This paper introduces a system that learns to sing new tunes by listening to examples. It extracts sequencing rules from input music and uses these rules to generate new tunes, which are sung by a vocal synthesiser. We developed a method to represent rules for musical composition as quantum circuits. We claim that such musical rules are quantum native: they are naturally encodable in the amplitudes of quantum states. To evaluate a rule to generate a subsequent event, the system builds the respective quantum circuit dynamically and measures it. After a brief discussion about the vocal synthesis methods that we have been experimenting with, the paper introduces our novel generative music method through a practical example. The paper shows some experiments and concludes with a discussion about harnessing the creative potential of the system.

The AI-powered music-making app business is hotting up. In May, music-making platform Splice, reported to be valued at nearly $500 million, launched an artificial intelligence-powered music app called CoSo, which uses what Splice calls its'Complementary Sounds' AI technology to create music "in split-seconds". Bandlab, meanwhile, the social music-making platform that recently raised $65 million, has an AI-powered app called SongStarter that, it claims, can "generate royalty-free music in seconds". Could TikTok and parent ByteDance be one of the sector's next major players? Back in July 2019, ByteDance acquired Jukedeck, a UK-based AI Music startup that specialized in creating royalty-free music for user-generated online videos.

Contrary to humans, machine learning models find it incredibly challenging to handle problems involving differential equations, linear algebra, …

… theoretical computer science and machine learning for new algorithmic paradigms to deal with dynamic and sensitive data in an ethical way; …

In artist Miao Ying's animated film Surplus Intelligence, a cockroach falls in love with the artificial intelligence responsible for monitoring her behavior. There's only one problem: The AI, personified as a man with movie-star looks, committed a crime in Walden XII, the quasi-medieval fantasyland where the story is set. He stole the village's power stone, and so the roach sets off to mine bitcoin to save him. Viewers might see in the plot a metaphor for the conflicted relationship some Chinese people have with social credit scoring, which is meant to nudge citizens toward better behavior. Or it could be a nod to the insidious ways social media platforms like Twitter and Facebook condition our behavior and mine us for data.

Prof. Sihong Wang shows a single neuromorphic device with three electrodes. Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME) have developed a flexible, stretchable computing chip that processes information by mimicking the human brain. The device, described in the journal Matter, aims to change the way health data is processed. "With this work we've bridged wearable technology with artificial intelligence and machine learning to create a powerful device which can analyze health data right on our own bodies," said Sihong Wang, a materials scientist and Assistant Professor of Molecular Engineering. Today, getting an in-depth profile about your health requires a visit to a hospital or clinic. In the future, Wang said, people's health could be tracked continuously by wearable electronics that can detect disease even before symptoms appear.

INTERVIEW with Bárbara Yuste, Director of Communication and Stakeholder Relations at GroupM Spain, who has just published the book "Communication in Times of algorithms", Ediciones Pirámide. What challenges do they face? Technology has completely changed the scenario in which companies have to operate today. Digitization has had an impact on different areas, not just business, of organizations and they have to assume this transformation naturally and with the ability to make the most of it. From the point of view of communication, which is what my book is about, the main challenge is to embrace change and incorporate the most disruptive technologies into the communication strategy to make it more effective.

You are free to share this article under the Attribution 4.0 International license. Although artificial intelligence has a growing role in journalism, research finds that Americans don't know about AI's role in their lives--or their news. Technology has repeatedly transformed the news media industry--telegraph, radio, television, and then the internet. Yet despite these evolutions, technology remained the medium and human journalists the messengers. The introduction of AI has changed that model.

Diarization partitions an audio stream into segments based on the voices of the speakers. Real-time diarization systems that include an enrollment step should limit enrollment training samples to reduce user interaction time. Although training on a small number of samples yields poor performance, we show that the accuracy can be improved dramatically using a chronological self-training approach. We studied the tradeoff between training time and classification performance and found that 1 second is sufficient to reach over 95% accuracy. We evaluated on 700 audio conversation files of about 10 minutes each from 6 different languages and demonstrated average diarization error rates as low as 10%.

When building machine learning models or algorithms, developers should adhere to the principle of interpretability so that they and their intended …