Software writing is slowly moving from human-written to computer generated using large amounts of data. Blockchain allows for crowdsourcing of cheap and diverse high quality data which wasn’t possible before.
The “IF” “THEN” approach
The Von Neuman computer model I used in all the computer we are familiar with from Desktop to Laptops via Smartphones and Tablets. To make the computer do what we want the typical computer programmer will, elegantly and through more advanced rules, basically write a list of “if” “then” conditions where all possible cases will hopefully be covered. For example: if you type W, move the character up. If you type S, move it down. If there is a wall in the direction of movement stop. And so on. The results are the computers we are familiar with today who use keyboards, mice, and in general digital inputs that are 0s or 1s and very clear. This also includes capacity sensing on smartphones which are “is the finger here or not”.
However, as seen in self-driving cars, recent advances in computer science are opening the door to computers using other inputs like “what they see”.
Blockchain is great at decentralizing control and data. It creates communities, as people must contribute to the ecosystem in some form to give the data value. This value can derive from maintaining the ledger, providing a resource, or contributing data. New industries are being tested with this technology, but it is the computer vision and machine learning industry that needs to embrace blockchain.
For instance, when creating augmented reality applications, a massive amount of data is needed to make it accurate and efficient. However, this takes a lot of time and can slow the project down.
Lampix is Introducing Blockchain Image Mining to the Computer Vision and Machine Learning World
Lampix plans on using the power of blockchain to create one of the largest image database with the help of machine learning. Developers will be able to tap into this database for their own product, such as Google Glass, Holo Lens, or our Lampix product, and create applications. This is exciting, as for any application, a lot of data is necessary to make it accurate and work properly. The database will consist of over a billion datasets contributed by image miners, who are compensated with PIX tokens for submitting datasets.
Artificial intelligence has been immensely advantageous to the financial sector. The lengthy tedious work which took hours for humans to perform was reduced to seconds by computer software. The use of papers, pens, and abacuses for conventional accounting systems have been transformed into the computerized system of accounting and auditing. Innovation in this field is so powerful that it has elevated the financial auditing process to a higher plane.
Ocrolus is a financial service provider with two powerful AI products: “PerfectAudit” and “MedicaidGenius.” These products eliminate the need to audit bank and credit card statements manually.
The company was founded in 2014 and is headquartered on Wall Street in New York. After testing and polishing, Ocrolus launched officially in January 2016. Its team consists of four executive members–Sam Bobley, Victoria Meakin, Vikas Dua, and Zoheb Sait. There are an additional 15 employees working on the technology and operations side of the business.
Victoria Meakin serves as president of the company. She was also the co-founder and president of PhoneCharge, an electronic payment processing company that sold to CheckFree for around $100 million. CEO Sam Bobley is a young technology entrepreneur who graduated from the University of South Carolina-Columbia. COO Vikas Dua was previously associated with on-demand Series-C startup Handy.