A full-fledged fashion show, complete with professional models and a runway, nabbed the attention of the scientific community in Toronto over the summer. Attendees at the World Congress on Industrial Biotechnology and Bioprocessing were treated to a fashion display that included garments from top designers, including Halston, Oscar de la Renta and Stephen Burrows. The occasion for a fashion runway at a technical conference was to show off the biodegradable Ingeo fabric, which is spun from polylactide, a biopolymer made from dextrose corn sugar.
The fashion show highlighted the diversity of bio-based products made with industrial biotechnology currently available to customers, including plastics, food ingredients and fuels. Brent Erickson, EVP of the biotechnology industry's Industrial Environmental Section, opened the fashion show saying, "From the streets to the runway, industrial biotechnology is beginning to transform the fashion industry." He went on to note, "We talk a lot about biofuels, but industrial biotechnology is really about much more than that."
Models show off clothing made with biodegradable fabrics at the recent World Congress on Industrial Biotechnology and Bioprocessing
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.