Game theory is one of the most fascinating areas of mathematics that have influenced diverse fields such as economics, social sciences, biology and, obviously, computer science. Games are playing a key role in the evolution of artificial intelligence(AI). For starters, game environments are becoming a popular training mechanism in areas such as reinforcement learning or imitation learning. In theory, any multi-agent AI system can be subjected to gamified interactions between its participants. The branch of mathematics that formulates the principles of games is known as game theory.

The White House has urged AI experts to analyze a dataset of 29,000 scholarly articles about coronavirus that could offer insights into how to manage the pandemic. These questions have been published on Kaggle, a machine learning community owned by Google. The entire COVID-19 Open Research Dataset (CORD-19) has been made available on SemanticScholar, a free, nonprofit, academic search engine. The collection will be updated whenever new research is published in archival services and peer-reviewed publications. "Decisive action from America's science and technology enterprise is critical to prevent, detect, treat, and develop solutions to COVID-19," said Michael Kratsios, the USA's Chief Technology Officer.

We develop a learning framework for building deformable templates, which play a fundamental role in many image analysis and computational anatomy tasks. Conventional methods for template creation and image alignment to the template have undergone decades of rich technical development. In these frameworks, templates are constructed using an iterative process of template estimation and alignment, which is often computationally very expensive. Due in part to this shortcoming, most methods compute a single template for the entire population of images, or a few templates for specific sub-groups of the data. In this work, we present a probabilistic model and efficient learning strategy that yields either universal or \textit{conditional} templates, jointly with a neural network that provides efficient alignment of the images to these templates.

Mathematicians Hillel Furstenberg and Gregory Margulis have jointly won the 2020 Abel prize for their pioneering use of methods from probability and dynamics in other mathematical fields such as group theory, number theory and combinatorics. Furstenberg, at Hebrew University of Jerusalem in Israel, and Margulis, at Yale University, have never formally collaborated, but both invented similar "random walk" techniques to study various mathematical objects. They share a 7.5 million Norwegian kroner (£595,000) prize. "I received this notice with total disbelief," said …

DeepMind has attracted mixed headlines since Google paid $50 million for the U.K.-based AI startup in 2014. The awe inspired by DeepMind's AlphaGo system defeating Go world champion Lee Sedol was soon tempered by criticisms of its controversial access to personal health records, which the ICO ruled had breached the Data Protection Act, and the concerns grew when Google announced it would be taking control of DeepMind Health. Trust has wavered ever since, but the AI developed in the DeepMind lab in King's Cross, London, continues to lead the world and is finding its way into some intriguing applications. DeepMind is collaborating with Google's AOI health research team and a group of research institutions, led by the Cancer Research U.K. Centre at Imperial College London to improve the detection of breast cancer. The disease kills 500,000 people around the world every year, partly due to the challenges of detection and diagnosis.

From the initially reported outbreak of coronavirus (COVID-19) in China to the spread of it across the globe, Medtech companies are rolling out robots and drones to help fight it and provide services and care to those quarantined or practicing social distancing. This pandemic has fast-tracked the "testing" of robots and drones in public as officials seek out the most expedient and safe way to grapple with the outbreak and limit contamination and spread of the virus. As one of the world's most influential tech innovators and a country that had prioritized the advancement of robotics as a key component in its Made in China 2025 initiative, when COVID-19 broke out in China it became an ideal time to see what robots and drones could do to support humans in battling the virus. Here are some of the ways robots and drones are being used to fight COVID-19. COVID-19 is taxing healthcare systems and medical professionals in every country it spreads to.

In a very important way, adaptive analytics processes help companies cope with constantly changing external forces, such as new regulatory compliance requirements, market dynamics and competitive pressures. Analytics are also critical for monitoring internal functions and change programs to provide context, transparency and agility for identifying issues and responding to potential problems before they become emergencies. They enable organizations to become adaptable and react and pro act to constantly changing market forces such as Brexit, US/China Trade, Mideast and others.

Tackling cancer is one of the most significant public health challenges of the 21st century, and accurately detecting the presence of tumors is an essential part of this challenge.Tel Aviv-based Ibex Medical Analytics supports medical professionals through its AI-based technology, which is designed to be used in routine clinical practice.Ibex's Galen Prostate solution helps identify suspected cancer on prostate core-needle biopsies. It just received the CE-IVD Mark, the company announced last Thursday, marking the first time one of its products has received the certification of conformity to EU health, safety and protection standards.Ibex provides an important contribution in facing two challenges, the shortage of pathologists and the occurrence of human errors, CEO Joseph Mossel told The Jerusalem Post."When a person shows potential symptoms of cancer, the next step is a biopsy, an analysis of a sample of the affected tissues," he said. "The examination of the sample has to be carried out by a pathologist using a microscope. Pathology is a complex medical discipline that requires years of training, and the world is facing a shortage of these specialists, even in countries such as the US and the UK. There is a growing gap between supply and demand."Galen

Neuromorphic chips are expected to be the predominant computing architecture for new, advanced forms of artificial-intelligence deployments by 2025, according to technology research firm Gartner Inc. By that year, Gartner predicts, the technology is expected to displace graphics processing units, one of the main computer chips used for AI systems, especially neural networks. Neural networks are used in speech recognition and understanding, as well as computer vision. With neuromorphic computing, it is possible to train machine-learning models using a fraction of the data it takes to train them on traditional computing hardware. That means the models learn similarly to the way human babies learn, by seeing an image or toy once and being able to recognize it forever, said Mike Davies, director of Intel's Neuromorphic Computing Lab.

It has just become so ingrained in our lives that it is no longer an interesting topic of discussion. Instead, people are focusing on artificial intelligence. In this article, we will go over ten of the most interesting and important facts about artificial intelligence (AI) that will make you understand why it is an inevitable part of our lives and our future. It suddenly realizes its possibilities and its strength, but it doesn't know how it got there. One thing that artificial intelligence (AI) is capable of doing is going over all of the data ever recorded on the internet.