The 2015 World Economic Forum, underlined the concept of blockchain as one of the six future megatrends for the next decade. A possible impact on transaction activities is that none of these are likely to become a reality unless governments and businesses adapt quickly to the new platform. This would likely facilitate automated processes using […]

Using in-depth analysis of blockchains through the data they produce and pattern recognition across thousands of interactions, it may be possible to identify nefarious users and those you should avoid doing business with. It is the equivalent of credit checks on a credit card, making sure that the actions are legal and genuine. This kind […]

We have blockchain tech’s promise of near-frictionless value exchange and artificial intelligence’s ability to accelerate the analysis of massive amounts of data. The joining of the two could mark the beginning of an entirely new paradigm. We can maximize security while remaining immutable by employing artificial intelligent agents that govern the chain. With more companies […]

Last year, researchers were able to fool a commercial facial recognition system into thinking they were someone else just by wearing a pair of patterned glasses. A sticker overlay with a hallucinogenic print was stuck onto the frames of the specs. The twists and curves of the pattern look random to humans, but to a […]

What if part of your job became teaching a computer everything you know about doing someone’s job — perhaps your own? Before the machines become smart enough to replace humans, as some people fear, the machines need teachers. Now, some companies are taking the first steps, deploying artificial intelligence in the workplace and asking their […]

In a paper posted to the arXiv preprint server this week, a team of computer scientists from the Renmin University of China in Beijing describes their system for fooling a computer trained to understand language. In short, by adding one very specific word to a particular part of a long sentence, or slightly misspelling one […]

How Does Machine Learning Work?Machine learning is often referred to as magical or a black box:Insert data > magic black box > mission accomplished.Let’s look at the training process itself to better understand how machine learning can create value with data.CollectMachine learning is dependent on data. The first step is to make sure you have […]

Programming used to be about translation: expressing ideas in natural language, working with them in math notation, then writing flowcharts and pseudocode, and finally writing a program. Translation was necessary because each language offers different capabilities. Natural language is expressive and readable, pseudocode is more precise, math notation is concise, and code is executable. Source: […]

If we go by the facts then every day 2.5 Quintillion Bytes of Data is created in the world. This data also has the repetitive and erroneous records which we need to remove before mining it for insights in it. Inaccurate Data leads to wrong assumptions and analysis ultimately leading to failure of the project. […]

In some broader sense, the epistemological notion of ground truth could apply to any machine-learning approach, if taken to mean the prior understanding of what sorts of patterns the algorithm is trained to search for. The truths being distilled from the data are those consistent with what domain experts—tutors—or quantitative experts—for example, statisticians, mathematicians, and […]