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Artificial intelligence software to compare leaves?
Dear Image-J members: Having learned that computer software can see more than the human eye and how to take measurements, etc. of fossil leaves, now, several colleagues of mine and I want to compare the images of the fossil leaves that have not been identified with each other as well as to identified ones to see if we can either create morphogroups and/or identify the unidentified samples comparing them with known samples using artificial intelligence software. Do you know of any such software? If you do, please feel free to send me an email directly to: [hidden email] Gratefully, Jorge Jorge A. Santiago-Blay, PhD *https://blaypublishers.com <http://blaypublishers.com>* 1. Positive experiences for authors of papers published in *LEB* http://blaypublishers.com/testimonials/ 2. Free examples of papers published in *LEB*: http://blaypublishers.com/category/previous-issues/. 3. *Guidelines for Authors* and page charges of *LEB*: http://blaypublishers.com/archives/ *.* 4. Want to subscribe to *LEB*? http://blaypublishers.com/subscriptions/ http://blayjorge.wordpress.com/ http://paleobiology.si.edu/staff/individuals/santiagoblay.cfm -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
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Greetings Jorge!
"Having learned that computer software can see more than the human eye [...]" Interesting to see that you seem to have learned this. For good reasons I doubt that it holds true in general. Present day AI and machine learning appears to do magic but actually is quite limited with many respects. In any case, always make sure that results obtained with such techniques not only appear reasonable but come close to the facts. "[...] and how to take measurements, [...] There is no doubt that the human eye is not very good in making quantitative assessments. Machines do a much better and more reliable job but this does not necessarily hold for AI and machine learning approaches. Regarding image processing, you will find a lot of AI and machine learning software, and even some approaches that work together with ImageJ. You may start with classification software such as WEKA but there are "Ilastik", "ImJoy", "Orbit", "ZeroCostDL4Mic", to name a few... Regards Herbie ::::::::::::::::::::::::::::::::::::::::::::::::::: Am 07.11.20 um 03:02 schrieb Jorge A. Santiago-Blay: > Artificial intelligence software to compare leaves? > > Dear Image-J members: > > Having learned that computer software can see more than the human eye and > how to take measurements, etc. of fossil leaves, now, several colleagues of > mine and I want to compare the images of the fossil leaves that have not > been identified with each other as well as to identified ones to see if we > can either create morphogroups and/or identify the unidentified samples > comparing them with known samples using artificial intelligence software. > Do you know of any such software? > > If you do, please feel free to send me an email directly to: > [hidden email] > > Gratefully, > > Jorge > > Jorge A. Santiago-Blay, PhD > *https://blaypublishers.com <http://blaypublishers.com>* > > 1. Positive experiences for authors of papers published in *LEB* > http://blaypublishers.com/testimonials/ > > 2. Free examples of papers published in *LEB*: > http://blaypublishers.com/category/previous-issues/. > > 3. *Guidelines for Authors* and page charges of *LEB*: > http://blaypublishers.com/archives/ *.* > > 4. Want to subscribe to *LEB*? http://blaypublishers.com/subscriptions/ > > http://blayjorge.wordpress.com/ > > http://paleobiology.si.edu/staff/individuals/santiagoblay.cfm > > -- > ImageJ mailing list: http://imagej.nih.gov/ij/list.html > -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
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Artificial Intelligence – AI is a field correlated with the automation of machines to carry out rapid tasks as if they are human. The automation of human intelligence is regarded as artificial intelligence.
The Evolution of Artificial Intelligence ![]() Machine Learning: ML is an instance of algorithms an intelligent system applies in order to experience and learn. The advancement of machine learning contributes greatly in the evolution of artificial intelligence. This is because it helps intelligent systems to be adaptive and improve with time. Machine Intelligence: One step above other forms of algorithms, based on experience learning, is the use of Deep Neural Networks. This is where Artificial Intelligence is mainly concentrated these days, to strengthen intelligence, using deep learning solutions, and predictive analytics in AI. According to GMI Research, the Saudi Arabia AI Market is estimated to grow at a promising CAGR of 17.5% during the forecast period till 2032 Artificial Intelligence and its Forms Artificial General Intelligence AGI is having the capacity to execute tasks done by humans, such as the case of self-driving cars by Uber. This demands ongoing learning and use of AI software development for various streams of work, including problem-solving at advanced levels, AI integration service and Machine Learning. Artificial Super Intelligence Super intelligence is beyond failing in tasks that average human intelligence can accomplish, and is able to perform tasks that is cognitively superior to humans. This can change the way predictive analytics in AI, deep learning solutions, and AI- driven automation solutions work. Autonomous Vehicles AI is the backbone of self-driving and autonomous cars. It recognizes objects, makes decisions and navigates, using computer vision applications and AI-driven automation solutions. E- business and its Recommendation System AI in recommendation engine development serves the customer by personalizing their shopping experience. It enriches every step of the process, by acting on customer recommendations, fine-tuning search results and optimizing recommended merchandising. Robotics and Automation AI robotics and automation improve processes across industries, including manufacturing, logistics, and inventory control, through the automation of repetitive integrations and the streamlining of learning processes, machine development, and AI integration service efficiencies. Image and Speech Recognition AI applications have made and continue to refine various technologies, including visualization and inspection systems, facial recognition, object detection, speech recognition, and text synthesis and analysis, for improved systems security and convenience. Predictive Analytics AI predictive systems foster the development of models across various predictive systems to determine and forecast customer forecasts, behavior, and strategies in diverse industries, with particular interest in demand forecasting applications. Cybersecurity AI improves the quality of security through the detection of anomalies, the identification of threats, and the real-time prevention of cyberattacks through AI-driven automation systems that provide greater response time efficiencies. Smart Assistants and IoT AI development has resulted in the development of various smart systems, including home automation, voice-controlled systems such as Siri and Alexa, and the collaborative Internet of Things, which has enabled the automation of the systems and advanced control and is evident in the growing integration of AI for the development of virtual and voice systems. How AI is Transforming Various Industries Healthcare: AI is utilized in the healthcare industry for the diagnosis of disease, identification of cancer cells, analysis of chronic conditions, drug discovery, and development of tailored medical treatments. The integration of AI-driven automation technologies and predictive analytics in AI is changing the systems used in healthcare. Manufacturing: Incorporating artificial intelligence within quality control, predicting maintenance, optimizing supply networks, and increasing efficiencies and accuracies in tasks held by robots. The development of software AIs is crucial in enhancing the output from efforts within the industry. The utilization of AIs in the Agriculture Sector: Identifying soil anomalies, deficiencies in nutrients, detecting weeds, and crop harvesting. Monitoring the health of crops with computer vision is one of the applications that are used to enhance productivity in farming. |
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