The 1.5 meter, silvery gray velociraptor lunges forward, interrupting the flight of the tennis ball with its head before the ball can get to the soccer net at the end of the gym. Its tail stretches out, stopping another ball. It pivots, somewhat clumsily, and runs three steps in the other direction to intercept a third ball. Robots building Teslas aren't as sophisticated as AI velociraptors that tend goals It's been doing this for an hour, running back and forth as a trio of tennis ball machines toss yellow balls in various loopy ways toward the net. It's a game that its creators have invented to rapidly improve its coordination. But then it stops trying to intercept the balls, although it still twitches toward them.
This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn't a particularly novel architecture – it's architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we'll look at the architecture that enabled the model to produce its results. We will go into the depths of its self-attention layer. My goal here is to also supplement my earlier post, The Illustrated Transformer, with more visuals explaining the inner-workings of transformers, and how they've evolved since the original paper. My hope is that this visual language will hopefully make it easier to explain later Transformer-based models as their inner-workings continue to evolve.
OpenAI has come up with a new robot capable of solving a Rubik's Cube with a single hand. The AI-based company trained neural networks in simulation using reinforcement learning to make this achievement possible. The company has been working on this project since May 2017 and has now achieved its goal marking this as a milestone towards its progress in the field of AI. The time taken by the robotic hand varies depending on how the cube is shuffled but on average, it takes about four minutes to solve the puzzle. However, it is worth noting that this is not the first-ever robot that managed to solve the Rubik's cube.
Swipe right for "would like to meet", left for "wouldn't". Seven years after Tinder made choosing a date as simple as flicking your thumb across a smartphone screen, it is by far the most-used dating app in the UK and the US. Downloaded 300m times and with more than 5 million paying subscribers, it is the highest-grossing app of any kind in the world, according to the analysts App Annie. For Americans, apps and online dating are the most common way to meet a partner. "It's an amazing responsibility, and an amazing privilege," says Elie Seidman, Tinder's 45-year-old chief executive.
Since time immemorial, sound has been a key source of communication within nature. Birds, bees, whistle of the foliage, thunder, the whisper of air, dolphins speaking underwater and many more such forms of sound are some of the visible examples created by nature, with well-defined purposes. If one were to meander through a dense, human uninhabited forestland, and tip toe in silence, the various forms of the above sounds can be experienced in its raw form, and is a fascinating raw, musical experience! A music that does not have a well-defined structure, but nevertheless, an experience worth savouring! We all know that sound and its associated emotions has been a primary source of human communication.
The amusement as well as media (E&M) business is actually a diverse sector composed of several segments such as media, television, and film streamed online. By 2021, the U.S. E&M business is projected to reach $759 billion in revenue, increasing at a compound annual growth rate (CAGR) of 3.6 percent. Despite the anticipated growth, there are concerns about a revenue declines in more traditional market segments. Being a result, business analysts like PwC argue that user experience need to take going up priority and AI is actually among top emerging technologies poised to positively add to our energy. Within this document we break down uses of artificial intelligence of the entertainment as well as media business market to offer company leaders with an understanding of present and emerging trends that could influence the sector of theirs.
Leading political figures and business professionals joined forces at PRS for Music's King's Cross headquarters to examine what Artificial Intelligence (AI) means for music creators today and how it may shape the future industry. Led by Emma McClarkin, former MEP and technology and international trade specialist, a panel including Lydia Gregory, classical singer and co-founder of creative services company, FeedForward AI, and Matthew Hawn, Chief Product Officer at Audio Network delved into the topic and discussed the creative limits of a machine, whether AI, specifically Artificial General Intelligence (AGI), is a disruptive force that unsettles the already complex world of music or does it create new opportunities for creators? Emma McClarkin said: "Technology is changing the world we live in, from the way we discover music to its creation, AI will bring innovation but also big questions for the industry. Just as the UK leads in music so we should in our understanding of AI and the impact it could have." AGI could have the capacity to understand or learn any intellectual task that a human being can.
Plastic Dinosaur's normal living space is a big warehouse with a lot of interesting features for it to clamber over and peer behind. But it's noticed that the bipeds he shares the space with come and go through parts of the barriers that contain him. He's noticed that they can swing part of the barrier open, pass through the opening and then the barrier closes behind them. He's seen space behind the barriers that he hasn't explored. Plastic Dinosaur wanders over to the door, peering at things as he goes to see if anything more interesting shows up.