Archive for the ‘Scientific Computing’ Category
Scientific computing ready cloud service
A new cloud service provider PiCloud is in town. PiCloud’s cloud-computing platform is a Python centric service which can be accessed by importing PiCloud’s cloud library in your Python scripts. User can leverage the power of the cloud in 3 [...]
Probability processing explained
According to a press release from MIT spin-out Lyric Semiconductor, a new processor which uses probability values between 0 and 1 instead of digital 1s and 0s will be available in market in next 12 months. Data is represented as [...]
Evloving computing definitions and realms
Melanie Swan has written an interesting piece about Expanding notion of Computing on her blog Broader Perspective. In response to the question how computing definitions and realms are evolving, she writes the traditional linear Von Neumann model is being extended [...]
LIMS rules in Forensic laboratories too
Latest issues of Scientific Computing World features story on How LIMS bring order to forensic sciences. Greg Blackman reports on the importance of LIMS in forensic laboratories particularly about automation and data management. Citing an example from of Brazilian TAM [...]
Douglas Lenat review on Wolfram Alpha Demo
Well I had a chance to read the demo review of Wolfram Alpha on Cycorp’s Blog (I guess it was written by Douglas Lenat) and without making sensational conclusion I will say that first impression is quite sound and justify [...]
We R Parallelizing
R is one of the highly used programming language for statistical computing in biology, particularly in area of bioinformatics where Bioconductor framework has been used to solve heterogeneous problems ranging from microarray data analysis to genome annotation. R is open [...]
