Monthly Archives: December 2012

Brain to Computer interface technology. In the future, will we use our brains to control most consumer devices?*

In the future, will we use our brains to control most consumer devices?*

Thanks to emerging Brain-to-Computer interface technology we might soon control our computers using only the power of our mind (*insert the “Twilight Zone” theme music)

Although it’s been said before, the phrase “we are entering into a new age” has never been more applicable than right now, as far as technology is concerned anyway. Over the course of the last few years the intense research that was done in the field of neural / cerebral / brain – computer interfacing is starting to pay off…big time. For the first time ever we can actually say that devices do in fact exist which allow human beings to control machines using only the power of their thoughts.

Understandably, this development has created something of a panic among certain groups. Certainly the technology could be used for any range of nefarious purposes, but this doesn’t really help us use it in any useful way does it? Before we begin dreaming up the next generation of sci-fi horror screenplay ideas, let’s examine how these amazing interface devices might very well change the way we interact with most consumer devices in the very near future.

First off, the costs associated with developing brain – computer interface devices for the average consumer are dropping. This is to say that it is becoming increasingly affordable to not only deliver this amazing new tech to the world’s population. In fact, it may soon become so commonplace that device manufacturers and designers will begin integrating compatibility features for brain interface headsets.  It makes sense; after all, isn’t this what happens with nearly all consumer gadgets? A great example of this type of scenario is the Bluetooth headset, how long did it take after its emergence for every single phone manufacturer to integrate compatibility for those devices?  The question is why would a “brain – computer interface headset” (that is non-invasive and works extremely well) be any different?

The truth is, this technology is currently at a level which allows the average human being to control digital objects using only the power of their thoughts without much effort. In other words, it’s not as if any special training is required, so the only foreboding elements to contend with are manufacturing costs and marketing. Given this reality, it’s entirely safe to assume that some large corporation (which might end up being Microsoft, Apple, Google, etc…) will dish out the big bucks for working patents or designs which might allow them to cheaply mass-produce these types of devices.

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Secondly, there are a number of companies jumping on board with this technology, each with their own aims. This is not only going to spur competition in many different areas and directions, but it will also greatly expand the overall list of potential uses for this emerging tech. Moreover, it is extremely likely that many positive uses for brain – computer interface headsets will pop up in various fields. The use of such technology has incredible potential applications in the field of medicine for example, and may allow surgeons to eventually perform amazing work on very microscopic levels (in a routine-like fashion).  Although this is a bit of a stretch and perhaps very “futuristic”, imagine doctors being able to use neural interfaces to control nanomachines for use in rebuilding detached nerves, repairing damaged brain tissue, or perhaps repairing bodily organs.  

Additionally, if this technology takes hold in a major way (it might be more apt to say “when” instead of “if”) it’s probably going to have a sizable effect on application/software design as well as your average OS. Although people aren’t readily discussing this subject much at this point, brain – computer interface technology will likely herald in an entirely new approach to computing. Most of us often forget that our mice, keyboards, touch screens, and other typical control devices were developed in response to biological needs and limitations. The thing is, this new technology completely removes any and all biologically based barriers when it comes to actually controlling software and hardware. The bottom line is that this will certainly have a marked effect on all basic software design (assuming that the technology itself takes hold in a fairly significant way). Brain to Computer interface technology

From an outward perspective, the adoption of brain – computer interface headsets look more like an eventuality as opposed to an alternative. Consumers as well as businesses have an insatiable appetite for new, useful and exciting forms of technology and both groups will undoubtedly go on to apply it in ways that we could only dream about. The world seems poised for a large-scare adoption of this technology, and it is starting to seem more like an eventuality with each passing day. If this happens, we should also expect the overall speed of data aggregation to increase as well, which will create a range of additional effects on the technology and IT sectors.  

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IBM’s Big Data Platform is fusing Hadoop with the Relational Database approach (among other things…)

IBM’s Big Data Platform is fusing Hadoop with the Relational Database approach (among other things…)

 

Well, we might have just encountered a significant leap forward with IBM’s latest barrage of BIG data solutions. Instead of attacking the big problems of BIG data with somewhat segregated solutions, IBM has instead opted to combine several approaches at once with their new offerings. IBM’s BIG data platform now includes not only a Hadoop approach, but also other interesting analytical tools (each having their own specific uses, of course).

Under the infosphere department heading on the IBM site there is something called “Hive”. Basically, Hive is a Hadoop-laden approach which is designed for those who understand SQL. What makes Hive different however is that it is able to conduct traditional relational database tasks as well as those problems more suited toward Hadoop. Large scale data quandaries tend to gravitate toward Hadoop you see, while other types of relational data (or, data which features parts which are interrelated in various ways) are best organized with something like an RDMS.

One of the most interesting recent developments is “InfoSphere Streams”, which is not only a high-volume data analysis tool, but also one that is supposed to work in real-time. This is going to be a dynamite product for companies who are heavily invested in IT technology and perhaps work in fields where ever-increasing speeds are a top priority (think financial firms and algorithmic trading).

IBM’s BigInsights platform is not only utilizing Hadoop in a more complete way, it is also bringing a coterie of additional tools to the forefront. As previously mentioned, SQL-based relational database technology is prominently featured with BigInsights, but the fun doesn’t end there. Several new analytical tools (accelerators) are making their way into the platform; for example, “BigSheets”, which is a data-exploration interface is being leveraged to apply analysis to various types of social media (Facebook and Twitter mostly). The of course there’s “Data Explorer”, which is poised to offer nearly automated means of scanning multiple types/sources of data.

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In what might be the most exciting news emerging from IBM with regards to BIG data, “SmartCloud(IBM’s premier cloud service) is adding “analytic answers” to its list of tools. What this allows businesses to do is leverage the power of cloud computing along with some very refined analysis methods (which are more-or-less prepackaged). Likewise, because we’re talking about cloud services here, the costs associated with conducting in-depth analysis through various channels will undoubtedly be much more affordable than certain alternatives. But we’re not simply talking about post-analysis here; no, analytic answers is being applied to predictive analysis as well, which adds yet another layer of possibilities to the mix, doesn’t it?

Then of course we have “Unica”, which IBM recently acquired. In a nutshell, Unica can be either a cloud service or a software deployment, and it’s designed to assist in data analysis and aggregation. But what’s really interesting is how Unica is being used in IBM’s “Big Data Solution for CMO’s”. These new types of offerings are bringing the idea of a more readily useable form of BIG data analysis service to the forefront as opposed to those which require heavy configuration.

It seems that most large organizations which are investigating and researching BIG data problems are branching out in various ways right now. IBM it seems is one of the current leaders when it comes to fusing BIG data solutions and approaches. It’s difficult to see anything negative stemming from these recent developments, after all, combining various approaches and refining the existing ones while searching for newer solutions are the only things that can really be done. However, it is extremely refreshing to see that several areas of BIG data analysis, which have long been thought to be somewhat incompatible, coming together.

Likewise, it would be an enormous mistake to not utilize cloud computing in BIG data analysis, especially considering its many positive attributes. On the immediate side of things though, it’s great that someone is finding ways to bring together relational database approaches with that of Hadoop, given that they’re (arguably) the most popular/valued frameworks for dealing with BIG data. If IBM continues along this development path we might see plenty of additional packaged solutions for BIG data emerging in the very near future.

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