Posts Tagged ‘Science’

Data Science – learn the lessons of software

March 15th, 2012

We’re starting to see a deluge of companies who businesses are all about making data analysis/science/insight “easy for the non-expert”. We’ve been here before, quite a few times sadly. When I started writing software 12 years ago, there was great excitement in the air – finally we could use tools to design software, then press a button that would create our whole beautiful design in code! Then we could just hire some barely-sentient code monkeys to fill in the ‘easy bits’ like method definitions and those pesky database access routines.

It was a disaster. The fundamental problem was that by the time you’d crafted your beloved design and polished it to a high shine, the world had moved on. What may have worked on day 1 of the project was now hopelessly inadequate. We should always remember the maxim “no plan survives contact with the enemy”, the enemy here being the shifting reality of what your software needs to deliver.

Another major problem with this approach was the proliferation of so-called Software Architects, beings of such insight and experience that they didn’t even need to code anymore! Since they didn’t code, they couldn’t experience the grinding pain of trying to jam their grandiose designs into a reality-shaped hole.

Fast-forward to today – data is big, Data Science is even bigger (as a buzzword anyway), and we’re all short of the right people. The answer, however, is not to make tools that hide the complex, ever-shifting reality of the analytical process. It’s to make people better at doing this stuff. And there’ll be no magic off-the-shelf solution that can achieve this, any more than giving a terrible golfer great clubs will make them win The Masters.

Source:http://www.r-bloggers.com/data-science-learn-the-lessons-of-software/

FLIR Introduces ResearchIR Software

January 17th, 2012

FLIR Systems has announced the introduction of FLIR ResearchIR Software to enable R&D and Science professionals using thermal imaging systems to work more efficiently and productively.

Drawing upon FLIR’s extensive experience of thermal imaging cameras and applications – ResearchIR enables users to get the most out of their thermal imaging camera providing facility for high speed recording and advanced thermal pattern analysis. ResearchIR is the perfect tool for industrial R&D.M

Designed for efficiency and productivity – FLIR ResearchIR offers a wealth of easy-to-use features. These include viewing, recording and storage of images at high speed, post-processing of fast thermal events and generation of time-temperature plots from live images or recorded sequences. In addition the software includes facility to set-up advanced start/stop recording conditions, analyze data with an unlimited number of analysis functions, rapidly organize files, take a closer look at images with zoom and pan controls and set-up multiple user-configurable tabs for live images, recorded images or plotting.

For more advanced thermal analysis – FLIR has introduced FLIR ResearchIR Max. FLIR ResearchIR Max contains all the features or FLIR ResearchIR plus facilities for pre/post triggering, tools for mathematical processing and image filtering as well as radiometric Digital Detail Enhancement (DDE) and support for parallel recording using multiple cameras.

In combination with a FLIR thermal imaging camera – FLIR ResearchIR software provides the perfect solution for any R&D / Science application. It will allow researchers in all fields to make the smallest of temperature differences visible and to thoroughly analyze thermal process in real-time.

FLIR Systems is the world leader in the design and manufacturing of thermal imaging cameras for a wide variety of applications. It has over 50 years of experience and thousands of thermal imaging cameras currently in use worldwide for predictive maintenance, building inspections, research & development, security and surveillance, maritime, automotive and other night-vision applications. FLIR Systems has eight manufacturing plants located in the USA (Portland, Boston, Santa Barbara and Bozeman), Stockholm, Sweden, Talinn, Estonia and near Paris, France. It operates offices in Australia, Belgium, Brazil, China, Dubai, France, Germany, Hong Kong, Italy, Japan, Korea, the Netherlands, Russia, Spain, UK and the USA. The company has over 3,200 dedicated infrared specialists, and serves international markets through an international distributor network providing local sales and support functions.

Source:http://optics.org/products/P000019276

How Software is Harming Science, Engineering

August 30th, 2011

A recent column by Netscape co-founder, software entrepreneur, and noted Silicon Valley venture capitalist Marc Andreessen caused a stir in the tech community. Andreessen postulated that the software industry was “eating the world” and “poised to take over broad swathes of the economy.” This is delusional.

It’s a clear case of someone with a hammer – Andreessen developed software, ran software companies, and now invests in software companies – seeing everything as a nail. The irony is, software is hardly a hotbed of innovation.

While technology races ahead in many other fields, software has advanced but meagerly in the past 20 years. In terms of solving grand challenges, software has largely failed to deliver. Take the case of voice recognition. It’s much better than it was in areas like airlines’ reservation phone trees. But despite billions of research dollars no company has produced commercially available, affordable voice recognition software that can understand and transcribe, from voice to text, conversations involving multiple voices. Likewise, voice recognition software requires training to work well – it’s not speaker independent. Yes, an IBM (IBM) team did take on live Jeopardy! champions and beat them but the Herculean effort required to program a supercomputer to accomplish this just illustrates the enormous chasm that continues to exist between software and the solution of truly great challenges.

Compare this to advances in fields like DNA profiling and decoding. Over the course of a mere two decades, the ability to sequence or perform tests on DNA has become orders of magnitude cheaper – even to the point that sub-$100 DNA testing services will likely emerge within the next three years. Or how about the field of 3D printers, a mind-bending class of devices that fabricate 3-dimensional objects and even devices with moving parts. It can do this in a matter of minutes by layering precise patterns of materials painstakingly and accurately, with the help of software and smart computers (note: software plays a supporting role here!). In the race to innovate and serve the developing world, companies like General Electric (GE) are developing medical imaging technologies that cost 1/10th or 1/20th the price of comparable devices sold in the U.S.

Yes, software has made some limited progress in key areas. Search engines have had a material impact on the world. Some types of enterprise software have made a huge difference in business efficiency. But I’m hard-pressed to think of any other software-based product that has enabled revolutionary changes in society due to the innovative nature of the product and not to the innovative way people use the product. And, of course, Andreessen does give a nod to the other enablers of the growth of software such as cheap Internet-ready devices, the global telecommunications grid, and the microprocessor.

Andreessen’s portfolio of companies includes many that are highly touted but thoroughly unoriginal. Twitter is, basically, another way to do SMS using the Internet. Facebook is Friendster 3.0 hacked up by some kids in a door room that has enjoyed good timing and deployed excellent UI. And then there’s Groupon, an enterprise that has achieved a single feat of innovation – creating dubious new accounting terminology to justify inflated IPO valuations.

In fact, I’ll make a bold statement: I believe that software is draining talent needed in other areas of science and engineering. Smart kids in college major in computer science rather than mechanical engineering because that’s where the money is. Yet some smart kid coding social games for Zynga serves very little societal purpose – particularly when that same kid could have instead decided to build innovative low-cost drip irrigation systems to serve famers in the developing world where irregular irrigation, dwindling water supplies, and poor infrastructure are a crushing trifecta.

The last thing we need is a world consumed by software, Marc. Please invest in more startups that seek to change the world in a meaningful way, and not just to make a mint in social media and useless software companies.

Source:http://www.businessweek.com/technology/how-software-is-harming-science-engineering-08252011.html?chan=rss_topEmailedStories_ssi_5

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