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Music Genre Classification using Machine Learning


What is powering the onslaught of Artificial Intelligence in every industry across the world? In very simple words, you teach the machine how to derive results. The results purely depend on algorithms used and the data that is poured to train/teach the machine. Machine learning is being used to power recommendation systems, audio/video classification software, autonomous driving, and many more industrial processes. There are 97 million songs in the world, now these are just the songs that are documented.

Unveiling Unexpected Training Data in Internet Video

Communications of the ACM

During training, the squared L2 error between the clean spectrogram and the predicted spectrogram is used as a loss function to train the network. At inference time, our separation model can be applied to arbitrarily long segments of video and varying numbers of speakers. The latter is achieved by either directly training the model with multiple-input visual streams (one for speaker), or simply by feeding the visual features of the desired speaker to the visual stream. For full details about the architecture and training process, see our full paper.15

Top 70+ Data Science Interview Questions and Answers for 2021


We can see Pr value here, and there are three stars associated with this Pr value. This basically means that we can reject the null hypothesis which states that there is no relationship between the age and the target columns. But since we have three stars over here, this null hypothesis can be rejected. There is a strong relationship between the age column and the target column. Now, we have other parameters like null deviance and residual deviance.

Oscar-Winning VFX House Backs Two New ML Research Fellowships


Oscar-winning creative studio Framestore and Bournemouth University are seeking two research fellows to help drive forward the future of visual effects. Joining the Faculty of Media and Communications' Centre for Applied Creative Technologies (CfACTs) and gaining access to Framestore's world-leading teams, tech and software, the selected candidates will embark on two-year research programmes to help solve key problems facing the VFX industry. Manne Öhrström, Framestore's Global Head of Software VFX, said: "Framestore's Technology & Research Team comprises a diverse melting pot of computer scientists, engineers and physicists who are always striving for innovative solutions to take the company's work to the next level. This is a group of gifted technologists wholly focused on the industry's future, and the work they do impacts every aspect of Framestore's business. The potential for using machine learning in areas like lighting and rendering is huge, and we can't wait to welcome two new research fellows to the team – we're sure that their work will prove absolutely invaluable."

Machine Learning Engineer - HBO Max - Find Jobs - Warner Bros. Careers


Company OverviewWarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Business Unit OverviewHBO Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive HBO Max Originals and iconic entertainment brands thrive, with HBO, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies and specials for audiences of all ages. HBO Max launched in the US in May 2020 and is scheduled to be in an additional 60 markets this year, launching in Latin America in June and followed by upgrades of HBO-branded streaming services in Europe.

OpenAI shuts down robotics team because it doesn't have enough data yet


In brief OpenAI has disbanded its AI robotics team and is no longer trying to apply machine learning to physical machines. Wojciech Zaremba, co-founder of OpenAI, who led the robotics group confirmed that the company recently broke up the team to focus working on more promising areas of artificial general intelligence research. "Here's a reveal ... as of recently we changed the focus at OpenAI, and I actually disbanded the robotics team," he said during an episode of the Weights & Biases podcast. Zaremba said a lack of training data was holding the robotics research back: there wasn't enough information on hand to teach the systems to the level of intelligence desired. "From the perspective of what we want to achieve, which is to build AGI, I think there was actually some components missing," he added.

Hungryroot delivers AI-powered grocery experience


All the sessions from Transform 2021 are available on-demand now. Hungryroot, an AI-powered delivery service, hopes to occupy a similar niche for online groceries in the United States. The recommender system uses a collaborative filtering, supervised learning model to match consumer preferences to foods. Customers answer questions about their dietary habits, the kinds of foods they (and family members) like, the family size, budget, and more. On a weekly basis, the Hungryroot algorithm predicts the groceries the customer might like.

Senior Data Scientist - Advertising


We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we're paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify. We are looking for a Data Scientist to join Spotify's Advertising Business Unit. The Advertising Business Unit is responsible for the success of Spotify's freemium business model that allows us to deliver an amazing free experience to more than 200 million users worldwide.

How AI is Transforming Music Composition -- Xyonix, AI Consulting & Custom Solutions


The application of AI in creative spaces like music and art is not new, but recent years have seen a dramatic expanse in machine learning capabilities in music composition. AI is being used by researchers and startups to compose soundtracks and soundscapes, and to create original songs within the style of specific genres and artists. Just as work by writers regularly appears alongside robot authors in sports, financial, and other news, Human musical artists are increasingly sharing the stage with artificial intelligence.

The societal threat is terrifying, but deepfakes needn't provoke deep pessimism - The EE


There can be no doubt that the ability of AI to create fake multi-media content that is utterly convincing to humans represents a real and present threat to society, says Tim Winchcomb, head of technology strategy in wireless and digital services at Cambridge Consultants. The democratisation of manipulation techniques means that YouTubers already aspire to Hollywood-grade visual effects, while malicious individuals across the world stand ready to weaponise their synthetic realities. Yet all is not lost industry players are stepping up to meet the deepfakes challenge, convinced that a collaborative response will allow technology, and ultimately society, to prevail. The term deepfakes is a construct of deep learning essentially multi-layered neural networks and fake, which of course refers to misleading and usually harmful content that purports to represent reality. It can be particularly terrifying that these bogus moving and still images, audio or written text can be created in real-time.