Goto

Collaborating Authors

 big science


How big science failed to unlock the mysteries of the human brain

MIT Technology Review

In fact, a few years earlier, Henry Markram, a neuroscientist at the École Polytechnique Fédérale de Lausanne in Switzerland, had set an even loftier goal: to make a computer simulation of a living human brain. Markram wanted to build a fully digital, three-dimensional model at the resolution of the individual cell, tracing all of those cells' many connections. "We can do it within 10 years," he boasted during a 2009 TED talk. In January 2013, a few months before the American project was announced, the EU awarded Markram $1.3 billion to build his brain model. The US and EU projects sparked similar large-scale research efforts in countries including Japan, Australia, Canada, China, South Korea, and Israel.


Big Science Will Require a Big and Different Infrastructure - Business Value Exchange (BVEx)

#artificialintelligence

Evolution of the Internet over several past decades into a global interconnected web has changed entirely the technology landscape, social circumstances and market conditions. The overall effect is acceleration, amplification and automation. New companies emerged, growing so big and fast that they now dominate certain global markets. All this would be difficult to imagine without a global infrastructure fabric containing millions of servers in strategically placed data centers and serving billions of customers daily. Established corporations have been late in transforming their IT infrastructure in a similar fashion, which is the simplest explanation as to why cloud computing is making major inroads into markets today.


The Complexification of Engineering

Maldonado, Carlos Eduardo, Gómez-Cruz, Nelson Alfonso

arXiv.org Artificial Intelligence

This paper deals with the arrow of complexification of engineering. We claim that the complexification of engineering consists in (a) that shift throughout which engineering becomes a science; thus it ceases to be a (mere) praxis or profession; (b) becoming a science, engineering can be considered as one of the sciences of complexity. In reality, the complexification of engineering is the process by which engineering can be studied, achieved and understood in terms of knowledge, and not of goods and services any longer. Complex engineered systems and bio-inspired engineering are so far the two expressions of a complex engineering.