Smart Insight

We all know AI is helping us to give several steps ahead in some differentiated sectors. Many scientists point out that AI is leading us to a new industrial revolution. I have the same belief. AI is increasingly improving our world in all aspects. Today's topic is how AI is helping us in the mobility scope. Mobility - VCI, Portugal We are seeing a very significant amount of investments in the automotive industry to apply AI-based algorithms. The self-driving cars are becoming more reliable due to those investments. However, AI is not strictly applied to drive the vehicle. Mobility - VCI, Portugal We see lots of other car features using AI. Some examples are  the emergency brake systems, adaptative cruise control, read traffic signals to identify the allowed velocity, driving monitoring systems to check if the driver is distracted, systems to adjust the vehicle settings such as temperature, mirrors and seat position , and so forth. These features are improving global mobilit...

Being a farmer is not only making plants grow. Apart from all the care applied to the plants, they also need to collect what has been produced. The harvesting of agricultural products is one of the most difficult, and delicate stages in the food production chain. Harvesting strawberries - Photo by Farsai Chaikulngamdee on Unsplash Millions of people are employed in this process. It is a seasoned process what means temporary jobs. These jobs are mostly available in the summer season, where we reach the harvest phase for the majority of the plants. Many farmers dedicate themselves to fruit growth. In this agriculture's field, we have to take care of plants and then pick the fruits. As you may think, this is a hard and repetitive task. Image a farm with several acres of land. G etting all the fruits from the plants can take months and involve lots of people.  Hiring so many people is very expensive for farmers. Besides, people can harvest fruits inappropriately, reducing the fruit...

Artificial Intelligence is proving to be one of the keys to the next human revolution. We can find AI everywhere we go or even do. In these days, almost everything that runs a software uses AI. Thus, we are in contact with AI every day, even if you only use a smartphone.  Food - Photo by Dan Gold on Unsplash It uses AI in a bunch of apps, starting on the camera app. Although we are using AI in so many devices, some people are not aware of it. An example is the use of AI in the Food Industry.  Thereby, I am starting this series of posts to show you where AI is being used and how it is evolving the Food Industry.     Food is a human being need. Do you know how many are we? We are very close to being 8 billion people on earth . Moreover, the projections point to more than 9 billion people in 2050 , and more than 10 billion by 2100 .  We all need food to survive. Agriculture occupies 50% of the habitable land and requires 70% of the water in the world. So...

After learning about some examples of AI applications in the diagnosis phase and in the development of new tools, let's talk about AI and predicting the future.  Everyone dreams of the ability to predict the future. Such an ability could avoid some problems in our daily life. Data Analysis -  Photo by  Carlos Muza  on  Unsplash Could AI leverage us to reach that desired dream? We all heard about predicting AI algorithms applied especially on our economy. However, the big question here is: Can we use AI to predict diseases, new diseases, or even pandemics? Do we already have this kind of algorithms? Google's Scientists developed an AI system capable of analyzing scans of the back of an eye so it can predict data about the patients [1]. Some of the predicted data is related to the person's age, blood pressure, or if he/she smokes. Such indicators are directly related to cardiac events , like heart attacks. Thus, using this method, we do not need blood test...

The mobile camera applications for our phones and computers have become increasingly advanced. We can edit our photos and videos in less than one minute and get millions of views on the World Wide Web. One of the manipulations we can do to our recorded videos is called DeepFake. So, what is it?  Image from  theconversation Well, DeepFake can be designated as applying Deep Learning techniques to the video to mix two or more videos. Why use it? With DeepFake we can put a person telling something that she or he never told to anyone in is life. No, it is not a polygraph to say the truth. We simply record a video having some speech. Then, using DeepFake we "mix" our face with one from another person, and the final spectator will see the person you chose telling our speech. Imagine recording a video talking about how good you are in Artificial Intelligence and using a celebrity face to say it.  In this link , you can see a youtube video showing some examples of DeepFaking. ...

These days, the most used branch in AI is Deep Learning.  We can consider Deep Learning as a subset of Machine Learning, where the used algorithms should "learn" by themselves.  Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) are the State of the Art in terms of development and business implementation.  In Machine Learning (ML) the programming paradigm is a little bit different from the conventional. A "usual" programmer analyzes the inputs and develops the program to get the expected outputs.  For instance, we want to create a program that sums two numbers. The programmer evaluates the type of inputs and outputs and then writes the code to transform the input values into the desired outputs. When working on ML, we give the inputs and outputs to the system, and the algorithm "builds" the program itself. Thus, in ML programming paradigm is the algorithm that creates the program for us.  We represent the data as features and i...