Nicolas Babin disruptive week about Artificial Intelligence – April 5th 2021

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today’s life. I will also comment on the articles.

On MIT news:

An artificial intelligence tool that can help detect melanoma. Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer. The health sector will benefit greatly from AI based algorithms. Here you will be able to read a concrete example of how it works.

On Globenewswire:

Holberton Launches Expanded Program to Accelerate Learning Fundamentals of Artificial Intelligence. The new Machine Learning (ML) and Mathematics Team, comprised of AI experts from academia, Google, NASA and more, to train the next generation of ML software engineers.

On the Maritime Executive:

A Fresh Perspective on Ports and Artificial Intelligence. There seems no end to the plethora of software solutions suddenly seeming to have acquired the quality of artificial intelligence (AI). Little more than a decade after phones reportedly grew “smart,” you might now be wondering whether technology had crossed yet another historic threshold. For those of us who grew up watching 2001 A Space Odyssey and Knight Rider, the concept of non-human intelligence—whether benevolent or malevolent—is nothing new. Not only does science fiction fuel our expectations, it has often demonstrated an uncanny ability at predicting real life technological advancements. Is the age of artificial intelligence now upon us? AI can help all sectors in our economy. The maritime one definitely needs to optimise its operations. This is what AI based algorithms can do.


In Computero: Hear How AI Software Wrote a ‘New’ Nirvana Song. Computer-generated artificial tracks by Jimi Hendrix, Amy Winehouse and Jim Morrison highlight a new project that helps bring attention to mental illness. Now an organization has created a “new” Nirvana song using artificial-intelligence software to approximate the singer-guitarist’s songwriting. When I said earlier that all sectors can use AI based algorithms, I mean all sectors including the music or film industries. Have a read, you will be surprised.


Opinion | Artificial intelligence problem isn’t computers; it’s humanity. The turn of the century has solidified computer science as the premier scientific field, with strides being made in it every single day and related fields such as math, logic, physics, psychology and philosophy. As time goes on and technology continues to advance, the fearful sentiment regarding artificial intelligence, or AI, among the general public remains largely the same. Popular figures like Elon Musk fear monger about humanity’s technological creations turning against it, but experts in the field are quick to solidify the fact that AI is actually not quite as intelligent as pop culture paints it to be. AI is severely limited not only by the physical capabilities computers face trying to store large amounts of data but also by the lack of technical ability of computers to work exactly like a human brain. A great article to read. It explains also another angle of what the fear of AI can be. I tend to agree with their opinion about humanity being more of a problem than computers. In any case, Humans built computers and if we find issues with algorithms, we are to be blamed for it.


Pentagon seeks commercial solutions to get its data ready for AI.  The Pentagon’s Joint Artificial Intelligence Center is recruiting businesses to help prepare military data for use with AI.The solicitation released March 31 is a sign of the AI office’s shifting role from product developer to provider of AI readiness services for Defense Department components. The basic ordering agreement would allow those components and federal partners to issue task orders for the work to get data in shape for artificial intelligence — that could include everything from capturing data to sorting it for storage to modeling how employees will use it with AI to get better insights. To raise my case, you can find here another example of a sector that needs AI.


AI in fraud investigation makes the whole process efficient by generating relevant data. Right from deploying machines to get the work done to the robots assisting the doctors in surgeries, we’ve come a long way – thanks to Artificial Intelligence, truly a remarkable innovation! Today, the business models that we get to see extensive use of technology. Also, the new and complex challenges behind managing the fraud investigation are a strenuous task in itself. Well, it doesn’t end there. Cross-border probe adds to the already existing complexity. Such an investigation could highlight bribery, corruption, data breach, conflict of interest, fraud in financial reporting and IP theft, to name a few. This is a very well documented article that shows how AI can optimize the work for law enforcement professionals in fraud detecting and investigation.