Any new arrival on the technical graphics scene is going to have its initial successes with those who are not already committed to investment in existing tools so, while I would recommend MagicPlot to many established users, I will concentrate her
Reviews
25 March 2013
This review is made on the basis of several months’ experience with late public beta versions of release 10, which have proved solid enough, although some components of the final feature set are not yet in place.
05 February 2013
It probably needs no explanation, these days, but ‘X6’ means that this is the 16th release of EndNote, a program which I’ve been reviewing since release 4.
14 December 2012
After an initial lockstep phase in which MapleSim upgrades were closely tied to those for Maple, release 6 was held back and appeared shortly after Maple 16.
28 September 2011
Software publishers vary in their approach to version numbering and frequency of issue. Some only issue major, full digit upgrades, and then at longish intervals.
06 September 2011
Since Unscrambler last passed this way, then in version 9, its Norwegian publisher Camo Software has launched a 'new generation' image.
05 July 2011
Having gone all out, over several releases, to develop a graphically ‘pencil and paper’ face for its CAS, Maple now has a polished smart worksheet interface which no longer changes in obvious ways between versions.
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Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
