Over three decades, the Internet has grown from a small network of computers used by research scientists to communicate and exchange data to a technology that has penetrated almost every aspect of our day-to-day lives. Today, it is hard to imagine a life without online access for business, shopping, and socialising. A technology that has connected humanity at a scale never before possible has also amplified some of our worst qualities. Online hate speech spreads virally across the globe with short- and long-term consequences for individuals and societies. These consequences are often difficult to measure and predict. Online social media websites and mobile apps have inadvertently become the platform for the spread and proliferation of hate speech.

My role spans positioning, competitive analysis, lead generation, customer engagement, and brand awareness for the GetResponse Enterprise platform. GetResponse has a growing, global team primarily based in Poland with offices in Brazil, Russia, Malaysia, Germany and in Boston, MA where I'm based. Today, the company has a team of more than 300 highly-skilled employees to create an innovative Marketing Automation platform known for great design, simplicity, and unmatched user experience. Throughout the industry, Marketing Automation tools have evolved a lot over the past few years. In fact, a recent Marketing survey conducted by GetResponse and Demand Metric shows that automation can yield 3X performance gains, yet fewer than 20 percent of marketers report full automation for any part of the funnel.

Armed forces in Latin America & the Caribbean are faced with the challenge of having to operate with a multi-dimensional mandate. In times of heightened civil unrest they are required to undertake peace-keeping operations, gang warfare driven by the arms-for-drugs trade calls for counter-insurgence style deployments and seasonal natural disasters often require their services to support the essential services under extreme conditions. With limited resources, every opportunity to prevent the unnecessary expenditure while maintaining effectiveness needs to be taken. In this post I will demonstrate how the application of the K-means clustering algorithm, in the context of how Naval Forces in Latin America and the Caribbean, can be used to schedule efficient Naval deployments and reduce the number of unnecessary operations. For this example I simulated 200 data points that represent the location of incidents that would result in the need for Naval resources to be deployed in the Caribbean Sea. The data have a timestamp that indicates the time of day of each incident on a 24-hour clock cycle.

We describe our methods to address both tasks of the ISIC 2019 challenge. The goal of this challenge is to provide the diagnostic for skin cancer using images and meta-data. There are nine classes in the dataset, nonetheless, one of them is an outlier and is not present on it. To tackle the challenge, we apply an ensemble of classifiers, which has 13 convolutional neural networks (CNN), we develop two approaches to handle the outlier class and we propose a straightforward method to use the meta-data along with the images. Throughout this report, we detail each methodology and parameters to make it easy to replicate our work. The results obtained are in accordance with the previous challenges and the approaches to detect the outlier class and to address the meta-data seem to be work properly.

Global Artificial Intelligence (AI) for Telecommunication Industry valued approximately USD 651.2 million in 2017 is anticipated to grow with a healthy growth rate of more than 42% over the forecast period 2019-2025. The Artificial Intelligence (AI) for Telecommunication Industry is continuously growing in the global scenario at significant pace. Artificial intelligence (AI) is group of methodology that focus on formation of intelligent machines with the help of human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. The main application of artificial intelligence in telecommunications is for network management. The two key technologies that are widely in telecommunication industry are expert systems and machine learning.

In our efforts to understand the Universe, we're getting greedy, making more observations than we know what to do with. Satellites beam down hundreds of terabytes of information each year, and one telescope under construction in Chile will produce 15 terabytes of pictures of space every night. It's impossible for humans to sift through it all. As astronomer Carlo Enrico Petrillo told The Verge: "Looking at images of galaxies is the most romantic part of our job. The problem is staying focused."

Landslides have caused more than 11,500 fatalities in 70 countries between 2007-2010. Over 1000 people were victims of a landslide that hit Sierra Leone in August 2017. The situation is getting worse as the volume and intensity of rainfall in West Africa is increasing. In April, Colombia's landslide left at least 254 dead and hundreds missing. Landslides are challenging across various levels, for example: social, economic, infrastructural, and environmental.

Lecture notes on optimization for machine learning, derived from a course at Princeton University and tutorials given in MLSS, Buenos Aires, as well as Simons Foundation, Berkeley.

Human beings are naturally predisposed to cultural bias. Found in all human sciences -- including economics, psychology, and anthropology -- cultural bias is defined as "the process of judging and interpreting phenomena by standards inherent to one's own cultural preferences or by norms of a particular culture." Cultural bias is why in some cultures averting eye contact can be interpreted as being evasive or shy, and in other cultures, a sign of respect. It's why people born in Argentina likely wear jerseys that honor Lionel Messi unlike their football peers across the Atlantic who revere Portugal's Cristiano Ronaldo. Why soup slurping in Korea is the norm, when it can be considered bad table manners elsewhere.

More than 120 million workers globally will need retraining in the next three years due to artificial intelligence's impact on jobs, according to an IBM survey. That's a top concern for many employers who say talent shortage is one of the greatest threats to their organizations today. And the training required these days is longer than it used to be -- workers need 36 days of training to close a skills gap versus three days in 2014, IBM notes in the survey. Some skills take longer to develop because they are either more behavioral in nature such as teamwork and communication or highly technical, such as data science capabilities. "Reskilling for technical skills is typically driven by structured education with a defined objective with a clear start and end," Amy Wright, IBM managing director for talent, wrote in an email.