- Synthetic Biology Faculty position
- SynBio2010 course in Synthetic Biology at Cambridge
- Synthetic Biology worth $4.5B by 2015
- Naked Scientist interview
- Royal Society: Future Technologies
- 2nd-generation GM traits
- NYT article about iGEM2009
- Synthetic Biology at the Wellcome Trust
- Giant Plant Cells
- Glass microbiology
- Endnote X3
- LEGO-sized hole punch
- Glowing Toyama Squid USB Memory Stick
- Green Pins
- Bacterial rainbow
- Synthetic operon for violacein production
- Cambridge team wins Grand Prize for iGEM2009
- The scatalog: E. chromi, pigment and poo
- Grand Prize for Cambridge iGEM2009 team
- Cambridge presentation at the iGEM2009 Jamboree
- Wellcome Trust iGEM2010 studentships
- Cambridge iGEM2009 team
- Synthetic Biology Project
- The iGEM Project
- RS Interface SynBio issue
- steam-powered dragon tin toy
- Magcloud: On Demand Magazine Printing
- RAE Synthetic Biology Report 2009
- Arduino Mega
- Phytocomp
- Computational Biology at Microsoft Research in Cambridge
- Open source hardware 2008
- www.synbio.org.uk news feeds
- Cambridge Network News
- iGEM 2008: Novice Bioengineers
- Plastic Logic e-Reader
- High Speed Photography using the Arduino
- Visitor's Guide to Cambridge
- Graduate Studies at Cambridge
- Emergence: a foundation for Synthetic Biology in Europe
- Bacillus Standards Working Group Meeting 1
- SynBioStandards UK Network in Synthetic Biology
- NumberKey turns your iPhone into a numeric Keypad
- Toast Bandages
- Soap Grenade
- Swiss Chocolate Knife
- Papercraft Turkey Dinner
- Miracle Fruit Tablets
- Wilting flower dies as your energy use blooms
- tikitag: RFID for the masses
- Predatory bacterial swarm uses rippling motion to reach prey
- Leonard et al Engineering microbes
- CatCam
- KAUST-Cambridge AEA
- iGEM2008 Jamboree
- Optical microscopy techniques for plants
- Computer modeling of plant morphogenesis
- Image Analysis of Cells
- Teaching materials from the University of Cambridge
- Scientific Computing in Cambridge
- Cheaposcope
- Gallery of Plant Images
- BioBrick vectors for Bacillus subtilis
- Tools for Arabidopsis
- Coleocheate as a model system
- Superfolder GFP
- IET Synthetic Biology
- Synthetic Biology in Plants
- Plant Visions exhibition
- iGEM2008 overview
- iGEM2009 studentships
- iGEM competition
- MIT Parts Registry
- An automated home-built low-cost fermenter suitable for large-scale bacterial expression of proteins in Escherichia coli.
- 90 billion tons of microbial organisms live in the deep biosphere
- Tesla 10 series
- The impact of online publishing
- The Moore's Law of microbiology - towards bacterial culture miniaturization with the micro-Petri chip.
- Moo does full-size business cards
- Handpresso - Portable Precise Espresso On the Go or at Home
- Book Darts
- Pinwheel and old VCR used to make wind-powered LED
- Firewinder LED windmill, for the eco-friendly barbershop
Nvidia Tesla 10 series
This year at the International Supercomputing Conference, Nvidia, a leader in GPU technologies, introduced its second-generation platform, the Tesla 10 series computing solutions. Binary compatible and supporting the industry standard language of C, the new products enable developers to solve their computational challenges in a common and familiar development environment that moves easily from one generation to the next with no re-coding required.
The Tesla product family includes the Tesla S1070 1U computing system and the Tesla C1060 computing processor and delivers:
Up to 4 Teraflops per 1U system;
IEEE 754 arithmetic support;
16 Gigabytes of memory per 1U system; and
A highly efficient computing environment
When combined with the CUDA C-language development software for parallel computing, the new Tesla products extend the reach of GPUs to any computationally intensive applications requiring double precision accuracy. To date, over 70 million CUDA enabled GPUs have been sold into the market and over 60,000 downloads of the C-compiler have been recorded through the community website. As a result, developers across a wide variety of fields including financial analysis, astrophysics and seismic imaging are using Nvidia's CUDA development tools. These developers can exploit the GPU's parallel computing architecture to automatically distribute computing work to hundreds of processor cores.