No questions, the impression, and influence of artificial intelligence technology is profound.

Episode 2 looks at why #TRUST is important in #technologyadoption, why it is normal for humans to be wary of new technology and what is being done to develop trust in #artificialintelligence: #explainableai Keep the feedback coming. If you want to delve deeper into explainable AI check out my LinkedIn article: https://lnkd.in/eF76sAa Want to get a better understanding of difference between #AI vs #machinelearning vs #deeplearning vs #datasciences: https://lnkd.in/egeinvs

Classic cartoon-inspired video game'Cuphead,' made for Xbox One, PCs and Nintendo Switch will become a TV series on Netflix. Cuphead is making the move to Netflix. The acclaimed side-scrolling video game "Cuphead," inspired by cartoon classics of the Thirties, will become an animated Netflix TV series called "The Cuphead Show," the online video provider announced Tuesday. Like the video game, the TV comedy will star Cuphead and his brother Mugman. In the game, they have made a deal with the devil and must do his bidding.

We are interested in the task of generating multi-instrumental music scores. The Transformer architecture has recently shown great promise for the task of piano score generation; here we adapt it to the multi-instrumental setting. Transformers are complex, high-dimensional language models which are capable of capturing long-term structure in sequence data, but require large amounts of data to fit. Their success on piano score generation is partially explained by the large volumes of symbolic data readily available for that domain. We leverage the recently-introduced NES-MDB dataset of four-instrument scores from an early video game sound synthesis chip (the NES), which we find to be well-suited to training with the Transformer architecture. To further improve the performance of our model, we propose a pre-training technique to leverage the information in a large collection of heterogeneous music, namely the Lakh MIDI dataset. Despite differences between the two corpora, we find that this transfer learning procedure improves both quantitative and qualitative performance for our primary task.

Deep generative models for symbolic music are typically designed to model temporal dependencies in music so as to predict the next musical event given previous events. In many cases, such models are expected to learn abstract concepts such as harmony, meter, and rhythm from raw musical data without any additional information. In this study, we investigate the effects of explicitly conditioning deep generative models with musically relevant information. Specifically, we study the effects of four different conditioning inputs on the performance of a recurrent monophonic melody generation model. Several combinations of these conditioning inputs are used to train different model variants which are then evaluated using three objective evaluation paradigms across two genres of music. The results indicate musically relevant conditioning significantly improves learning and performance, and reveal how this information affects learning of musical features related to pitch and rhythm. An informal subjective evaluation suggests a corresponding improvement in the aesthetic quality of generations.

John Lennon and Paul McCartney were one of the Twentieth Century's most celebrated musical writing partnerships. Exactly what elements each of the pair contributed to their joint-credited hits has been a matter of much debate among fans, however. Now, researchers have used AI to work out which Beatle penned the music for a number of their most disputed songs. Scientists from Harvard and Dalhousie University in Canada trained their software using the Beatles back catalogue to recognise 137 unique musical patterns. These patterns, including notes, chords, and other musical motifs, were applied to eight disputed pieces of music to work out which of the Beatles wrote them.

Artificial Intelligence (AI) is poised to improve people's lives worldwide and accelerate progress on the United Nations Sustainable Development Goals (SDGs). Yet, AI can also bring with it a host of unintended consequences. One of the most pernicious areas could be AI's ability to spread misinformation at a pace and scale not seen before. At the recent AI for Good Global Summit, participants from academia, the United Nations, major media outlets and the private sector gathered to discuss the unintended consequences of AI and AI-powered misinformation. To be sure, AI has provided a wealth of task-facilitating tools for media and the field of journalism, where its impact can be seen in everything from the emergence of voice-recognition transcription tools to automatically generated content.

Newswire) VSBLTY Groupe Technologies Corp. (CSE: VSBY) (5VS.F) (VSBGF), a leading software technology company, was selected by Microsoft (MSFT) to join its elite group of global independent software vendors for intensive joint sales, support and go-to-market initiatives, according to an announcement made today by Jay Hutton, VSBLTY co-founder and CEO. Launched in 2016, Microsoft created its co-sell ready initiative under its Microsoft One program to provide comprehensive sales and marketing support for select partners. To be eligible for the go-to-market program, independent software vendors must submit customer references that demonstrate successful projects and meet a performance commitment in addition to passing sales and technology assessments. VSBLTY technology provides customer audience measurement using the power of machine learning through computer vision. Its industry leading VisionCaptor and DataCaptor combine motion graphics and interactive brand messaging with first of its kind Facialanalytics .

Earlier this month, an unexceptional thread appeared on Reddit announcing that there is a new way "to cook egg white[s] without a frying pan". As so often happens on this website, which calls itself "the front page of the internet", this seemingly banal comment inspired a slew of responses. "I've never heard of people frying eggs without a frying pan," one incredulous Redditor replied. "I'm gonna try this," added another. One particularly enthusiastic commenter even offered to look up the scientific literature on the history of cooking egg whites without a frying pan. Every day, millions of these unremarkable conversations unfold on Reddit, spanning from cooking techniques to geopolitics in the Western Sahara to birds with arms.