots. Competition heats up in the AI space.

The technologies behind artificial intelligence and machine learning keep getting better. From the first AI checkers and chess programs written in 1951 at the University of Manchester to OpenAI's ChatGPT and Google's Bard AI, the history and evolution of artificial intelligence is long and full of breakthroughs. Currently, AI is being used for many purposes across various industries. In the transportation industry, AI is now used in self-driving cars, auto-pilot software for autonomous flying, and software used to help drivers find the most efficient routes to avoid traffic and save time and fuel. In the healthcare industry, AI is now used by doctors to help keep track of symptoms and identify potential diagnoses and used by pharmaceutical scientists to design new drug therapies.

The biggest difference between Google Bard and ChatGPT is that, as of this writing, Bard knows about ChatGPT but ChatGPT is blissfully unaware of Bard. But I can play around with ChatGPT, while Google Bard is still out of reach for most of us. Both ChatGPT and Google Bard are AI chatbots. The simplest version of this technology already exists on your smartphone - you type "Good," and your phone predicts that the next word you might want to use is "morning." ChatGPT was originally developed by OpenAI and then invested in by Microsoft for an eye-watering $10 billion (in addition to an earlier $1 billion investment).

Artificial Intelligence (AI) is expected to go mainstream in the APAC region by the end of 2023 with more than 88% of enterprises in the region already using or planning to use AI or machine learning (ML) applications over the next 12 months, according to an IDC report, jointly commissioned by Lenovo and AMD. "AI applications enable CIOs to analyze large volumes of information and create real-time insights to drive customer engagement and customer experience, managing growing complexity of a rapidly expanding geo-dispersed infrastructure for higher levels of resiliency and agility, and securing their IT operations against the backdrop of growing incidence of ransomware and malware attacks," said the IDC report, which was based on a study of over 900 CIOs & IT decision makers across Asia Pacific. The top three business processes in which enterprises are expected to incorporate AI/ML include IT operations, cybersecurity, and customer support and service, the study noted. "Organizations are seeking AI/ML to streamline IT operations, as till today there are organizations that take time to get a virtual machine allocated to a customer," said Amit Luthra, managing director for India at Lenovo ISG. Given that in the present business environment there are some workloads in the public cloud while some in the hybrid cloud, it becomes difficult to define the operations and ascertain who presides over what data, Luthra pointed out.