Source: computing.co.uk Alphabet subsidiary DeepMind announced on Monday that it has open-sourced Lab2D, a scalable environment simulator for artificial intelligence (AI) research that facilitates researcher-led experimentation with environment design. DeepMind describes Lab2D as a system designed to support creation of two-dimensional (2D) layered, discrete “grid-world” environments, in which pieces move around in the same way as chess Read More
Tag: Reinforcement Learning
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Source: venturebeat.com UC Berkeley AI researchers say they’ve created AI for autonomous vehicles driving in unseen, real-world landscapes that outperforms leading methods for delivery robots driving on sidewalks. Called LaND, for Learning to Navigate from Disengagements, the navigation system studies disengagement events, then predicts when disengagements will happen in the future. The approach is meant Read More
Source: koreabizwire.com South Korean researchers have developed a new artificial intelligence (AI) technology that enables robots to complete their assigned missions by making independent decisions on what actions to take. The state-run Electronics and Telecommunications Research Institute (ETRI) announced on Tuesday that it had developed ‘ActionBrain’ technology that clears the way for robots to make Read More
Source: sggpnews.org.vn This is the first time in Vietnam a simulation contest combining AI algorithm with Esport has been held. The Arena, named ‘Treasure Island’, follows the one-on-one combat model to select 8 most prominent teams. These competitors then went through 15 final rounds to identify the winner. Among the contestants for the final match, Read More
Source: alyticsindiamag.com The current state-of-the-art reinforcement learning techniques require many iterations over many samples from the environment to learn a target task. For instance, the game Dota 2 learns from batches of 2 million frames every 2 seconds. The infrastructure that handles RL at this scale should be not only good at collecting a large Read More
Source: bair.berkeley.edu To operate successfully in unstructured open-world environments, autonomous intelligent agents need to solve many different tasks and learn new tasks quickly. Reinforcement learning has enabled artificial agents to solve complex tasks both in simulation and real-world. However, it requires collecting large amounts of experience in the environment for each individual task. Self-supervised reinforcement learning has emerged as an alternative, Read More
Source: unite.ai When discussing Artificial Intelligence (AI), a common debate is whether AI is an existential threat. The answer requires understanding the technology behind Machine Learning (ML), and recognizing that humans have the tendency to anthropomorphize. We will explore two different types of AI, Artificial Narrow Intelligence (ANI) which is available now and is cause for concern, Read More
Source:unite.ai Engineers at Swiss Center for Electronics and Microtechnology have developed a new machine-learning method capable of cutting energy use, as well as allowing artificial intelligence (AI) to complete tasks that were once considered too sensitive. Reinforcement Learning Limitations Reinforcement learning, where a computer continuously improves upon itself by learning from its past experiences, is a Read More
Source: news.psu.edu UNIVERSITY PARK, Pa. — If you’ve ever played an online video game, you’ve likely competed with a bot — an AI-driven program that plays on behalf of a human. Many of these bots are created using deep reinforcement learning, which is the training of algorithms to learn how to achieve a complex goal Read More
Source: how2shout.com In this world where there is competition everywhere for example in terms of education, sports, jobs, etc. and people always try to show their best to achieve the point of success by defeating the others. It can be thought of as a war that is going around the world with a different name Read More
Source: businessworld.in Artificial intelligence (AI) is a well-recognised and used buzzword. However, it means different things in different situations – and as such, it can be tricky to define. Whilst most people think of AI as a technology in its own right, it’s actually more of a general term used to refer to a number Read More
Source: cordis.europa.eu Designing algorithms for more challenging data Machine Learning researchers often have to overcome the ‘sim-to-real’ transfer, where algorithmic feats accomplished in computer simulations can be repeated in test performances. DESIRE has produced a data-driven, robust decision-making algorithm to achieve just that. Advancements in computing, such as the game AlphaGo, both rely on and Read More
Source: chemeurope.com Molecules are the building blocks of everyday life. Many materials are composed of them, a little like a LEGO model consists of a multitude of different bricks. But while individual LEGO bricks can be simply shifted or removed, this is not so easy in the nanoworld. Atoms and molecules behave in a completely Read More
Source: metrology.news. As the digital age moves forward, it’s becoming impossible to avoid interacting with artificial intelligence (AI) systems. Computer assistants and AIs perform an ever-growing range of tasks that are broadly intended to improve our quality of life. This extends to industry as well. But first, what do we mean by artificial intelligence? In Read More
Source: syncedreview.com According to the World Social Report 2020 published by the UN Department of Economic and Social Affairs, income inequality has been widening since 1990 for more than 70 percent of the global population. The negative impacts on economic opportunity, health, and social welfare are seen to be accelerating divisions in economic and social development. Although Read More
Source: computerweekly.com Singapore’s DBS Bank has teamed up with Amazon Web Services (AWS) to equip at least 3,000 employees, including its senior leadership, with skills in artificial intelligence (AI) and machine learning (ML) by the end of 2020. Through the DBS x AWS DeepRacer League, participants will pick up ML coding skills to programme their own AWS Read More
Source: i-hls.com Future multi-domain battles will require swarms of dynamically coupled, coordinated heterogeneous mobile platforms to overmatch enemy capabilities and threats. The US Army is looking to swarming technology to be able to execute time-consuming or dangerous tasks. Swarming is a method of operations where multiple autonomous systems act as a cohesive unit by actively Read More
Source: rtinsights.com For over a decade, AI has been in a hype cycle, triggered by the extensive deployment of machine learning technologies. But, in the past few years, AI experts and executives at major technology companies have warned of a looming AI winter, as we reach the computational limits of our current hardware. As research Read More
Source: therobotreport.com Army researchers developed a reinforcement learning approach that allows swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty. Swarming is a method of operations where multiple autonomous systems act as a cohesive unit by actively coordinating their actions. Army researchers said future multi-domain battles will require Read More
Source: ukhumanrightsblog.com In response to a legal challenge brought by the Joint Council for the Welfare of Immigrants (JCWI), the Home Office has scrapped an algorithm used for sorting visa applications. Represented by Foxglove, a legal non-profit specialising in data privacy law, JCWI launched judicial review proceedings,, arguing that the algorithmic tool was unlawful on Read More
Source: A major depressive disorder (MDD) diagnosis could foretell impairments in reward-processing. A team, led by D. Chamith Halahakoon, MBChB, Institute of Cognitive Neuroscience, University College London, determined whether depression is linked to impairments in reward-processing behavior. While dysfunctional reward processing is a leading candidate mechanism for the development of certain depressive symptoms, including anhedonia, there has Read More
Source: top10pokersites.net A team of researchers from Facebook have recently developed a poker-playing AI that is capable of beating human players in heads-up, no-limit Texas hold’em poker. Called Recursive Belief-based Learning (ReBel), the general AI framework learns poker faster than any other previous poker-specific AI, using less domain knowledge, and researchers are claiming this with a supporting experiment. The Read More
Source: zdnet.com Juniper Networks on Wednesday announced it’s extending AI-driven insights to WAN and branch networks with a new cloud-based service called Juniper Mist WAN Assurance. Additionally, the company is introducing a new conversational interface to networking operations, enabling either IT teams or end users to more easily communicate with Marvis, Juniper’s virtual network assistant. Read More
Source: techcentral.ie Pluralsight, the technology skills and engineering management platform, has announced a collaboration with Amazon Web Services (AWS) that will help technologists enhance their machine learning (ML) skills. The collaboration features an AWS DeepRacer hub on the Pluralsight platform that includes a customised channel, curated by Pluralsight and AWS experts, for AWS DeepRacer content. Read More
Source: ai4business.it The economic inequality is increasing globally and is a growing concern because of its negative impact on growth opportunities, health and social welfare. Taxes are the primary tool that governments have to reduce inequality, however, find a tax policy that optimizes both equality as productivity is an unsolved problem. Tax theory is based on simplifying assumptions Read More
Source: pressroom.today The quantum of data generated, stalls the performance of traditional machine learning methods on a standstill, calling for enhanced reinforcement learning models such as deep learning – capable of training large neural networks. Building Deep Learning Neural Networks in Critical Infrastructure (CI): The process of Deep Learning such as classification, detection & localisation Read More
Source: bestgamingpro.com In a study printed on the preprint server Arxiv.org, DeepMind researchers describe a reinforcement learning algorithm-generating approach that discovers what to foretell and the way to be taught it by interacting with environments. They declare the generated algorithms carry out nicely on a variety of difficult Atari video video games, reaching “non-trivial” efficiency indicative of the approach’s Read More
Source: venturebeat.com In a study published on the preprint server Arxiv.org, DeepMind researchers describe a reinforcement learning algorithm-generating technique that discovers what to predict and how to learn it by interacting with environments. They claim the generated algorithms perform well on a range of challenging Atari video games, achieving “non-trivial” performance indicative of the technique’s generalizability. Reinforcement learning algorithms Read More
Source: techxplore.com In recent years, a growing number of researchers have been developing artificial neural network (ANN)- based models that can be trained using a technique known as reinforcement learning (RL). RL entails training artificial agents to solve a variety of tasks by giving them “rewards” when they perform well, for instance, when they classify Read More
Source: aithority.com AnyLogic North America announced a new collaboration with Microsoft. This relationship brings the deep reinforcement learning and machine teaching capabilities of Microsoft Project Bonsai to practical business applications. “The integration with Project Bonsai enables AnyLogic to bring advanced artificial intelligence and reinforcement learning to our world class business simulation platform without the need for Business Analyst Read More