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: DeepMind
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Source: analyticsinsight.net DeepMind is one of the companies that are leading the AI charge and coming up with innovative uses of AI. This London-based AI lab has been under the umbrella of Alphabet since the latter acquired it in January 2014. While Google’s AI ventures have been keeping it running, DeepMind is most helpful when it comes to Read More
Source: singularityhub.com When Deep Blue defeated world chess champion Garry Kasparov in 1997, it may have seemed artificial intelligence had finally arrived. A computer had just taken down one of the top chess players of all time. But it wasn’t to be. Though Deep Blue was meticulously programmed top-to-bottom to play chess, the approach was too labor-intensive, 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: forbes.com When it comes to AI, much of the attention has been on deep learning. And for good reason. This part of the AI world has seen great strides, such as with image recognition. But of course, there are other areas of AI that look promising, such as reinforcement learning. Keep in mind that cutting-edge companies like Read More
Source: venturebeat.com DeepMind, the Alphabet-backed machine learning lab that’s tackled chess, Go, Starcraft 2, Montezuma’s Revenge, and beyond, believes the board game Diplomacy could motivate a promising new direction in reinforcement learning research. In a paper published on the preprint server Arxiv.org, the firm’s researchers describe an AI system that achieves high scores in Diplomacy while yielding “consistent improvements.” AI Read More
Source: optocrypto.com There are other areas of AI that look promising, such as Deep Learning. Remember that top companies like Google’s DeepMind and OpenAI are already working on this approach. Making the breakthrough. So what is Deep Learning? Well, interestingly, it’s not new. “Deep learning is a classic behavioral phenomenon widely known in the psychological literature Read More
Source: venturebeat.com DeepMind this week released Acme, a framework intended to simplify the development of reinforcement learning algorithms by enabling AI-driven agents to run at various scales of execution. According to the engineers and researchers behind Acme, who coauthored a technical paper on the work, it can be used to create agents with greater parallelization than in previous approaches. Reinforcement Read More
Source: analyticsindiamag.com Reinforcement Learning has become the base approach in order to attain artificial general intelligence. The ICLR (International Conference on Learning Representations) is one of the major AI conferences that take place every year. With more than 600 interesting research papers, there are around 44 research papers in reinforcement learning that have been accepted in this year’s Read More
Source: fresnobserver.com Revenue inequality is among the overarching issues of economics. Some of the efficient instruments policymakers have to handle its taxation: governments acquire cash from folks in line with what they earn and redistribute it both immediately, by way of welfare schemes, or not directly, by utilizing it to pay for public initiatives. However, Read More
Source: venturebeat.com In a paper published this week on the preprint server Arxiv.org, scientists at DeepMind introduce the idea of simple sensor intentions (SSIs), a way to reduce the knowledge needed to define rewards (functions describing how AI ought to behave) in reinforcement learning systems. They claim that SSIs can help to solve a range of complex robotic tasks Read More
Source: analyticsindiamag.com Recently, researchers at Alphabet’s DeepMind and the University of California, Berkeley proposed an AI framework for comparing child and AI agent behaviours and hence developing new exploration techniques. While developing a reinforcement learning agent, there are several questions related to the exploring behaviour that comes into the mind of researchers — how should an agent gather enough experience Read More
Source: eurekalert.org A new machine learning tool can calculate the energy required to make — or break — a molecule with higher accuracy than conventional methods. While the tool can currently only handle simple molecules, it paves the way for future insights in quantum chemistry. “Using machine learning to solve the fundamental equations governing quantum Read More
Source: venturebeat.com In a paper originally published last October and accepted to the International Conference on Learning Representations (ICLR) 2020, researchers affiliated with Google and the University College London propose an AI model that enables control of speech characteristics like pitch, emotion, and speaking rate with as little as 30 minutes of data. The work has obvious commercial Read More
Source: analyticsinsight.net In the past few years, machine learning has highlighted the strength of information technology in discovering the fundamentals of life and the environment. With the volume of data generated every day, it has become necessary to acknowledge smart analysis solutions to know more about the world we live in. In particular, machine learning Read More
Source: chess.com Making an appearance in Lex Fridman’s Artificial Intelligence Podcast, DeepMind’s David Silver gave lots of insights into the history of AlphaGo and AlphaZero and deep reinforcement learning in general. Today, the finals of the Chess.com Computer Chess Championship (CCC) start between Stockfish and Lc0 (Leela Chess Zero). It’s a clash between a conventional chess engine that implements an advanced Read More
Source: Artificial Intelligence can now beat all 57 Atari 2600 games. Alphabet subsidiary DeepMind has revealed that their Agent57 can beat humans on the classic 1977 console. This is pretty big news, but not unsurprising. A.I. has been heading this way for quite a while, especially after supercomputer AlphaGo won the final match against the best Read More
Source:inverse.com You might think you’re good at Atari games, but a new artificial intelligence system from Alphabet subsidiary DeepMind called Agent57 is probably better. The company claims its A.I. can beat the average person on all 57 Atari 2600 games. Agent57 uses a type of machine learning called deep reinforcement learning to learn from its Read More
Source: venturebeat.com In a preprint paper published this week by DeepMind, Google parent company Alphabet’s U.K.-based research division, a team of scientists describe Agent57, which they say is the first system that outperforms humans on all 57 Atari games in the Arcade Learning Environment data set. Assuming the claim holds water, Agent57 could lay the groundwork Read More
Source: fortune.com One of the most promising approaches to artificial intelligence is to try to mimic how the human brain works in software. But now an Australian startup has gone a step further. It’s actually building miniature disembodied brains, using real, biological neurons embedded on a specialized computer chip. Cortical Labs, based in Melbourne, is hoping Read More
Source: technologytimes.pk In “Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games,” DeepMind — the research division of Alphabet whose work chiefly involves reinforcement learning, an area of AI concerned with how software agents ought to take actions to maximize some reward — introduces an economic competition model with a peer-to-peer contract mechanism that enables the discovery and enforcement Read More
Source: interestingengineering.com To provide sorely-needed, actionable information on COVID-19, Google’s AI unit — called Deepmind — has released predictions found with a deep learning system that sheds light on how the deadly coronavirus’ protein structure develops. Predicting the future of COVID-19 The growing threat of the novel coronavirus has pushed the tone of reports surrounding COVID-19 to a fever pitch, with misguided Read More
Source: analyticsinsight.net Artificial Intelligence has progressed immensely in the past few years. From being just a fiction context to penetrating into the regular lives of people, AI has brought transformation in several ways. Such advancements are an output of various factors that include the application of new statistical approaches and enhanced computing powers. However, according Read More
Source: analyticsindiamag.com AI research startup DeepMind has now open-sourced new libraries for neural networks and reinforcement learning based on JAX. JAX is a numerical computing library launched by Google a couple of years ago, and can automatically differentiate native Python and NumPy functions. JAX uses XLA (Accelerated Linear Algebra) to compile and run your NumPy programs Read More
Source: venturebeat.com Reinforcement learning, which spurs AI to complete goals using rewards or punishments, is a form of training that’s led to gains in robotics, speech synthesis, and more. Unfortunately, it’s data-intensive, which motivated research teams — one from Google Brain (one of Google’s AI research divisions) and the other from Alphabet’s DeepMind — to prototype more Read More
Source: venturebeat.com Robots perform better at a range of tasks when they draw on a growing body of experience. That’s the assertion of a team of researchers hailing from DeepMind, who in a preprint paper propose a technique called reward sketching. They claim it’s an effective way of eliciting human preferences to learn a reward function — Read More
Source: analyticsinsight.net We usually hear a lot about human-level AI or artificial intelligence but little do we realize that the human mind and AI are actually quite interlinked. The brain’s neural network and artificial neural network possess some similarities between themselves. Both are trained on data, while the brain learns from real-life data and experiences Read More
Source: mobihealthnews.com A study published in Nature has demonstrated how artificial intelligence (AI) research can drive and accelerate new scientific discoveries. Alphabet subsidiary DeepMind has created a dedicated, interdisciplinary team to explore using AI to predict the 3D structure of a protein based solely on its genetic sequence. Its system, AlphaFold, builds on prior research using large genomic Read More
Source:bdtechtalks.com Two separate studies, one by UK-based artificial intelligence lab DeepMind and the other by researchers in Germany and Greece, display the fascinating relations between AI and neuroscience. As most scientists will tell you, we are still decades away from building artificial general intelligence, machines that can solve problems as efficiently as humans. On the path to Read More