Demis Hassabis, co-founder and CEO of DeepMind, said: Games and simulations have been a core part of DeepMinds research programme from the very beginning and this approach has already led to significant breakthroughs in AI research. As a former video game designer myself, I couldnt be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems. Unity is no stranger to forging thought-leadership in the AI field. In combination with the ML-Agents toolkit, Unity is quickly becoming the platform of choice for the development of intelligent agents. The Unity engine can create the massive simulations needed by researchers to study autonomous artificial agents and develop new kinds of algorithms, which will influence fundamental AI research in areas including robotics, autonomous vehicle development, and many other areas of science and technology.

DeepMind, part of Google parent company Alphabet, is going big on virtual world AI training through a deal with game-making software provider Unity Technologies (which powers games like Monument Valley and Pokémon Go). DeepMind will run the software at a giant scale to train algorithms in physics-realistic environments–part of a growing trend in AI. Game engines like Unity or Unreal provide customizable settings for advanced AI techniques such as reinforcement learning (a kind of machine learning), in which an algorithm pursues a goal through trial and error until it's been mastered. "Games are in many, many ways . . . "You get the visual, the physics, the cognitive, and . . . the social aspect–the interaction."

Alphabet Inc.'s artificial intelligence group DeepMind Technologies Ltd. said today it will research AI agents with 3-D game development company Unity Technologies Inc., which made the engine for the popular Pokemon Go game. The two companies plan to create a virtual test ground for AI agents that may eventually be used in fields such as autonomous driving and robotics. "DeepMind researchers are trying to crack huge AI problems and Unity provides them with a solution of creating complex virtual environments that will enable the development of algorithms capable of learning to solve complex tasks across diverse environments," Danny Lange, vice president of machine learning and AI at Unity Technologies, said in a statement. "We believe the future of AI is being forged by increasingly sophisticated human-machine interactions, and Unity is proud to be the engine that is enabling these interactions." DeepMind, thanks to its backing from Google-parent Alphabet Inc., has established itself as one of the leading organizations working in AI field, having published more than 200 peer-reviewed papers on the subject in journals such as Nature and Science.

Demis Hassabis, co-founder and CEO of DeepMind, said: "Games and simulations have been a core part of DeepMind's research programme from the very beginning and this approach has already led to significant breakthroughs in AI research. As a former video game designer myself, I couldn't be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems." Unity is no stranger to forging thought-leadership in the AI field. In combination with the ML-Agents toolkit, Unity is quickly becoming the platform of choice for the development of intelligent agents. The Unity engine can create the massive simulations needed by researchers to study autonomous artificial agents and develop new kinds of algorithms, which will influence fundamental AI research in areas including robotics, autonomous vehicle development, and many other areas of science and technology.

They released the StarCraft II Learning Environment last year https://github.com/deepmind/pysc2

The list of top most widely used search platform for artificial-intelligence where it is possible to learn and research the latest research. OpenAI can be currently a non profit synthetic intelligence (AI) investigation corporation, correlated with firm magnate Elon Musk, which intends to cautiously advertise and acquire beneficial AI such ways as to profit, as opposed to injury, humankind for a whole. The company intends to"publicly collaborate" together along with different associations and research workers from using its rivals and explore receptive for the general public. More than US$ inch billion in obligations support the business . The creators have been prompted by problems regarding hazard.

Alphabet's DeepMind division is partnering with Unity to accelerate machine learning and artificial intelligence (AI) research. The collaboration will focus on "virtual environments" that DeepMind and others can use to test and visualize experimental algorithms. Otherwise, little is known about the partnership. Today's announcement is basically a broad agreement, or statement of intent, between the two companies. "I couldn't be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems," Demis Hassabis, co-founder and CEO of DeepMind said in a press release light on detail.

Zero-shot learning (ZSL) is concerned with the recognition of previously unseen classes. It relies on additional semantic knowledge for which a mapping can be learned with training examples of seen classes. While classical ZSL considers the recognition performance on unseen classes only, generalized zero-shot learning (GZSL) aims at maximizing performance on both seen and unseen classes. In this paper, we propose a new process for training and evaluation in the GZSL setting; this process addresses the gap in performance between samples from unseen and seen classes by penalizing the latter, and enables to select hyper-parameters well-suited to the GZSL task. It can be applied to any existing ZSL approach and leads to a significant performance boost: the experimental evaluation shows that GZSL performance, averaged over eight state-of-the-art methods, is improved from 28.5 to 42.2 on CUB and from 28.2 to 57.1 on AwA2.

This week, Elon Musk praised the work of OpenAI after a team of five neural networks had defeated five humans, who ranked in the top 99.95 percentile of players worldwide, in the popular game Dota 2. The five bots had learned the game by playing against itself at a rate of a staggering 180 years per day. The game requires strong teamwork among the five players and, therefore, the achievement is quite remarkable and more evidence that artificial intelligence (AI) is rapidly becoming more advanced. However, directly after the five bots beat the five humans 2-1, Musk cautioned for the power of AI by urging that OpenAI should focus on AI that works with humans, instead of against humans. His statement is in line with his previous warnings for AI, which Musk believes could result in a robot dictatorship or an AI-arms race amongst superpowers that could be the most plausible cause for World War III. With artificial intelligence becoming increasingly sophisticated, also the warnings against AI become more pervasive, and the question remains then, is AI good or bad?