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
Category: Reinforcement Learning
Reinforcement Learning
Source: technologyreview.com The square-faced, three-legged alien shoves and jostles to get at the enormous plant taking over its tiny planet. But each bite just makes the forbidden fruit grow bigger. Suddenly the plant’s weight flips the whole sphere upside down and all the little creatures drop into space. Quick! Reach in and catch one! Agence, Read More
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: 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: genethique.org Researchers at the Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital recently conducted a study on the possibility of using deep learning techniques ” to monitor the level of unconsciousness in patients who require anesthesia for medical procedure ”. Their document[1] , to be published in the proceedings of the 2020 international Read More
Source: fields.utoronto.ca Covid-19 has resulted in the mathematical modeling community to come together to produce a wide range of analyses, forecasting and scenario modeling efforts. In our work, we propose a novel approach by using Reinforcement Learning (RL) to answer the question: “What agent behaviours reduce the spread of Covid-19?”. This is done through creating Read More
Source: openaccessgovernment.org Designing robots to perform human tasks is one of the biggest challenges in robotics. Robotics researchers have attempted to solve problems of this sort for many years; however, only a small number of human tasks can be performed by robots thus far. This fact may seem strange, as humans are able to perform 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: openaccessgovernment.org Designing robots to perform human tasks is one of the biggest challenges in robotics. Robotics researchers have attempted to solve problems of this sort for many years; however, only a small number of human tasks can be performed by robots thus far. This fact may seem strange, as humans are able to perform 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: gizmodo.com.au When some people hear the term ‘artificial intelligence’ their initial reaction is to imagine a dystopian future where robots have risen up and overthrown humanity. The truth is, application of AI technology in our day-to-day lives is a lot less sinister. It might not be long before these technologies become common in our Read More
Source: aithority.com Cyber threats continue to escalate in both sophistication and volume. Traditional approaches to threat detection, however, are no longer sufficient to ensure protection. Correspondingly, machine learning (ML) has proven highly effective at identifying and warding off cyber attacks. Machine learning’s power is the result of three factors: data, compute power and algorithms. Due 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: venturebeat.com Researchers at the Allen Institute for AI today launched AllenAct, a platform intended to promote reproducible research in embodied AI with a focus on modularity and flexibility. AllenAct, which is available in beta, supports multiple training environments and algorithms with tutorials, pretrained models, and out-of-the-box real-time visualizations. Embodied AI, the AI subdomain concerning 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: techxplore.com Recent advancements in quantum computing have driven the scientific community’s quest to solve a certain class of complex problems for which quantum computers would be better suited than traditional supercomputers. To improve the efficiency with which quantum computers can solve these problems, scientists are investigating the use of artificial intelligence approaches. In a Read More
Source:-newsgram Researchers at Facebook AI have developed a home robot that can move through an unmapped environment to find a sound-emitting object, such as a phone ringing. Called ‘SoundSpaces,’ the first audio-visual platform for embodied AI can accomplish a task like checking to see whether you locked the front door or retrieving a cell phone Read More
Source:-telanganatoday This Research Fellowship provides a unique opportunity to carry out independent research, not necessarily attached to a single faculty lab, for PhDs who want to mature towards an independent research career. Hyderabad: The Robert Bosch Centre for Data Science and Artificial Intelligence (RBC DSAI) at IIT Madras has invited applications for its Post-Doctoral Fellowship. 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: digitalinformationworld.com Have you ever thought about an AI-based machine playing poker with you? If your imagination has gone that wild then Facebook is all set to make it a reality with its new general AI framework called Recursive Belief-based Learning (ReBeL) that can even perform better than humans in poker and with little domain knowledge as compared to Read More