View allAll Photos Tagged neuralnetwork
The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008
This room is The Zone, at the FedEx Institute of Technology, University of Memphis.
1. FedEx Institute of Technology, University of Memphis, 2. Panel Discussion Technical Session I: Overview of AGI Research, 3. Speakers view at The First Conference on Artificial General Intelligence (AGI-08), 4. Panel for Architecture of AGI Systems, 5. Panel Technical Session # 3: Language and Cognition, 6. Audience Interaction with Panel Technical Session # 3: Language and Cognition, 7. Panel for Technical Session # 4 : Reasoning, 8. Audience Interaction Technical Session # 4 : Reasoning, 9. Panel for Technical Session # 5: Learning, 10. Asking a Question at AGI-08 Conference, 11. Panel for Technical Session # 6: Virtually Embodied AI, 12. Dave Baldwin asks a question, 13. Should there be an AGI organization?, 14. Matthew Ikle asking a tough question during Artificial General Intelligence (AGI) Renaissance Discussion, 15. Panel for Technical Session # 7: Neural Network and Brain Modeling
mosaic_panel_agi08_1
The China-Brain Project: Building China's Artificial Brain Using An Evolved Neural Net Module Approach by Hugo de Garis , Tang Jian Yu, Huang Zhiyong, Bai Lu, Chen Cong, Chen Shuo, Guo Junfei, Tan Xianjin, Tian Hao, Tian Xiaohan, Wu Xianjian, Xiong Ye, Yu Xiangqian, Huang Di of The International School of Software at Wuhan University (This work is being funded in the future by Xiamen University, 2008-11)
Summary:
Neuroscience , Artificial General Intelligence, Cognitive science and ethological (animal behavior) models are the source of inspiration for artificial brains . If enough groups start, a research community can be formed. Eventually, Moore's Law implies that multi-module neural networks be be necessary. Multi-module Neural network evolution is a challenging new research field.
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
I030308 031
Tsvi Achler presents Recurrent Feedback Neuronal Networks: Classification and Inference Based on Network Structure by Tsvi Achler and Eyal Amir from Department of Computer Science, University of Illinois at Urbana Champaign
The main points in this introductory slide were that Artificial General Intelligence has an ability to generalize and that it is necessary to avoid combinatorial explosion.
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
I030308 015
Panel for Technical Session # 7: Neural Network and Brain Modeling
Simon Levy , Ben Goertzel , Hugo de Garis, Tsvi Achler
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
I030308 056
Tsvi Achler presents Recurrent Feedback Neuronal Networks: Classification and Inference Based on Network Structure by Tsvi Achler and Eyal Amir from Department of Computer Science, University of Illinois at Urbana Champaign
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
I030308 016
Ben Goertzel presents How Might Probabilistic Reasoning Emerge from the Brain? Ben Goertzel and Cassio Pennachin of Novamente
The topic of this talk, along with an earlier talk by Matthew Ikle Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach will likely be covered in much more detail in a forthcoming (July, 2008) book Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference by Ben Goertzel, Matthew Ikle , Izabela Lyon Freire Goertzel, and Ari Heljakka
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
I030308 037
‘The nervous system is composed of a network of neurons and other supportive cells (such as glial cells). Neurons form functional circuits, each responsible for specific tasks to the behaviors at the organism level.’ [Wikipedia/Neuroscience]
Hooded Sweatshirt, Sweatshirt, Long Sleeve T-shirt, T-shirt, Sleeveless T-shirt.
Go to online store: www.printfection.com/brainfood-clothing
"Its all gone even more bendy" - Virtual Art Intervention.
(Wide Angle, multipass [DD] processing, etc)
A team led by Duygu Kuzum's lab has developed a neuroinspired hardware-software co-design approach that could make neural network training more energy-efficient and faster. Their work could one day make it possible to train neural networks on low-power devices such as smartphones, laptops and embedded devices.
Full story: jacobsschool.ucsd.edu/news/news_releases/release.sfe?id=2692
Photo credit: David Baillot/UC San Diego Jacobs School of Engineering
Are you looking for AI personal assistant who schedules meetings for you? Meet Sally is an AI personal assistant for your busy life. Sally acts as your Personal Assistant; it schedules your meetings and gives you your calendar preferences. Get one today! For more information contact us at 800-446-2898 or visit our website here meetsally.ai/
#aipersonalassistant #personalassistantpoweredbyai #personalassistant
In Creative (Artificial) Intelligence, artist and key researcher Ali Nikrang explores the latest research on artificial intelligence and creativity by asking the question, "Can machines create?". This third episode from the Anniversary Series will be broadcast on June 4 at 6 p.m. on the occasion of the 25th anniversary of the Ars Electronica Futurelab via Ars Electronica Home Delivery. It comments on a controversially discussed hype and examines the methods of creative collaboration between humans and machines.
Ali Nikrang illuminates the creative potential of algorithms and reveals surprising possibilities for constructive collaboration with the user. He explains important basics from the field of artificial intelligence: What A Ghost Dreams Of is an AI that generates deep fakes from images of museum visitors that are indistinguishable from real portraits. The language model GPT-2 (OpenAI) also uses the creativity of an artificial intelligence to create text with credible content.
However, using his AI-based music composition system Ricercar, the MuseNet composition Mahler Unfinished, and Sounding Letters – an AI that translates letters into a musical composition – Ali Nikrang demonstrates that it is still human creativity that differentiates analog from digitally generated work.
Photo:
Denise Hirtenfelder
Credits:
What a ghost dreams of – h.o.
AI System: John Brumley
Surveillance Application: Hiroshi Chigira
Technical Direction: Hiroshi Chigira, John Brumley, Taizo Zushi
Art Direction, Concept: Hideaki Ogawa, John Brumley, Hiroshi
Chigira, Emiko Ogawa, Taizo Zushi
Eye Blinks Editing / Directing: Martina Sochor
Eye Blinks Cinematography: Jonatan Salgado Romero
Eye Blinks Model: Andressa Miyazato
Photography: Florian Voggeneder
Face Photo Booth: Ali Nikrang
This project utilizes the AI algorithm StyleGAN (Karras et al. 2018)
About h.o: www.howeb.org/about
ars.electronica.art/center/de/what-a-ghost-dreams-of/
GPT-2: Sprachfelder
Ars Electronica Futurelab: Florian Berger, Ali Nikrang
GPT-2 (Alec Radford et al. 2019)
Mahler-Unfinished
Orchestra: Bruckner Orchestra Linz, principal conductor: Markus Poschner
Artificial Intelligence: MuseNet by OpenAI, Christine M. Payne
Ars Electronica Futurelab: Ali Nikrang, Peter Freudling, Stefan Mittlböck, Roland Aigner
Live Visualizations: Akiko Nakayama
ars.electronica.art/futurelab/de/projects-mahler-unfinished/
Ricercar & Sounding Letters
Ali Nikrang
In Creative (Artificial) Intelligence, artist and key researcher Ali Nikrang explores the latest research on artificial intelligence and creativity by asking the question, "Can machines create?". This third episode from the Anniversary Series will be broadcast on June 4 at 6 p.m. on the occasion of the 25th anniversary of the Ars Electronica Futurelab via Ars Electronica Home Delivery. It comments on a controversially discussed hype and examines the methods of creative collaboration between humans and machines.
Ali Nikrang illuminates the creative potential of algorithms and reveals surprising possibilities for constructive collaboration with the user. He explains important basics from the field of artificial intelligence: What A Ghost Dreams Of is an AI that generates deep fakes from images of museum visitors that are indistinguishable from real portraits. The language model GPT-2 (OpenAI) also uses the creativity of an artificial intelligence to create text with credible content.
However, using his AI-based music composition system Ricercar, the MuseNet composition Mahler Unfinished, and Sounding Letters – an AI that translates letters into a musical composition – Ali Nikrang demonstrates that it is still human creativity that differentiates analog from digitally generated work.
Photo showing: Ali Nikrang
Photo:
Denise Hirtenfelder
Credits:
What a ghost dreams of – h.o.
AI System: John Brumley
Surveillance Application: Hiroshi Chigira
Technical Direction: Hiroshi Chigira, John Brumley, Taizo Zushi
Art Direction, Concept: Hideaki Ogawa, John Brumley, Hiroshi
Chigira, Emiko Ogawa, Taizo Zushi
Eye Blinks Editing / Directing: Martina Sochor
Eye Blinks Cinematography: Jonatan Salgado Romero
Eye Blinks Model: Andressa Miyazato
Photography: Florian Voggeneder
Face Photo Booth: Ali Nikrang
This project utilizes the AI algorithm StyleGAN (Karras et al. 2018)
About h.o: www.howeb.org/about
ars.electronica.art/center/de/what-a-ghost-dreams-of/
GPT-2: Sprachfelder
Ars Electronica Futurelab: Florian Berger, Ali Nikrang
GPT-2 (Alec Radford et al. 2019)
Mahler-Unfinished
Orchestra: Bruckner Orchestra Linz, principal conductor: Markus Poschner
Artificial Intelligence: MuseNet by OpenAI, Christine M. Payne
Ars Electronica Futurelab: Ali Nikrang, Peter Freudling, Stefan Mittlböck, Roland Aigner
Live Visualizations: Akiko Nakayama
ars.electronica.art/futurelab/de/projects-mahler-unfinished/
Ricercar & Sounding Letters
Ali Nikrang
In Creative (Artificial) Intelligence, artist and key researcher Ali Nikrang explores the latest research on artificial intelligence and creativity by asking the question, "Can machines create?". This third episode from the Anniversary Series will be broadcast on June 4 at 6 p.m. on the occasion of the 25th anniversary of the Ars Electronica Futurelab via Ars Electronica Home Delivery. It comments on a controversially discussed hype and examines the methods of creative collaboration between humans and machines.
Ali Nikrang illuminates the creative potential of algorithms and reveals surprising possibilities for constructive collaboration with the user. He explains important basics from the field of artificial intelligence: What A Ghost Dreams Of is an AI that generates deep fakes from images of museum visitors that are indistinguishable from real portraits. The language model GPT-2 (OpenAI) also uses the creativity of an artificial intelligence to create text with credible content.
However, using his AI-based music composition system Ricercar, the MuseNet composition Mahler Unfinished, and Sounding Letters – an AI that translates letters into a musical composition – Ali Nikrang demonstrates that it is still human creativity that differentiates analog from digitally generated work.
Photo showing: Ali Nikrang
Photo:
Denise Hirtenfelder
Credits:
What a ghost dreams of – h.o.
AI System: John Brumley
Surveillance Application: Hiroshi Chigira
Technical Direction: Hiroshi Chigira, John Brumley, Taizo Zushi
Art Direction, Concept: Hideaki Ogawa, John Brumley, Hiroshi
Chigira, Emiko Ogawa, Taizo Zushi
Eye Blinks Editing / Directing: Martina Sochor
Eye Blinks Cinematography: Jonatan Salgado Romero
Eye Blinks Model: Andressa Miyazato
Photography: Florian Voggeneder
Face Photo Booth: Ali Nikrang
This project utilizes the AI algorithm StyleGAN (Karras et al. 2018)
About h.o: www.howeb.org/about
ars.electronica.art/center/de/what-a-ghost-dreams-of/
GPT-2: Sprachfelder
Ars Electronica Futurelab: Florian Berger, Ali Nikrang
GPT-2 (Alec Radford et al. 2019)
Mahler-Unfinished
Orchestra: Bruckner Orchestra Linz, principal conductor: Markus Poschner
Artificial Intelligence: MuseNet by OpenAI, Christine M. Payne
Ars Electronica Futurelab: Ali Nikrang, Peter Freudling, Stefan Mittlböck, Roland Aigner
Live Visualizations: Akiko Nakayama
ars.electronica.art/futurelab/de/projects-mahler-unfinished/
Ricercar & Sounding Letters
Ali Nikrang
The neural optic: a testament to the fusion of organic and artificial intelligence. Duncan.co/deep-tech-mafia-upgraded-vision