With the system, the operating parameters of a drone can be encoded and stored. This allows drones to pass through each other’s locations. This is because the receiving drone can decrypt, read and decrypt the parameters.

Since 2017, the retail giant has patented blockchain solutions for drones. In May 2017, for example, Walmart filed a patent application for a ‘Unmanned Air Delivery to a Safe Place’ system. Walmart has been flirting with cryptocurrencies for some time. Earlier this month, a patent was filed for a digital currency based on blockchain. According to the documents, Walmart ‘wants to launch a digital currency based on a regular currency such as the US dollar. So, this is really a stable currency.

On May 17, 2018, a patent application was filed for a blockchain solution for a market or a second-hand items platform. The application describes a service that records a customer’s purchases in the blockchain. This allows the customer to resell items on a sales platform using proof of purchase.

In order to sort out 203,769 transactions for a total of $ 6 billion, the research team used a machine-learning algorithm. The results were highly controversial: 77% of transactions were not classified at all, 21% were recognized as full and only 2% were illegal. And yet, researchers confidently state that artificial intelligence can significantly increase the effectiveness of anti-money laundering procedures.

Less than month ago, a similar study was conducted by Chainalysis and, according to its data, the share of transactions in the Bitcoin network related to criminal activity in 2019 is estimated at about 1%. That is, in general, the data from Elliptic analysts are almost no different from the results of a study conducted by Chainalysis. Note that in 2012 this figure was 7%.

Law enforcement agencies often turn to Elliptic for help, especially when it is necessary to identify cases of illegal use of cryptocurrencies. Algorithms developed by the company help determine whether Bitcoin is used for legitimate purposes, for example, by people who do not have access to banking services, or if unknown attackers try to use cryptocurrency for illegal activities.

“Despite the high performance indicators of our algorithms, their use is still fraught with some problems, the largest of which is false positives. The main objective of this study was to reduce the number of such responses. However, the key conclusion is that such machine-learning algorithms are very effective at detecting illegal transactions, ”said Elliptic co-founder Tom Robinson.

Robinson also noted that in some cases, the system detected patterns for which it is difficult to find a description, but they corresponded to confirmed cases of illegal activities related to darknet markets, attacks by ransomware and other criminal activity.

It was also shown that most women who were educated in high-level skills, such as Kerala, had not yet realized their potential in business ventures. “Proposals and issues raised at such meetings will have an impact on the council’s decision,” she added in the inaugural address that day, which was held in collaboration with the Native Women’s Network in the Confederation Industry.

It is a mistake to maintain the general belief that new companies are systematically linked to new and innovative products. “There are products based on needs and others based on possibilities. Women must use their great potential,” he said.

The meeting was an opportunity for women to restore business opportunities that are often missed due to system failures. Because women have proven their superiority in higher education, KSUM must promote their professional profile by facilitating opportunities.

The meeting took place in the context of 13% women’s participation in the ecological ecosystem of Kerala and a proactive approach by the state government to increase women’s participation in this sector.