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Ushuaia Adventure: Journey to the End of the World
This collection serves as a visual odyssey through the rugged and ethereal landscapes of Tierra del Fuego and the Antarctic surroundings. The series captures the dual nature of exploration: the intimate, gritty details of the journey and the overwhelming scale of the southern wilderness.
From the solitary trekker overlooking the Beagle Channel to the iconic red and white Les Éclaireurs Lighthouse standing guard against the crashing waves, each frame tells a story of resilience and awe. The narrative transitions from the luxury of an expedition cruise ship navigating through ice-filled waters to the raw reality of a king crab fisherman at work in the freezing rain.
Witness the local inhabitants—Gentoo penguins huddled on pebble shores—and the quiet, frosty details of the native flora. The journey is punctuated by the warmth of a high-altitude camp at dawn and the nostalgic view from the "End of the World" train. This set is a tribute to the spirit of adventure, where nature remains the ultimate protagonist, untamed and magnificent.
These images have been generated by Artificial Intelligence.
Technical Session # 7 : Neural Network and Brain Modeling
The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008
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
1. AI -> AGI,
2. [Recurrent Feedback Neuronal Networks] Avoids Combinatorial Complexity via Simple Connectivity,
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)
3. Neural Net Accelerator Board for China's Artificial Brain,
4. Multi-module neural network evolution is a challenging new research field.,
How Might Probabilistic Reasoning Emerge from the Brain? Ben Goertzel and Cassio Pennachin of Novamente
5. How Might Probabilistic Reasoning Emerge from the Brain?,
Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence by Simon Levy of Washington and Lee University and Ross Gayler
6. The Need for New Representational Principles
mosaic_NN_brain_agi08
Ushuaia Adventure: Journey to the End of the World
This collection serves as a visual odyssey through the rugged and ethereal landscapes of Tierra del Fuego and the Antarctic surroundings. The series captures the dual nature of exploration: the intimate, gritty details of the journey and the overwhelming scale of the southern wilderness.
From the solitary trekker overlooking the Beagle Channel to the iconic red and white Les Éclaireurs Lighthouse standing guard against the crashing waves, each frame tells a story of resilience and awe. The narrative transitions from the luxury of an expedition cruise ship navigating through ice-filled waters to the raw reality of a king crab fisherman at work in the freezing rain.
Witness the local inhabitants—Gentoo penguins huddled on pebble shores—and the quiet, frosty details of the native flora. The journey is punctuated by the warmth of a high-altitude camp at dawn and the nostalgic view from the "End of the World" train. This set is a tribute to the spirit of adventure, where nature remains the ultimate protagonist, untamed and magnificent.
These images have been generated by Artificial Intelligence.
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)
Here is the basic idea:
The artificial brain will consist of up to 15,000 Neural network circuit modules that are evolved in a Celoxica Field-programmable gate array (FPGA) accelerator board. Each Neural network module is downloaded to a PC. Human brain architects specify the intereconnections between the Neural network modules to build an artificial brain (A-brain)
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
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