View allAll Photos Tagged artificialintelligence
#FALL2023 #tree #nature #October #November #Fall #Autumn #Automne #Autunno #Efterår #Herbst #Herfst #Höst #Høst #Jesen #Jesień #Mùathu #Musimgugur #Ősz #Otoño #Outono #Podzim #Rudens #Sonbahar #Sügis #Syksy #tagwâgi #Toamnă #Φθινόπωρο #Есен #Осень #خريف #ฤดูใบไม้ร่วง #가을 #秋 #秋天 #Hösten #Ruduo #Foghar #Autumnus #Sügise #Hostjé #Сонцекрас #Hösttiden #Güz #Охуран #Haaztsaastsoh #WiíiyayA #Thlak'wimpt #Misko #Autumn #AutumnAesthetic #AutumnAesthetics #AutumnArt #AutumnBeauty #AutumnChill #AutumnDays #AutumnDecor #AutumnEquinox #AutumnFeelings #AutumnFever #AutumnFoliage #AutumnHarvest #AutumnInspiration #AutumnJoy #AutumnLeaves #AutumnLifestyle #AutumnLove #AutumnMagic #AutumnMood #AutumnScenery #AutumnStyle #AutumnTime #AutumnVibes #AutumnWalks #AutumnWeather #AutumnWonderland #CozyAutumn #CozySeason #CrispDesigns #FallColors #FallFoliage #FallIllustration #FallPalette #FallVibes #FestiveGraphics #GoldenHourDesign #HarvestHues #Leaves #RusticInspiration #SweaterWeatherDesign #SweaterWeatherPalette #WarmTones #AI_MAIN #ArtificialIntelligence #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #BigData #Tech #Innovation #AIArtistry #ArtificialArt #MachineArt #AIgenerativeart #ArtificialVision #NeuralArt #Cyberart #SyntheticDesign #DigitalPainting #AlgorithmicPainting #GeneratedArt #RoboticDesign #AIinspiredart #ArtificialInspiration #DataVisualization #TechDesign #ArtificialExpression #ArtificialBeauty #ArtificialBrilliance #TheArtOfMachine #AIInnovationInArt #AiArt #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ArtificialCreativity #DigitalArt #GenerativeArt #TechArt #AIgenerated #SyntheticArt #CodeArt #DataArt #AlgorithmicArt #ArtificialImagination #TheArtofAI #AIandArt #AIinArt #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA #ILLUSTRATION #darluniad #illustrasjon #illustratie #illustrationi #illustratsioon #ilustração #ilustrace #ilustrācija #ilustración #ilustracja #ilustrasi #kuva #myndskreyting #paglalarawan #иллюстрация #চিত্রণ #插图
See my main account for my photography, videos, fractal images and more here: www.flickr.com/photos/josh-rokman/
This is one of a series of images I made with the Bing Image Creator, which is an AI image generator powered by DALL-E 3.
For most of these images I tried to combine multiple elements together into one, rather than creating a scene with multiple separate elements. This pushes the limits of what the AI model can do, and maximizes the amount of human control over the images. For example, I might use the text prompt ‘photo realistic snake plane made out of carbon fiber and gold’.
Here is my take on AI generated images vs. human made art: I think that the quality of AI generated images will NOT dramatically improve, even many years into the future. The ultimate goal of a creative image is to create a certain emotional state in the viewer. - Emotions themselves - are the main tool used to do this. A purely logic driven machine can only create a crude, generalized model of something meant to create a certain emotional state. When someone makes a piece of art, it is always some combination of using logic and emotions to guide the process. Remember that the ultimate goal is to create a certain emotional state in the viewer. Only having access to logic, but not emotions, will always create a very generic looking work. You need to actually be able to feel emotions to fine-tune the work beyond that, since creating emotions is the ultimate goal.
The main difference between an AI model and a human is not the difference in the power of the logic that can be deployed. The difference is that a human can feel emotions, which is key to creating an image (or text) made to create a certain emotional state. The logic that the best AI image generator models currently have seems to already be at the level of what the best human can do (based on some of the results I got, which was quite a shock). The results are still crude and generic compared to what a human can do, because the AI models have no access to emotions, which are the main tool for making and refining a creative work designed to create certain emotional states.
All creative work is built with a combination of logic and emotions (emotions should always be the main tool), and by not having direct access to emotions, a machine can only create crude, generic results. When I make music I always try and use emotions rather than logic to guide the process as much as possible, since creating a certain emotional state in the listener is the ultimate goal. The best AI models have an amazing ability to use logic to mix two different styles of images together since that is a logic driven process. They can’t make those images from scratch, since that is an emotion driven process, since it is all about creating certain emotions in the viewer.
Imagine you were a chef trying to develop a new dish, but you were not allowed to taste the food at any point as you made it. Your ability to determine the correct amount of salt and other seasonings would be very crude and limited. There would always be the possibility of a disaster happening, since you could not add a bit of seasoning at a time and taste it, so you would have to just dump it all in at once. This is the same idea of an AI model that is trying to ultimately create emotional states using sophisticated logic, but without having any access to emotions to guide the process.
The results will always be very generic looking, with the occasional unexpected gruesome image being returned. The power of the logic I have seen in some of the images I have created is quite shocking, but the results are still crude and generic compared to what a human can do, since the AI model is trying to create emotional states without being able to actually feel emotions itself, which is vital to creating emotional states through an image (or text).
The AI models have an amazing ability to combine multiple types of images together into one, but they have no understanding of what the individual elements they are combining together truly are. Again, this is because the individual images are designed to create certain emotional states, and an AI model has no ability to feel emotions, meaning it has no ability to understand them.
Having said all that, there is a good chance that the ability of humans to customize AI generated images will keep going up, and this will allow for this tool to create highly creative works close to what a human could do from scratch after all. I don’t think that the AI models will ever be able to do this by themselves with a simple button push though, as I have made the case for above. Also, I would expect that the number of images that are generated with a button push will keep going up and up.
Now, does making good AI generated images take talent? I say the answer is yes simply because these images are not all equal in quality. To create the best image in a set of 1,000 to 100,000,000 images, and to do so consistently, takes skill. You need to learn something from every single image you create about what the AI model does well and does not do well. You also need creative and artistic skills to come up with really good text prompts, in addition to this. The skills involved in this are similar to the skills involved in coming up with a great line in text, like in books, poems, speeches, scripts, ect. This is like abstract art. I know from experience that randomly applying different colors of paint never yields anything impressive. It takes a lot of talent to make good abstract art. Random combinations of words in text prompts will never create the results that highly targeted ones will, when it comes to AI generated images.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
Echo Flex is an amazing device in contemporary times when the era is demanding smart home devices. These devices are very famous and popular for their features. These devices are making the lives easy of their users.
See my main account for my photography, videos, fractal images and more here: www.flickr.com/photos/josh-rokman/
This is one of a series of images I made with the Bing Image Creator, which is an AI image generator powered by DALL-E 3.
For most of these images I tried to combine multiple elements together into one, rather than creating a scene with multiple separate elements. This pushes the limits of what the AI model can do, and maximizes the amount of human control over the images. For example, I might use the text prompt ‘photo realistic snake plane made out of carbon fiber and gold’.
Here is my take on AI generated images vs. human made art: I think that the quality of AI generated images will NOT dramatically improve, even many years into the future. The ultimate goal of a creative image is to create a certain emotional state in the viewer. - Emotions themselves - are the main tool used to do this. A purely logic driven machine can only create a crude, generalized model of something meant to create a certain emotional state. When someone makes a piece of art, it is always some combination of using logic and emotions to guide the process. Remember that the ultimate goal is to create a certain emotional state in the viewer. Only having access to logic, but not emotions, will always create a very generic looking work. You need to actually be able to feel emotions to fine-tune the work beyond that, since creating emotions is the ultimate goal.
The main difference between an AI model and a human is not the difference in the power of the logic that can be deployed. The difference is that a human can feel emotions, which is key to creating an image (or text) made to create a certain emotional state. The logic that the best AI image generator models currently have seems to already be at the level of what the best human can do (based on some of the results I got, which was quite a shock). The results are still crude and generic compared to what a human can do, because the AI models have no access to emotions, which are the main tool for making and refining a creative work designed to create certain emotional states.
All creative work is built with a combination of logic and emotions (emotions should always be the main tool), and by not having direct access to emotions, a machine can only create crude, generic results. When I make music I always try and use emotions rather than logic to guide the process as much as possible, since creating a certain emotional state in the listener is the ultimate goal. The best AI models have an amazing ability to use logic to mix two different styles of images together since that is a logic driven process. They can’t make those images from scratch, since that is an emotion driven process, since it is all about creating certain emotions in the viewer.
Imagine you were a chef trying to develop a new dish, but you were not allowed to taste the food at any point as you made it. Your ability to determine the correct amount of salt and other seasonings would be very crude and limited. There would always be the possibility of a disaster happening, since you could not add a bit of seasoning at a time and taste it, so you would have to just dump it all in at once. This is the same idea of an AI model that is trying to ultimately create emotional states using sophisticated logic, but without having any access to emotions to guide the process.
The results will always be very generic looking, with the occasional unexpected gruesome image being returned. The power of the logic I have seen in some of the images I have created is quite shocking, but the results are still crude and generic compared to what a human can do, since the AI model is trying to create emotional states without being able to actually feel emotions itself, which is vital to creating emotional states through an image (or text).
The AI models have an amazing ability to combine multiple types of images together into one, but they have no understanding of what the individual elements they are combining together truly are. Again, this is because the individual images are designed to create certain emotional states, and an AI model has no ability to feel emotions, meaning it has no ability to understand them.
Having said all that, there is a good chance that the ability of humans to customize AI generated images will keep going up, and this will allow for this tool to create highly creative works close to what a human could do from scratch after all. I don’t think that the AI models will ever be able to do this by themselves with a simple button push though, as I have made the case for above. Also, I would expect that the number of images that are generated with a button push will keep going up and up.
Now, does making good AI generated images take talent? I say the answer is yes simply because these images are not all equal in quality. To create the best image in a set of 1,000 to 100,000,000 images, and to do so consistently, takes skill. You need to learn something from every single image you create about what the AI model does well and does not do well. You also need creative and artistic skills to come up with really good text prompts, in addition to this. The skills involved in this are similar to the skills involved in coming up with a great line in text, like in books, poems, speeches, scripts, ect. This is like abstract art. I know from experience that randomly applying different colors of paint never yields anything impressive. It takes a lot of talent to make good abstract art. Random combinations of words in text prompts will never create the results that highly targeted ones will, when it comes to AI generated images.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
#FALL2023 #tree #nature #October #November #Fall #Autumn #Automne #Autunno #Efterår #Herbst #Herfst #Höst #Høst #Jesen #Jesień #Mùathu #Musimgugur #Ősz #Otoño #Outono #Podzim #Rudens #Sonbahar #Sügis #Syksy #tagwâgi #Toamnă #Φθινόπωρο #Есен #Осень #خريف #ฤดูใบไม้ร่วง #가을 #秋 #秋天 #Hösten #Ruduo #Foghar #Autumnus #Sügise #Hostjé #Сонцекрас #Hösttiden #Güz #Охуран #Haaztsaastsoh #WiíiyayA #Thlak'wimpt #Misko #Autumn #AutumnAesthetic #AutumnAesthetics #AutumnArt #AutumnBeauty #AutumnChill #AutumnDays #AutumnDecor #AutumnEquinox #AutumnFeelings #AutumnFever #AutumnFoliage #AutumnHarvest #AutumnInspiration #AutumnJoy #AutumnLeaves #AutumnLifestyle #AutumnLove #AutumnMagic #AutumnMood #AutumnScenery #AutumnStyle #AutumnTime #AutumnVibes #AutumnWalks #AutumnWeather #AutumnWonderland #CozyAutumn #CozySeason #CrispDesigns #FallColors #FallFoliage #FallIllustration #FallPalette #FallVibes #FestiveGraphics #GoldenHourDesign #HarvestHues #Leaves #RusticInspiration #SweaterWeatherDesign #SweaterWeatherPalette #WarmTones #AI_MAIN #ArtificialIntelligence #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #BigData #Tech #Innovation #AIArtistry #ArtificialArt #MachineArt #AIgenerativeart #ArtificialVision #NeuralArt #Cyberart #SyntheticDesign #DigitalPainting #AlgorithmicPainting #GeneratedArt #RoboticDesign #AIinspiredart #ArtificialInspiration #DataVisualization #TechDesign #ArtificialExpression #ArtificialBeauty #ArtificialBrilliance #TheArtOfMachine #AIInnovationInArt #AiArt #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ArtificialCreativity #DigitalArt #GenerativeArt #TechArt #AIgenerated #SyntheticArt #CodeArt #DataArt #AlgorithmicArt #ArtificialImagination #TheArtofAI #AIandArt #AIinArt #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA #ILLUSTRATION #darluniad #illustrasjon #illustratie #illustrationi #illustratsioon #ilustração #ilustrace #ilustrācija #ilustración #ilustracja #ilustrasi #kuva #myndskreyting #paglalarawan #иллюстрация #চিত্রণ #插图
FuGenX Technologies is a global technology services company, offering world-class data analytics services for the world’s leading enterprises. With FuGenX’s big data analysis companies in Noida, Delhi and Hyderabad, India you can get insights into market trends, explore new markets, generate new revenue streams, and unearth hidden and unknown correlations.
Ministers’ Roundtable: Resilient Supply Chains: Tools for Policymakers event. Speakers include Abdulkadir Uraloğlu, Minister of Transport and Infrastructure, Türkiye; Andreas Carlson, Minister for Infrastructure and Housing, Sweden; Federico Baños-Lindner, Group Senior Vice President for Government Relations and Public Affairs, DP World; Harald Seidel, President, DAF Trucks & Chairman, Commercial Vehicle Board, ACEA; Ilkham Makhkamov, Minister of Transport, Uzbekistan; Jon-Ivar Nygård, Minister of Transport, Norway; Magda Kopczynska, Director-General for Mobility and Transport (DG MOVE), European Commission; Marius Skuodis, Minister of Transport and Communications, Lithuania; Pierre-Martin Huet, Senior Vice President Sustainability & Impact, Michelin; Piotr Malepszak, Undersecretary of State, Ministry of Infrastructure, Poland; Polly Trottenberg, Deputy Secretary of Transportation, United States; William Camargo, Minister of Transport, Colombia; Yang Li, Vice Minister of Transport, China.
With an objective of reimagining education through advanced AI services, InventtEd™ has overcome knowledge gaps in the traditional education system and ushered in a new wave of automation with smart content, virtual tutor, text summarization, automated essay grading, 24/7 access to learning and much more.
Are you looking to digitize your school & make teaching-learning a lifetime experience?
Visit our Website : - www.inventted.com
i was invited to emcee on dj zula warner's (one half of artificial intelligence) set, at this point i replaced the microphone with my camera. according to the local organizers this has been their best party in 2008 so far.
a dunaújvárosiak meghívtak mc-zni a londoni zula warner (artificial intelligence) szettjére, persze muszáj volt pár percre fényképezőre cserélnem a mikrofont. a szervezők szerint egyébként eddig ez volt 2008 legjobb bulija.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
Created using the 'Wombo dream' app which takes the given subject and uses AI to assemble a composite image. No creative effort from me.
Created using the 'Wombo dream' app which takes the given subject and uses AI to assemble a composite image. No creative effort from me.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
AI is radically altering the way we work. The technology is becoming good at multiple human jobs like providing improved customer services or predicting downtime and is transforming all sectors as we know.
Embrace AI and gain the full potential of the technology.
Award-winning photojournalist, Karim Ben Khelifa, is widely known for his coverage of the Middle East conflicts, especially the Iraq and Afghan wars, where he covered the insurgent sides. While a Fellow at the Open Documentary Lab at MIT, Ben Khelifa designed and prototyped his latest project The Enemy. This immersive installation uses VR to bring the audience into conversations between enemies within longstanding global conflicts. During his residency, he collaborated with Fox Harrell of the Imagination, Computation and Expression (ICE) Laboratory, to integrate concepts from cognitive science and Artificial Intelligence-based interaction models into the project to engender empathy.
palm length: 17cm 6.7''
leg length: 90cm 35.4''
shoulder breadth: 32cm 12.6''
oral depth: 12cm 4.7''
height: 170cm 5'7''
brand: AutomaticWoman
Created using the 'Wombo dream' app which takes the given subject and uses AI to assemble a composite image. No creative effort from me.
Visit our Blog: Non-IT to Data Science
Link: blogs.getexcelsior.com/blog/how-i-went-from-non-it-to-dat...
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You are looking at a perfect screen to know how to resolve Amazon Echo won’t connect to Wi-Fi. We will share the best steps with you that will definitely help you to overcome this problem as soon as possible.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
With computers making a breakthrough in every industry, one of the significant development is machine learning. The machine learning technology would be used for many years to come as a bridge between humans and computers.
Visit - iscistechsite.wordpress.com/2018/07/20/how-would-machine-...