MDPI’s Post

In the fast-paced world of academic research, managing and utilizing vast amounts of literature efficiently is crucial. Discover essential AI tools like Connected Papers, EasyScholar, Research Rabbit, and PDFtoPDF.ai. These tools help researchers quickly find relevant literature, extract key information, and even convert scanned PDFs into searchable text, maintaining the original format. Improve your research efficiency and quality with these cutting-edge tools. Learn more in our latest article! #AI #Research #AcademicTools #OCR #LiteratureManagement

I'm excited to share that our conference paper titled "Examining the Partnerships between AI and Business Technologies in the Contemporary Environment" has been published in IEEE XPLORE and indexed in Scopus! Article Link: https://lnkd.in/gDQpHa3k #partnreship #AI #business #technologies

We were excited to announce the successful conclusion of the workshop organized by IEEE Computer Society on the topic of “AI Road Map” with distinguished speaker, Mr.Omar Qandil We extend our gratitude to all participants for engaging in insightful discussions on the latest trends and advancements in artificial intelligence. Stay tuned for future events and opportunities! #AI #IEEEComputerSociety #Workshop #ArtificialIntelligence

We're putting the final touches on a module on creative thinking with AI, and this paper confirms what most people can see if they spend enough time playing with AI tools in the right way. AI is really really really good at generating lots of ideas (hence the generative in GenAI), and humans are better at having a sense of what will actually work. The thing that most people see as a bug in GenAI, hallucinations, is the other side of the creativity coin. Yes, because of how they are designed, AI will possibly always generate some claims which are not true. But the ability to hallucinate is closely related to the ability to come up with novel ideas that others would not have thought of. This is also true of humans--scientists with the most open of minds are able to let in new, correct ideas that overturn conventional wisdom, but are also prone to letting in bad ideas as well. (https://lnkd.in/gVzGmtAx) So the best system for creative problem solving is to pair humans who have relevant domain expertise with AI systems that can help expand the current boundaries of the divergent thinking process. And the best process will allow for a very wide exploration of the space of possible solutions, and then impose a rigorous sanity check on anything you actually intend to push forward towards a prototype.

AI @ NC State Hot Topics - University Calendar: ... artificial intelligence to network with experts, scholars and practitioners. A small group from industry and academia will explore a new topic in ... http://dlvr.it/TFWYTz

Check out the new paper, "CountGD: Multi-Modal Open-World Counting." This research introduces a multi-modal approach for open-world object counting, leveraging text and image data to accurately count objects in diverse and dynamic environments. The paper provides a detailed analysis of the techniques used, making it a valuable resource for developers and researchers in AI and computer vision. The findings highlight significant improvements in the accuracy and flexibility of counting objects in real-world scenarios. For those interested in the technical aspects and practical applications of object counting, this paper is essential reading. It offers insights and solutions that contribute meaningfully to advancements in the field. Read the full paper here: [https://lnkd.in/g5sJYzEH] #AI #MachineLearning #ComputerVision #DataScience #Research #Innovation #ObjectCounting #MultiModal

Explore the cutting edge of #STEM research! #AI accelerates experiments, analyses vast scientific databases & simulates complex systems! Learn how #STEMeducation can revolutionise your scientific journey by enhancing efficiency, accuracy & discovery! 👉 https://lnkd.in/drwAtAiM

Researchers have revealed a revolutionary technique that combines artificial intelligence with X-ray technology. This innovative algorithm is capable of teaching itself to recognize unique patterns in materials, paving the way for more precise material analysis and discovery. This advancement could revolutionize how we understand and work with different substances, showcasing the incredible potential of AI to enhance scientific research. Stay tuned for more on this innovative development! #AI #XrayTech #MaterialScience #Innovation

Industry continues to dominate frontier AI research. In 2023, industry produced 51 notable machine learning models, while academia contributed only 15.  There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high. The video displays the global count of AI publications.  Between 2010 and 2022, the total number of AI publications nearly tripled, rising from approximately 88,000 in 2010 to more than 240,000 in 2022. The increase over the last year was a modest 1.1%. Source: Artificial Intelligence Index Report 2024 by Stanford Institute for Human-Centered Artificial Intelligence (HAI) Contributors: Rishi Bommasani Emma Brunskill Erik Brynjolfsson Emily Capstick Loredana Fattorini #AIResearch #MachineLearning #TechIndustry #AcademicResearch #IndustryCollaboration #AIPublications #ArtificialIntelligence #Innovation #ResearchTrends #AIAdvancements #DataScience #FrontierAI #AIModels #TechnologyGrowth #ResearchDevelopment #AIImpact #CollaborationInAI #GlobalAI #AITechnology #FutureOfAI

Check out the new paper, "PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects." This research introduces PartGLEE, a versatile model designed to recognize and parse a wide variety of objects, enhancing the capabilities of object recognition systems. The paper provides a detailed analysis of the techniques used, making it a valuable resource for developers and researchers in AI and computer vision. The findings highlight substantial improvements in object recognition and parsing accuracy. For those interested in the technical aspects and practical applications of object recognition, this paper is essential reading. It offers insights and solutions that contribute meaningfully to advancements in the field. Read the full paper here: [https://lnkd.in/gjazYJuy] #AI #MachineLearning #ComputerVision #DataScience #Research #Innovation #ObjectRecognition #PartGLEE