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Artificial Intelligence Search Engines

Shubham Agarwal:
The best AI search engines in 2024.

A. Baucon and C.N. de Carvalho (2024): Can AI Get a Degree in Geoscience? Performance Analysis of a GPT-Based Artificial Intelligence System Trained for Earth Science (GeologyOracle) Geoheritage, 16.

Heise Online (in German):
Perplexity ausprobiert: Was der KI-Chatbot besser macht als ChatGPT (by Daniel Berger, February 01, 2024).

itPortal24:
Die 8 besten KI Suchmaschinen in 2024. In German.

Imad Khan, CNET:
Perplexity AI Review: Imagine ChatGPT with an Internet Connection.

S. Patra et al: (2024): Harnessing AI for Geosciences Education: A Deep Dive into ChatGPT's Impact. In PDF, Geosci. Commun. Discuss. https://doi.org/10.5194/gc-2023-7, 2024.
See here as well.

! Perplexity AI.
An AI search engine that combines the best of AI chatbots and search engines. Worth checking out:
AI Search Engines FAQ: Everything You Need to Know.

Jannik Schubert, Stoplooking:
Die besten Chatbots in der Übersicht. Go to:
! Perplexity AI.
A review, in German.

M. Shukla et al. (2024): A Comparative Study of ChatGPT, Gemini, and Perplexity. Free access, International Journal of Innovative Research in Computer Science and Technology, 12: 2347-5552. https://doi.org/10.55524/ijircst.2024.12.4.2.
"... This research work presents comparatively analysis of the three Generative Artificial Intelligence (AI) tool, namely ChatGPT, Gemini, Perplexity AI, based on the content generation, ownership and developing technology, context understanding, transparency, and information retrieval ..."

Wikipedia, the free encyclopedia:
Category:Artificial intelligence companies .
! Category:Chatbots.
Category:Virtual assistants.
! Perplexity AI.
Kategorie:Künstliche Intelligenz (in German).
Kategorie:Suchmaschine (in German).
Perplexity AI (in German).

! M. Yaqoob et al. (2025): Advancing paleontology: a survey on deep learning methodologies in fossil image analysis. In PDF, Artificial Intelligence Review, 58. See also here.
Note Figure 9: Chronological overview of DL applications in fossil image analysis from 2017 to 2024.
"... key fossil image processing and analysis tasks, such as segmentation and classification, still require significant user intervention, which can be labor-intensive and subject to human bias. Recent advances in deep learning offer the potential to automate fossil image analysis, improving throughput and limiting operator bias
[...] we discuss novel techniques for fossil data augmentation and fossil image enhancements, which can be combined with advanced neural network architectures ..."

ZDNET (a Ziff Davis company):
The best AI search engines of 2024: Google, Perplexity, and more.












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Last updated January 20, 2025