Source: itbrief.co.nz What do companies like Netflix, Airbnb, Spotify and Lyft know that you don’t know? What do these companies have that you might be lacking? Sure, they had an initial idea. But we’ve all had good ideas. How did each of these new market heroes move from the seed of an idea to the Read More
Tag: Reinforcement Learning
Source: When chasing a bouncing ball, a human will head where they anticipate the ball is going. If things change — for example a cat swats the ball and it bounces off in a new direction — the human will correct to an appropriate new route in real time. Robots can have a hard time Read More
Source: analyticsindiamag.com There are almost all the websites over the internet which display ads. The companies who wish to advertise their products, choose these web places as a medium of advertisement. The challenge is that if the company has a range of advertisement versions, which among these versions can get the highest conversion rate, i.e. Read More
Source: analyticsindiamag.com There are almost all the websites over the internet which display ads. The companies who wish to advertise their products, choose these web places as a medium of advertisement. The challenge is that if the company has a range of advertisement versions, which among these versions can get the highest conversion rate, i.e. Read More
Source: analyticsinsight.net Today machines can teach themselves based upon the results of their own actions. This advancement in Artificial Intelligence seems like a promising technology through which we can explore more innovative potentials of AI. The process is termed as deep reinforcement learning. Deep reinforcement learning, as defined by Bernard Marr, a well-known AI Influencer, is Read More
Source: venturebeat.com In a technical paper published on Arxiv.org this week, researchers at Facebook and Arizona State University lifted the hood on AutoScale, which shares a name with Facebook’s energy-sensitive load balancer. AutoScale, which could theoretically be used by any company were the code to be made publicly available, leverages AI to enable energy-efficient inference on smartphones and other edge Read More
Source: analyticsindiamag.com One of the popular AI research labs, OpenAI has been working tremendously in the domain of artificial intelligence, particularly on the grounds of neural networks, reinforcement learning, among others. Just a few days back, the AI lab introduced Microscope for AI enthusiasts who are interested in exploring how neural network work. And now the audio team of OpenAI Read More
Source: analyticsindiamag.com Reinforcement learning is one of the most happening domains within AI since the early days. The innovations are often ingenious, but we rarely see them in the real world. Robotics is one area where reinforcement learning is widely used, where robots usually learn novel behaviours through trial and error interactions. However, there are Read More
Source: analyticsindiamag.com As most workers in India make a harried transition to remote working amid Covid-19 lockdown, they are still getting acclimated to the modus operandi of freelancers. With only a handful of tools in their arsenal, freelance professionals master those tools, as a rule, to compete with full-time professionals as well as other gig Read More
Source: theengineer.co.uk AI 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 is more of a general term used to refer to several different technologies that enable systems to act intelligently. When it comes to Read More
Source: it.toolbox.com Overview of Image and Video Compression Image and video compression enables you to deliver high-quality media with lower storage and bandwidth requirements. It reduces the size of files, making media easier to transfer and cheaper to store. To understand how this works, consider any image. Within the image there are many pixels that Read More
Source: technologytimes.pk AI Needs To Be On the Edge In the age of innovation, as data continues to grow, there’s a real need for data storage and data computation to be located on the device. Privacy, security, and speed are the biggest reasons that the distributed Edge model can work better in certain use-cases. When Read More
Source: Along with unsupervised machine learning and supervised learning, another common form of AI creation is reinforcement learning. Beyond regular reinforcement learning, deep reinforcement learning can lead to astonishingly impressive results, thanks to the fact that it combines the best aspects of both deep learning and reinforcement learning. Let’s take a look at precisely how deep reinforcement learning operates. Note that this article won’t Read More
Source: devclass.com Google’s AI teams used the comparatively quiet post-easter days to get ML practitioners up to speed with their latest research in reinforcement learning, natural language processing, and computer vision. In “An optimistic perspective on offline reinforcement learning”, a team of researchers has looked into ways to use a fixed offline dataset of logged Read More
Source: gov.uk Our increasingly digitalised modern world produces more data in a wider variety of formats than ever before. Data science techniques allow us to process, analyse, gain insights and communicate results from this increasing volume of data. As part of our growth as a learning organisation, this is also a key area in which Read More
Source: theburnin.com Google is in the process of developing its own Pixel and Chromebook processors, reports Axios. The search engine has teamed with Samsung on a project called Whitechapel to make chipsets for its smartphones. The tech giant intends to release a handset powered by its new mobile CPU as soon as 2021, but its redesigned laptops won’t Read More
Source: asianscientist.com In a study published in IEEE Robotics and Automation Letters, researchers have shown that walking robots spontaneously developed coordinated limb control when trained using deep learning. Human motor control can execute complex movements naturally, efficiently and without much thought involved. This is because of motor synergy in the central nervous system (CNS), which Read More
Source: ibtimes.sg Artificial intelligence (AI) seems to be taking over the world and is even helping us combat the ongoing coronavirus pandemic, but so far it has been a product of human supervision – we teach computers to see patterns, just like we teach children to read. However, researchers believe the future of AI depends on systems Read More
Source: analyticsinsight.net Self-supervised learning is one of those recent ML methods that have caused a ripple effect in the data science network, yet have so far been flying under the radar to the extent Entrepreneurs and Fortunes of the world go; the overall population is yet to find out about the idea yet lots of AI society 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: dqindia.com ML algorithms allow us to model and predict Big Data behaviors based on historical data: looking back. But what if the historical database is not enough to model our problem? This is where the so-called reinforcement learning comes into account, and machines explore their environment while learning from scratch based on rewards and Read More
Source: unite.ai Creating an Artificial General Intelligence (AGI) is the ultimate endpoint for many AI specialists. An AGI agent could be leveraged to tackle a myriad of the world’s problems. For instance, you could introduce a problem to an AGI agent and the AGI could use deep reinforcement learning combined with its newly introduced emergent consciousness to Read More
Source: infoq.com Uber andOpenAI have open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to leverage heterogeneous computing hardware, dynamically scale algorithms, and reduce the burden on engineers implementing complex algorithms on clusters. It’s a challenge for machine learning 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: middleeastheadlines.com Often it feels like every internet site, application, or maybe efficiency device is mentioning Artificial Intelligence 101 (AI) as the top-secret component for their financial success. What’s even less frequent is a breakdown of what Artificial Intelligence is, the reason that it’s so great, and even the way service providers are taking advantage 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: engineering.com A new simulation system allows driverless vehicles to be trained in an environment with infinite steering possibilities. While autonomous vehicles typically rely on datasets from real-world human drivers, simulated testing opens up opportunities for cars to encounter and navigate through a variety of worst-case scenarios before they’re even released out on the streets. Read More
Source: somagnews.com Artificial intelligence is used in many areas from games to smart phones today. That’s why developers are more focused on new AI designs. In fact, Google is now used to make artificial intelligence algorithms for artificial intelligence algorithms. The artificial intelligence silicon design handled by Google is defined as a subset of the Read More
Source: itprotoday.com When it comes to machine learning, supervised learning has long been the superstar. But recent advancements and emerging enterprise applications are putting new attention on reinforcement learning. In an analysis of more than 16,000 artificial intelligence (AI) research papers undertaken by MIT’s Technology Review, reinforcement learning emerged as one of the leading trends in the past Read More
Source: technologynetworks.com A simulation system invented at MIT to train driverless cars creates a photorealistic world with infinite steering possibilities, helping the cars learn to navigate a host of worse-case scenarios before cruising down real streets. Control systems, or “controllers,” for autonomous vehicles largely rely on real-world datasets of driving trajectories from human drivers. From Read More