View allAll Photos Tagged artificialintelligence
Tools from the field of Artificial Intelligence and Data Science accelerate truth-finding missions along the typical dimensions: Who, When, Where, Why, What, How and How Much. Techniques like machine learning, clustering and information extraction have drastically increased the speed and improved the quality of the eDiscovery process.
In this first of a series of two very practical webinars, Johannes Scholtes will illustrate how these techniques help eDiscovery professionals.
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 : - www.inventted.com
email : - info@inventted.com
We are pleased to announce that Intense Technologies has been named in Gartner Market Guide as one of the Representative Vendors of the Customer Communications Management market. Read More.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
USM Business Systems is one of the reputed AI development companies USA. USM provides services in retail, banking and finance, e-commerce, health care, marketing and sales, telecommunication. USM is also provide artificial intelligence applications USA.
created in NIGHTCAFE - Juggernaut XL v7
The seed image for this is an old painting of mine from 1975. I like the way the various SDXL modes interpret it. Some directly from the seed, others duplicated or evolved from results, with slight variations in noise.
The prompt is my often used 'generic' standby, describing my painting style.
PROMPT:
detailed (painting by artist Otto Rapp 1.5) at the Cryptid Taxidermy Museum in post apocalyptic Wonderland, in heaven everything is fine by lady in the radiator and brothers quay, design by Max Ernst, by H.R. Giger, by Giuseppe Arcimboldo, Hieronymus Bosch, Alphonse Mucha, intricately detailed, hyperrealism, fantasy, Bogomils Universe, imperial colors
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
Una colección de obra creadas con inteligencia artificial, cada pieza combina conceptos imaginativos con detalles intrincados y colores vibrantes, reflejando una fusión única de tecnología y visión artística.
A collection of artworks created with artificial intelligence, each piece blending imaginative concepts with intricate details and vibrant colors, reflecting a unique fusion of technology and artistic vision.
#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
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
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
Lee Jae Myung, President of the Republic of Korea and President of the Security Council for the month of September, briefs reporters ahead of the Security Council High-Level Open Debate on Artificial Intelligence (AI).
UN Photo/Mark Garten
24 September 2025
New York, United States of America
Photo # UN71119143
neck: 26cm 10.2''
under bust: 58cm 22.8''
vaginal depth: 16cm 6.3''
weight: 43kg 94.8lb
oral depth: 12cm 4.7''
brand: AutomaticWoman
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
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
Opening Plenary
Plenary Hall
Melissa Lott, Sally Davies, Stuart Russell, Saadia Zahidi
at the Annual Meeting of the Global Future Councils 2023 in Dubai, United Arab Emirates
Monday, 16 October 2023
Madinat Jumeirah Conference Centre
©: World Economic Forum / Deepu Das
USM Business Systems is a reputed top automation company USA. Our major automation offerings are Business Process Automation, Business Management Solutions, Enterprise Content Management, Big Data Analytics. USM is one of the best automation companies in Dallas, Texas, USA.
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.
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.
27th February 2020
OECD Science,Technology and Innovation Directorate. (STI); AI Policy Observatory Launch.
OECD ,Paris, France
Photos OECD/ Michael Dean
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
Secretary-General António Guterres (at podium) briefs reporters on the launch of his High-Level Advisory Body on Artificial Intelligence (AI).
The Advisory Body "will make preliminary recommendations in three areas by the end of this year: the international governance of artificial intelligence; a shared understanding of risks and challenges; and key opportunities and enablers, to leverage AI to accelerate the delivery of the SDGs," said the Secretary-General.
UN Photo/Eskinder Debebe
26 October 2023
New York, United States of America
Photo # UN71008647
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.