Innovation of Tomorrow

Innovation of Tomorrow

            Kevin Kelly (2005) discussed the technology dependence of the alphabet and writing and the fact that simply searching Google is a more efficient means of acquiring information than learning and remembering. Following this line of thought, an innovative idea that is not possible today but is likely to become possible in the next 20 years is the capacity to download data directly into the brain. This has been theorized in science fiction and represented in such films as Matrix. However, it may not be science fiction for much longer. As of 2018, innovators have created artificial intelligence algorithms that can map and reconstruct the human brains’ visual field (Jezard, 2018). In other words, a functional magnetic resonance imaging headpiece can draw what a person is thinking about. This is the first step towards downloading data in the brain, translating the brain's data with machine intelligence. Communication between the human brain and artificial intelligence would lead to a host of new technologic innovations and a possible cultural expansion. Known as brain-computer-interface (BCI), this innovation could be a game-changer (Golembiewski, 2020).  

            One force that would facilitate its success is the next step after the IoT)'s Internet of Things (IoT) become ubiquitous in culture. Kelly (2005) emphasized that “attention is currency,” and human attention is drawn to the novel and the new. After people become bored with having all their possessions linked to the net, they will likely desire to become a part of this interchange. This would turn a person’s ever local experience into a possible global interchange. The innovation to download information directly into the brain may allow people to have experiences others’ have recorded, as in the film Strange Days. It may allow people to develop skills by programming their brains, but it is likely actual practice to develop muscle memory would be needed for physical skills such as karate. However, this innovation would challenge the ethics of privacy, intellectual property, and possibly autonomy. 

 

 

References

Golembiewski. (2020). Are you ready for tech that connects to your brain? Harvard Business Review. https://hbr.org/2020/09/are-you-ready-for-tech-that-connects-to-your-brain

Jezard, A. (2018). This mind-reading AI can see what you're thinking - and draw a picture of it. WeForum https://www.weforum.org/agenda/2018/02/mind-reading-ai-creates-images-from-your-thoughts/

Kelly, K. (2005). How technology evolves. Ted. https://www.ted.com/talks/kevin_kelly_how_technology_evolves

Comments

Post a Comment

Popular posts from this blog

Socio-Technical Systems In Big Data & Artificial Intelligence

Socio-Technical Systems In Big Data & Artificial Intelligence Introduction Before they knew that big data was present, the planet was rooted in big data. Big Data had gathered many processed data when the word was invented and might reveal useful information into the market with which the specific data contributed if studied. The work of screening, scanning, and analyzing all this data for making business decisions is too much for people to do. IT experts and IT scientists soon discovered that. The tremendous challenge of gaining knowledge from uncertainty should be created using artificially intelligent algorithms. Companies will be forced to extend their data analytics and AI capacities in the years ahead, to the extent that all of our laptops, handheld smart devices, and the Internet of Things (IoT) gadgets will collect data for their enterprise analytical specialist or data analytics leaders. The Internet now offers a degree of specific knowledge, unimaginable a decad...
Read more

Benefits of Big Data Analytics

Benefits  of Big Data Analytics      Big data has the principal benefit of large-scale analytics. Using cloud-based big data processing, companies can further analyze the vast quantities of organized and unstructured data available. The cloud's simplicity makes it perfect for analytics with large data. Cloud computing is also much easier for businesses to use than big data services formerly used by enterprises. In addition, the cloud simplifies data integration for organizations from different sources. When businesses move their processes and Big Data Analysis into the cloud, competing companies have important financial advantages. This is because businesses need to achieve and retain large data centers that will rob their IT budgets by doing on-site Big Data Analytics. This burden is shifted to the cloud provider as you switch to the cloud. You are not leaving the Major Data Centers in-house. This ensures that you will reduce your trust in the local resources by kee...
Read more

Common Object Request Broker Architecture (CORBA)

Common Object Request Broker Architecture (CORBA)      In this discussion post, I would like to talk about distributed systems in robotics and building analytical models. Robotics and modeling always fascinated me. I also believe they are crucial players for our future, to reduce our time and effort spent on major tasks. After reviewing many videos and studying articles, I would like to discuss the architecture and the major programming language platform these robots and models are built. It's popularly defined through the object management group (OMG) and pursuits to facilitate conversation among deployments/working systems throughout distinct structures. CORBA verbal exchange may be completed among software programs written in one-of-a-kind languages and running on exceptional computers. CORBA supports collaboration among systems related to distinct working structures, programming languages, and computing hardware. CORBA uses Interface Definition Language (IDL) to speci...
Read more