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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. The recommendation systems (RS) are becoming an integral part of our daily lives. This means that we can obtain what we desire either through internet-accessible applications or on social media channels. Traditional views of the recommendation problem refer to it as a simple classification or prediction problem; however, recently new evidence indicates that it is essentially a sequential problem[1]. It can therefore be formulated as a Markov decision process (MDP) and reinforcement learning (RL) methods can be employed to resolve it [1]. RL algorithms play a crucial role as these algorithms are very advantageous to cope with the dynamic environment and large space [4]. Deep Reinforcement Learning (DRL), have enabled RL to be applied to the recommendation problem with massive states and action spaces. RL-based and DRL-based methods in a classified manner based on the specific RL algorithm, like Q-learning, SARSA, and REINFORCE, that is used to optimize the recommendation policy[2].
BSc and MSc in Artificial Intelligence and Computer Science
The University of Birmingham, Dubai, is inviting applications for its BSc and MSc courses in Artificial Intelligence and Computer Science. Artificial intelligence (AI) is a multidisciplinary field that connects computing, psychology, neuroscience, philosophy, mathematics and linguistics. Using state-of-the-art facilities in the new, technology enhanced'smart' campus, the degree programmes provide students with computing skills to enter industry, while also allowing them to acquire scientific skills in order to pursue research. The wide range of modules focus on areas of AI that interest students the most and will help kick-start a great career. Both the programmes by the university have been designed in such a way that people even from a variety of academic backgrounds can get upto speed with AI and computer science without any issues.
Artificial intelligence challenges what it means to be creative
When British artist Harold Cohen met his first computer in 1968, he wondered if the machine might help solve a mystery that had long puzzled him: How can we look at a drawing, a few little scribbles, and see a face? Five years later, he devised a robotic artist called AARON to explore this idea. He equipped it with basic rules for painting and for how body parts are represented in portraiture -- and then set it loose making art. Not far behind was the composer David Cope, who coined the phrase "musical intelligence" to describe his experiments with artificial intelligence–powered composition. Cope once told me that as early as the 1960s, it seemed to him "perfectly logical to do creative things with algorithms" rather than to painstakingly draw by hand every word of a story, note of a musical composition or brush stroke of a painting.