SKYBOX ANNOUNCES MACHINE LEARNING INITIATIVE FOR COUNTER-STRIKE: GLOBAL OFFENSIVE

#artificialintelligence

Artificial intelligence (AI) specialists from the esports analysis and visualisation company will test prediction models at BLAST Pro Series Copenhagen 2020. The initiative will feature two competitions, organised by Skybox Technologies and RFRSH Entertainment, in collaboration with Copenhagen Capacity. The first will offer a $5,000 reward for the team with the best code, and the second will offer invitations to BLAST Pro Series Copenhagen for the top 5 participating teams, where they will run their code during live matches. The winning team will be announced before the grand final. Not only is this fascinating technology in its own right, but holding a competition like this, at a prestigious event, could help kickstart some serious careers for those involved, so its fantastic to see Skybox, RFRSH and Copenhagen Capacity working together to foster innovation.


Epileptic Seizure Prediction becomes much easier with the new Artificial Intelligence technology

#artificialintelligence

Recently, Hisham Daoud and Magdy Bayoumi of the University of Louisiana at Lafayette have introduced a completely new Artificial Intelligence (AI) system that predicts epilepsy seizures. According to the World Health Organization's reports, around 50 million people around the world are suffering from epilepsy and 70% of those patients can control the seizures through medications. The new AI technology shows 99.6% accurate results, and the best thing about it is that it predicts the attacks an hour before it happens. In this way, the patient can gear up for it and take medications that can prevent its occurrence. Having enough time to control the attack is what a patient needs.


Diversity Is Critical in Advertising : I95 Business

#artificialintelligence

How culturally relevant is your marketing – and particularly your advertising video content? Demographic change, socio-political division and social media are amplifying polarization, making it critically important for brands to understand and authentically connect with diverse consumers – or lose significant share. Many brands are still struggling to understand what resonates and what doesn't with key segments of the population, particularly when they are looking to reach people of color and younger generations. Brands that truly understand and stand (in an authentic way) with their audiences' cultural values and identity are winning at marketing. Those that don't understand or ignore them are being left behind – ignored by consumers at best or being brutally called out on social media at worst.


Causality-based Feature Selection: Methods and Evaluations

#artificialintelligence

Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between predictive features and the class variable and do not attempt to capture causal relationships between them. It has been shown that the knowledge about the causal relationships between features and the class variable has potential benefits for building interpretable and robust prediction models, since causal relationships imply the underlying mechanism of a system. Consequently, causality-based feature selection has gradually attracted greater attentions and many algorithms have been proposed. In this paper, we present a comprehensive review of recent advances in causality-based feature selection.


Self Driving Cars Have a Philosophical Brain.

#artificialintelligence

AI distills data from principles of philosophy using patterns we see in physics. The universe gives us clues to structure our thinking because we are captive to our observations. While we think we can speculate widely, we're merely playing within the belly of the universe that has dictated our paradigms. When you lift the hood of an autonomous car, there is a philosophical brain. AI here is referring to algorithms that perform functions that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.


Object Detector Android App Using PyTorch Mobile Neural Network

#artificialintelligence

Running Machine Learning code on mobile devices is the next big thing. PyTorch, in the latest release PyTorch 1.3, added PyTorch Mobile for deploying machine learning models on Android and iOS devices. Here we will look into creating an Android Application for object detection inside an image; like the GIF shown below. We will be using a pre-trained ResNet18 model for this tutorial. ResNet18 is the state of the art computer vision model with 1000 classes for classification.


An imitation learning approach to train robots without the need for real human demonstrations

#artificialintelligence

Most humans can learn how to complete a given task by observing another person perform it just once. Robots that are programmed to learn by imitating humans, however, typically need to be trained on a series of human demonstrations before they can effectively reproduce the desired behavior. Researchers were recently able to teach robots to execute new tasks by having them observe a single human demonstration, using meta-learning approaches. However, these learning techniques typically require real-world data that can be expensive and difficult to collect. To overcome this challenge, a team of researchers at Imperial College London has developed a new approach that enables one-shot imitation learning in robots without the need for real-world human demonstrations.


Introduction to Statistical Methods in AI Plow

#artificialintelligence

Statistical Learning is a set of tools for understanding data. These tools broadly come under two classes: supervised learning & unsupervised learning. Generally, supervised learning refers to predicting or estimating an output based on one or more inputs. Unsupervised learning, on the other hand, provides a relationship or finds a pattern within the given data without a supervised output.


How technology can help India cope with natural disasters - Express Computer

#artificialintelligence

The year 2019 has been one of the worst years in the history for India when it comes to natural disasters. More than 13 Indian states (Kerala, Gujarat, Karnataka, Maharashtra, Madhya Pradesh, Andhra Pradesh, Odisha) have been affected due to floods. Government reports state that this year has been witness to the heaviest monsoon rains to wreck havoc in India in the last 25 years. More than 1,600 people have been killed with millions of people losing their homes and their livelihood. While this year has been devastating, every year, the same pattern repeats itself.


How AI can help fight cyberbullying

#artificialintelligence

Cyberbullying is just as dangerous and huge a problem as regular bullying. Last year, a 12-year-old girl from Florida committed suicide by hanging herself. As the investigation of her demise found out, the reason for her taking her life was cyberstalking and cyberbullying. Two more 12-year-olds were taken into custody after the incident for spreading rumors about the victim online and for inciting her to commit suicide. While bringing many new possibilities to education, technology and Internet accessibility can become a means to harm another person, as seen in this tragic case--and, unfortunately, many others.