Much of the remarkable progress in computer vision has been focused around fully supervised learning mechanisms relying on highly curated datasets for a variety of tasks. In contrast, humans often learn about their world with little to no external supervision. Taking inspiration from infants learning from their environment through play and interaction, we present a computational framework to discover objects and learn their physical properties along this paradigm of Learning from Interaction. Our agent, when placed within the near photo-realistic and physics-enabled AI2-THOR environment, interacts with its world and learns about objects, their geometric extents and relative masses, without any external guidance. Our experiments reveal that this agent learns efficiently and effectively; not just for objects it has interacted with before, but also for novel instances from seen categories as well as novel object categories.

This study explores the interference in temporal processing within a dual-task paradigm from an artificial intelligence (AI) perspective. In this context, the dual-task setup is implemented as a simplified version of the Overcooked environment with two variations, single task (T) and dual task (T+N). Both variations involve an embedded time production task, but the dual task (T+N) additionally involves a concurrent number comparison task. Two deep reinforcement learning (DRL) agents were separately trained for each of these tasks. These agents exhibited emergent behavior consistent with human timing research. Specifically, the dual task (T+N) agent exhibited significant overproduction of time relative to its single task (T) counterpart. This result was consistent across four target durations. Preliminary analysis of neural dynamics in the agents' LSTM layers did not reveal any clear evidence of a dedicated or intrinsic timer. Hence, further investigation is needed to better understand the underlying time-keeping mechanisms of the agents and to provide insights into the observed behavioral patterns. This study is a small step towards exploring parallels between emergent DRL behavior and behavior observed in biological systems in order to facilitate a better understanding of both.

USA TODAY's Ed Baig looks at the top Tech trends to watch for in 2018. Visitors walk past a 5G logo during the Mobile World Congress in Barcelona, on March 1, 2017. Blistering fast wireless networks, digital assistants that are, well, everywhere, and a coming out bash for augmented reality. These and other technologies mentioned here, some of which are already familiar but really just getting started, are worth keeping an eye on in 2018. You can bet we'll also learn about innovations in the months to come that are for now, completely under the radar.

AAAI: It's Time for Large-Scale Systems The most important challenge facing AI today is enabling components to interact in larger scale systems, where modules built with multiple alternative methodologies can be incorporated into robust applications. The infrastructure--computing power, memory, bandwidth, and connectivity--has evolved dramatically. Important theoretical advances have been made in areas such as machine learning, natural language, knowledge representation, task descriptions, sensing, and action in the world. Once again there is substantial demand for AI applications from customers such as DARPA, with a requirement to solve real problems. We need to find ways making AI components interact in larger scale systems.

Although one of the fundamental goals of AI is to understand and develop intelligent systems that have all the capabilities of humans, there is little active research directly pursuing this goal. We propose that AI for interactive computer games is an emerging application area in which this goal of human-level AI can successfully be pursued. Interactive computer games have increasingly complex and realistic worlds and increasingly complex and intelligent computer-controlled characters. In this article, we further motivate our proposal of using interactive computer games for AI research, review previous research on AI and games, and present the different game genres and the roles that human-level AI could play within these genres. We then describe the research issues and AI techniques that are relevant to each of these roles.

Artificial Intelligence (AI) has gained worldwide exposure over the years through Hollywood, including the recent blockbuster movies such as Alien: Covenant and Blade Runner 2049. While androids like those depicted in the movies are nothing but science fiction at this point in time, we are seeing the increasingly advanced application of AI incorporate mainstream computing. In this post, we examine how website development is benefiting from artificial intelligence (AI), as well as some unique integration challenges. Modern mainstream website development has focused on the building of a customer-facing front-end presence on the Internet and the integration of the front-end with enterprise back-office operations. Drupal is an industry-leading open-sourced platform for building such enterprise websites.

Artificial intelligence is the next strong phase of technology innovation around the world. It has generated momentum in startups and established businesses, as the gold-rush across a number of sectors continues. AI will have a huge impact on a number of industries, such as health, education, transport, energy. It has and will also spawn many new businesses. Apple, Google and Amazon already use AI to provide a much enhanced customer experience.

More than a decade ago, Sony stunned the world with the release of Aibo, an artificially intelligent robot that behaved like a real dog. But the robo-dogs were discontinued in 2006 as part of a massive cost-cutting scheme from the Japanese technology giant. Now, Sony has revived Aibo, a robot that learns how to interact with its owner and is'capable of building loving relationships', according to Sony CEO Kazuo Hirai. The new version of the 30-centimetre (one foot) hound will launch in Japan in January but will not come cheap, priced at around £1,300 ($1,750). Sony has revived Aibo, a robot that learns how to interact with its owner and is'capable of building loving relationships', according to Sony CEO Kazuo Hirai.

Modes of automation or artificial intelligence (AI) have been used by organizations for years. The concept goes back to the 1950s, according to Brian Kalis, managing director of digital health at Accenture, a business management consulting firm based in Boston. Healthcare IoT has the potential to greatly improve patient care – but it's not without its challenges. Download this essential guide in one PDF and learn how to overcome the obstacles: security, data overload, regulations, and more. You forgot to provide an Email Address.

There's a lot of high-brow, abstract talk about privacy and personal data. SEE ALSO: Moscow's facial recognition CCTV network is the biggest example of surveillance society yet But when it comes to our personal experience with it, all we usually get is a long, boring, overlooked list of conditions that nobody reads before signing up to Facebook or other social media giants. Do we truly understand what part of our digital footprint is owned by these companies? That's why the Glass Room, which just opened in central London, is important. At first sight, it's just another all-white, sleek, shiny, minimalist pop-up tech store, with massive windows overlooking central London and interactive handsets methodically placed in tactical positions.