If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Shimon the singing songwriting robot has been taught to write his own lyrics by studying tens of thousands of songs written by the musical greats. Developed by researchers from the Georgia Tech Center for Music Technology, the robot collaborates with human musicians and even has an album out in the spring. The robot was given a dataset of 50,000 lyrics covering all genres including rock, hip-hop, jazz and progressive as part of its song writing education. As well as writing the lyrics the robot can sing them and dance while performing with'his band' made up of Georgia Tech students and researchers. Professor Gil Weinberg, creator of Schimon said he works with humans to create music, they are a mixture of songs made by human and robot together.
AI has proven to have a considerable impact on some major industries. While autonomous cars and virtual assistants are slowly becoming a reality, the creative industry has been experimenting with AI for several years already. Does it have meaningful implications and if so, what will it bring in the future? Utilizing the interconnection between mathematics and music, Hiller was able to program the computer to come up with a stunning four-piece musical score. One of the most notable AI-assisted music projects happened two years ago.
In November, the musician Grimes made a bold prediction. "I feel like we're in the end of art, human art," she said on Sean Carroll's Mindscape podcast. "Once there's actually AGI (Artificial General Intelligence), they're gonna be so much better at making art than us." Her comments sparked a meltdown on social media. The musician Zola Jesus called Grimes the "voice of silicon fascist privilege."
In October last year, for example, AI-generated art hit the headlines when auction house Christie's New York sold an AI-created artwork for $432,000. AI is also being used in music production, with a new industry being built around the use of AI in music. The musician Taryn Southern has used an artificial intelligence platform called Amper to create an entire album, called I AM AI. The album was the first LP to be entirely composed and produced using AI. A patented AI system called "DABUS", created by Dr Stephen Thaler, can devise and develop new ideas.
The Artificial Intelligence Takeover Whether as collaborators or on their own, artificial intelligence programs made a huge impact on music this year, one that's only going to evolve moving forward YACHT handed full control of their album'Chain Tripping' to an artificial intelligence. Photo: Mitchell Davis Published Dec 12, 2019 Humans are born to collaborate; we can't help but bounce our ideas off someone else every once in a while. An entirely new musical partner has been emerging recently, however, and it's not human. Artificial intelligence has played a significant role in music this year, and its influence is likely to spread over the coming years. If Grimes' recent comments are anything to go by, then A.I. and other technological advancements are soon going to make live music obsolete -- although we're not too sure about that.
In this paper a new formulation of event recognition task is examined: it is required to predict event categories in a gallery of images, for which albums (groups of photos corresponding to a single event) are unknown. We propose the novel two-stage approach. At first, features are extracted in each photo using the pre-trained convolutional neural network. These features are classified individually. The scores of the classifier are used to group sequential photos into several clusters. Finally, the features of photos in each group are aggregated into a single descriptor using neural attention mechanism. This algorithm is optionally extended to improve the accuracy for classification of each image in an album. In contrast to conventional fine-tuning of convolutional neural networks (CNN) we proposed to use image captioning, i.e., generative model that converts images to textual descriptions. They are one-hot encoded and summarized into sparse feature vector suitable for learning of arbitrary classifier. Experimental study with Photo Event Collection and Multi-Label Curation of Flickr Events Dataset demonstrates that our approach is 9-20% more accurate than event recognition on single photos. Moreover, proposed method has 13-16% lower error rate than classification of groups of photos obtained with hierarchical clustering. It is experimentally shown that the image captions trained on Conceptual Captions dataset can be classified more accurately than the features from object detector, though they both are obviously not as rich as the CNN-based features. However, it is possible to combine our approach with conventional CNNs in an ensemble to provide the state-of-the-art results for several event datasets.
Prior to becoming a full-time musician, Grimes learned how to use the production software Logic for her neuroscience studies at Montreal's McGill University. The Vancouver native brought her unique perspective to Sean Carroll's Mindscape podcast, where she spoke about artificial intelligence's growing capacity to create music. "I feel like we're in the end of art, human art." said Grimes, who is now going by the name c in reference to the speed of light. "Once there's actual AGI (Artificial General Intelligence), it's gonna be so much better at making art than us… Once AI can totally master science and art, which could happen in the next 10 years, probably more like 20 or 30 years." She also predicted that AI will reach a point when it will be building and creating art for itself.
This article is part of New York's Future Issue, a collection of predictions about the near future as seen through the recent past. Click here to read more. On June 21, 2017, electronic musician Holly Herndon and her husband, writer/philosopher/teacher Mat Dryhurst, welcomed a new addition to their family. "She's an inhuman child," Herndon tells me one afternoon, while seated in the offices of her record label, 4AD. Spawn is nascent machine intelligence, or AI.
The use of artificial intelligence is set to revolutionize how people create music but still, robots will not replace humans in the art of making melodies, attendees of a conference about art and music were told on Sunday. "Artificial intelligence will not replace good artists and composers," François Pachet, a scientist, composer and the director of the Spotify Creator Technology Research Lab, told participants of the TechnoArt 2019 conference in Tel Aviv. "AI will change the way people make art, but it won't replace them." Pachet is considered a pioneer of computer music, and specifically its interaction with AI. At Spotify he leads development of AI-based tools for musicians.
It's no longer a secret that artificial intelligence (AI) is here to stay. What once was a puzzling and rather niche area of computer science, has suddenly started to take over our lives with its many applications. As a result, due to this mysterious and unknown characteristic of AI and its more prominent child, machine learning, news sites, and the press, in general, have taken a liking on overstating the reality behind the successes or advances in the field. This phenomenon often leads to articles of an unsavory nature that seems to sensationalize and even fearmonger what's genuinely going on. In this essay, I want to shed some light on this issue.