Lifeboat Foundation

July, 2015; as you know.. was the all systems go for the CERNs Large Hadron Collider (LHC). On a Saturday evening, proton collisions resumed at the LHC and the experiments began collecting data once again. With the observation of the Higgs already in our back pocket — It was time to turn up the dial and push the LHC into double digit (TeV) energy levels. From a personal standpoint, I didn’t blink an eye hearing that large amounts of Data was being collected at every turn. BUT, I was quite surprised to learn at the ‘Amount’ being collected and processed each day — About One Petabyte.

Approximately 600 million times per second, particles collide within the (LHC). The digitized summary is recorded as a “collision event”. Physicists must then sift through the 30 petabytes or so of data produced annually to determine if the collisions have thrown up any interesting physics. Needless to say — The Hunt is On!

The Data Center processes about one Petabyte of data every day — the equivalent of around 210,000 DVDs. The center hosts 11,000 servers with 100,000 processor cores. Some 6000 changes in the database are performed every second.

Continue reading “Exotic Pentaquark Particle Discovery & CERN's Massive Data Center” »

Quoted: “Sometimes decentralization makes sense.

Filament is a startup that is taking two of the most overhyped ideas in the tech community—the block chain and the Internet of things—and applying them to the most boring problems the world has ever seen. Gathering data from farms, mines, oil platforms and other remote or highly secure places.

The combination could prove to be a powerful one because monitoring remote assets like oil wells or mining equipment is expensive whether you are using people driving around to manually check gear or trying to use sensitive electronic equipment and a pricey a satellite internet connection.

Instead Filament has built a rugged sensor package that it calls a Tap, and technology network that is the real secret sauce of the operation that allows its sensors to conduct business even when they aren’t actually connected to the internet. The company has attracted an array of investors who have put $5 million into the company, a graduate of the Techstars program. Bullpen Capital led the round with Verizon Ventures, Crosslink Capital, Samsung Ventures, Digital Currency Group, Haystack, Working Lab Capital, Techstars and others participating.

Continue reading “Blockchain for IoT? Yes!” »

“I am prepared to meet my Maker. Whether my Maker is prepared for the great ordeal of meeting me is another matter.” — Winston Churchill

Death still enjoys a steady paycheck, but being the Grim Reaper isn’t the cushy job that it used to be.

As everyone is pointing out, 2015 is a crucial year for sustainable development, with three critical international meetings in the calendar starting this month. But what role do science, technology and innovation play in these processes?

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One problem with wind power is that it’s expensive to build and hard to find the space. Problem solved.

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One of the most symbolic and substantively important examples of environmental conflict is over Yellowstone National Park. Yellowstone is the first national park in the world, and perhaps the most important natural treasure in the US. More recently it has become a site for bitter and long-lasting environmental conflict. And it has made me wonder how the scientific arguments around the issues sit with the emotional reactions inspired by the landscape and history.

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OK. In scientific terms, it is only a ‘hypothesis’ — the reverse of the ‘Disposable Soma’ theory of ageing. Here how it goes.

For the past several decades, the Disposable Soma theory of ageing has been enjoying good publicity and a lively interest from both academics and the public alike. It stands up to scientific scrutiny, makes conceptual sense and fits well within an evolutionary framework of ageing. The theory basically suggests that, due to energy resource constraints, there is a trade-off between somatic cell and germ cell repair. As a result, germ cells are being repaired effectively and so the survival of the species is assured, at a cost of individual somatic (bodily) ageing and death. To put it very simply, we are disposable, we age and die because all the effective repair mechanisms have been diverted to our germ cell DNA in order to guarantee the survival of our species.

The theory accounts for many repair pathways and mechanisms converging upon the germ cell, and also for many of those mechanisms being driven away from somatic cell repair just to ensure germ cell survival. In the past two or three years however, it is increasingly being realised that this process is not unidirectional (from soma to germ), but it is bi-directional: under certain circumstances, somatic cells may initiate damage that affects germ cells, and also that germ cells may initiate repairs that benefit somatic cells!

I can’t even begin to describe how important this bi-directionality is. Taking this in a wider and more speculative sense, it is, in fact, the basis for the cure of ageing. The discovery that germ cells can (or are forced to) relinquish their repair priorities, and that resources can then be re-allocated for somatic repairs instead, means that we may be able to avoid age-related damage (because this would be repaired with greater fidelity) and, at the same time, avoid overpopulation (as our now damaged genetic material would be unsuitable for reproduction).

Continue reading “The ‘Indispensable Soma’ theory of ageing” »

“It’s much easier to replicate experiments and catch fraud if you have access to the original data. Some journals currently reward researchers for sharing the data that they used in an experiment. In the highest level of this new framework, data sharing would not only become compulsory, but independent analysts would conduct the same tests on it as those reported by the researchers, to see whether they get the same results.” Read more

“If goodwill and curiosity aren’t motivating researchers to work with open-source data on their own, there is still something that probably will: human limitation. ‘We have tiny little brains. We can’t understand the big stuff anymore,’ said Paul Cohen, a DARPA program manager in the Information and Innovation Office. ‘Machines will read the literature, machines will build complicated models, because frankly we can’t.’ When all you have to do is let your algorithms loose on a trove of publicly available data, there won’t be any reason not to pull in everything that’s out there. ” Read more