A software-related invention is likely to be patent eligible if the invention, as claimed, improves the functioning of a computer.

The ability to convert excess green electricity into hydrogen is projected to be a "game-changer", while AI algorithms – with their use within the'internet …

Al-Ansari is closely working with the Qatar Center for Artificial Intelligence (QCAI) at Qatar Foundation's Hamad Bin Khalifa University (HBKU) to develop …

HALIFAX, NS, Nov. 24, 2020 /CNW/ – Global Spatial Technology Solutions ("GSTS" or "the Company") an Artificial Intelligence (AI) and Maritime …

Researchers have developed artificial intelligence (AI) models that help them better understand the brain computations that underlie thoughts.

Machine learning: A breakthrough in the study of stellar nurseries. Date: November 24, 2020; Source: CNRS; Summary: Artificial intelligence can make it …

Artificial Intelligence Technology Solutions, Inc. (OTCPK:AITX) today announced that its wholly-owned subsidiary Robotic Assistance Devices (RAD) …

… company in the U.S., has expanded its contextual ad targeting with Magnite and PubMatic using GumGum’s Verity artificial intelligence (AI) product.

Making a slight mistake during live music performance can easily be spotted by an astute listener, even if the performance is an improvisation or an unfamiliar piece. An example might be a highly dissonant chord played by mistake in a classical-era sonata, or a sudden off-key note in a recurring motif. The problem of identifying and correcting such errors can be approached with artificial intelligence -- if a trained human can easily do it, maybe a computer can be trained to spot the errors quickly and just as accurately. The ability to identify and auto-correct errors in real-time would be not only extremely useful to performing musicians, but also a valuable asset for producers, allowing much fewer overdubs and re-recording of takes due to small imperfections. This paper examines state-of-the-art solutions to related problems and explores novel solutions for music error detection and correction, focusing on their real-time applicability. The explored approaches consider error detection through music context and theory, as well as supervised learning models with no predefined musical information or rules, trained on appropriate datasets. Focusing purely on correcting musical errors, the presented solutions operate on a high-level representation of the audio (MIDI) instead of the raw audio domain, taking input from an electronic instrument (MIDI keyboard/piano) and altering it when needed before it is sent to the sampler. This work proposes multiple general recurrent neural network designs for real-time error correction and performance aid for MIDI instruments, discusses the results, limitations, and possible future improvements. It also emphasizes on making the research results easily accessible to the end user - music enthusiasts, producers and performers -- by using the latest artificial intelligence platforms and tools.

Since the introduction of deep learning, researchers have proposed content generation systems using deep learning and proved that they are competent to generate convincing content and artistic output, including music. However, one can argue that these deep learning-based systems imitate and reproduce the patterns inherent within what humans have created, instead of generating something new and creative. This paper focuses on music generation, especially rhythm patterns of electronic dance music, and discusses if we can use deep learning to generate novel rhythms, interesting patterns not found in the training dataset. We extend the framework of Generative Adversarial Networks(GAN) and encourage it to diverge from the dataset's inherent distributions by adding additional classifiers to the framework. The paper shows that our proposed GAN can generate rhythm patterns that sound like music rhythms but do not belong to any genres in the training dataset. The source code, generated rhythm patterns, and a supplementary plugin software for a popular Digital Audio Workstation software are available on our website.