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Making AI Sing: An Interview With Verphoria On The Use Of Artificial Intelligence Within The Music Industry – Forbes

Verphoria, Founder and CEO of Hierarchy Music

In todays music industry, the separation between digital and analogue is almost impossible to determine. At the most basic level, the majority of todays music is crafted using highly intelligent software. However, at the cutting edge of AI and the music industry, innovators are continuously pushing the boundaries of human/machine collaboration in musical creation as well as business.

One such innovator is Vernica Serjilus, professionally as Verphoria, an American singer, record producer, songwriter, entrepreneur, and the Founder and CEO of Hierarchy Music. Hierarchy Music is a global music company that connects musicians globally with Grammy Award-winning, multi-platinum music services.

At the crux of Hierarchy Musics operations is data AI and back-end exposure which allow us to bring exposure to new artists, or existing artists and their brands, utilizing both Hierarchy Music and Hierarchy Medias back-end network.

I spoke with Verphoria about her background as a musician as well as her perspective on the future of AI in music.

How did you get your start in the music industry?

I started singing at the age of four and started record producing at the age of 10.

At the age of 19 I was discovered by Aton Ben Horin and Ethan Curtis, the co-owners of the Grammy Award-winning, multi-platinum Plush Recording Studios. At the age of 22, I was invited to record at Paramount Recording Studio and Neighborhood Watche by renowned engineer/mixer Andrew Drew Chavez where I continued to sharpen my skills in music.

My brand Verphoria gained popularity on Instagram and other social media platforms for Music which lead to making appearances at a number of red carpet events, such as those hosted by Maxim Magazine and Sports Illustrated. I gained the attention of Celebrity Director Chris Applebaum (who directed Rihannas Umbrella, Britney Spears, Kim Kardashian, Usher, Selena Gomez, Miley Cyrus, Demi Lovato, and Paris Hilton) who will be directing my music videos.

Who are your musical influences?

The biggest influences in my life are Michael Jackson, Rihanna, Britney Spears, Mariah Carey, Shakira, Wolfgang Mozart, and Beyonc.

Do you use data and AI in your music or in your broader career?

To create my compositions, I use a digital audio workstation (DAW, an electronic device or application software used for recording, editing and producing audio files) called Ableton Live which uses the AI plugin called Magenta Studio that allows me to experiment with open source machine learning tools.

This AI grants me the ability to create learning models for musical melodies, patterns, and rhythms by using a mathematical model.

Verphoria, Founder and CEO of Hierarchy Music

What are your thoughts on the recent quote from artist Grimes in which she states, Once theres actually AGI (Artificial General Intelligence), theyre gonna be so much better at making art than us.

I am going to disagree with that statement. AGI can be used to speed up the production of music, however, it cannot replace the emotion that comes from music produced by a human, nor can it recapitulate and evoke the emotional connection that musicians possess in the creation of their musical compositions.

Making good art is much more than following an algorithm, its the emotional aspect that makes it touch people.

How do you think AI and data are shaping the industry as a whole?

AI will definitely become a bigger and bigger part of the music industry as it will in every other industry. It is not yet perfect, and it may not ever be perfect on its own, but the use of AI helps to streamline many of the more laborious processes in music production.

Whether this is a good or bad thing is up for debate.

In my personal opinion it is best used as a collaboration tool, not something to make a whole record without the touch of a human. This article brings up a lot of interesting questions and concerns that we will have to deal with in the near future. Now is an exciting time to be in the music industry as we grapple with these problems.

How has data and AI helped you build your career?

AI and backend exposure has been instrumental in growing my personal brand Verphoria. Hierarchy Music and Hierarchy Medias data AI helped to grow my audience significantly by connecting my existing network to different network niches.

This helped in two main ways: it increased my exposure and helped me understand my audiences behavior.

The data gleaned from this process was invaluable in growing my brand relatively quickly compared to traditional methods.

What are issues in the music industry you think technology could help solve?

I believe a cloud-based DAW should be created so the music records being produced can be continuously saved and not lost if the computer or hard drive is stolen with unlimited amounts of data that can be stored.

How has technology made the business of being a musician easier? How has it made it more difficult?

The best thing about technology is that it has made becoming a musician more accessible to average people. With enough drive and the will to learn anyone can become a world-class musician. It has also made the technical aspects of making music easier. For example, we can make sure every note, melody, or rhythm is pitched and quantized correctly so there are no mistakes or flaws in the notes.

As for how it has made things more difficult? That is harder for me to answer.

Technology has been constantly evolving throughout my life, so to me it is second nature and is definitely not a problem, but for those people not as comfortable with the ever-changing nature of tech that can pose some difficulties.

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Making AI Sing: An Interview With Verphoria On The Use Of Artificial Intelligence Within The Music Industry - Forbes

Amazon’s Tactful Filtration of Skilled Artificial Intelligence Talents – Analytics Insight

Amazon conducts talent hunts every year to ensure a strong AI workforce

Amazon is an eCommerce and tech giant that leverages artificial intelligence to its best and thrives on digital transformation. It is evidently justified by its creative innovations such as Alexa. To continue the rich legacy of digital and AI solutions, Amazon hunts for the most talented skilled artisans in AI.

Amazon conducts talent hunts every year to ensure a strong AI workforce that ensures a steady yield of profit and returns on investment (ROI). One effective way Amazon follows to hires the most skilled and astute AI professionals is by taking classes in machine learning. The company believes that the authorities and seniors can teach the newcomers about machine learning, which they can master over few weeks. The training is provided in a way that the professionals are able to work diligently on cutting-edge projects after they are hired.

Amazon curates coursework that involves teaching Python to the new recruits. Python is a programming language, widely used by machine learning experts. The coursework also involves the teaching of rudimentary machine learning concepts such as statistical regression methods that are used for predicting product prices. However, these courses should not be confused with formal college courses.

The new recruits are also asked to take tests and work on forecasting models, which helps the recruiters to assess the progress and potential of the new recruits. This process of recruitment also helps Amazon to expand the pool of AI professionals.

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Amazon's Tactful Filtration of Skilled Artificial Intelligence Talents - Analytics Insight

Top NITs and IITs offering Artificial Intelligence Courses in 2021 – Analytics Insight

IIT Hyderabad is providing an M.Tech course of 2 years in Artificial Intelligence. The admission for this course is conducted in two modes: Mode R1 and Mode R2. For Mode R1, candidates must have a valid GATE score from subjects like CS/ST/MA/EE/EC. For Mode R2, candidates must have passed or in the final year of M.Ac/ B.Tech/ B.E with a minimum of 8.0 CGPA. The shortlisted candidates are declared based on the valid information in the application form. In Mode R1, candidates are selected as per the GATE score. In Mode R2, candidates are shortlisted as per academics qualifying marks secured in the qualifying exam.

IIT Delhi is offering a Ph.D. program in the school of artificial intelligence. It is also providing a 6 monthly course on artificial intelligence with a certificate. The program coordinators are Dr. Hariprasad Kodamana, a Ph.D. from IIT Bombay, Dr. Agam Gupta, a fellow of the Indian Institute of Management Calcutta (IIM Calcutta), and Dr. Manojkumar Ramteke, a Ph.D. from the Department of Chemical Engineering, IIT Kanpur. Participants of this course will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% points in each of the evaluation components and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% points in the evaluation components, but have a minimum attendance of 90% shall be awarded a participation certificate.

Career Accelerator is IIT Kanpurs flagship training and internship program in AI, IoT, Machine Learning, and Data Science. The Career Accelerator Program is conducted in two phases (30 days + 15 days) for an ideal learning experience.

The department of information technology, National Institute of Technology Karnataka Surathkal has decided to start a new course in Artificial Intelligence. The Academic Senate, Board of the Institute, and Ministry of Education have approved a new four-year B.Tech program in Artificial Intelligence for the coming academic year 2021-22. The admissions to the program will be through JEE (Main) score.

M.Tech in Data Analytics offered by the Department of Computer Applications is available at NIT, Trichy. The course seeks to present its students with a vast knowledge base and wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics. This programme is aimed at equipping students with the knowledge and familiarity of various tools that are necessary for big data analytics.

The E&ICT Academy at NIT Warangal has launched an online-only Post-Graduate Program in Machine Learning and AI in partnership with Edureka. The PG Program has been designed specifically for professionals who want to become experts in Machine Learning & AI or who want to transform their careers altogether. The program comprises 450 hours of intensive learning developed & curated by NIT Warangal faculty and leading Industry experts.

Indian Institute of Technology (IIT) Patna in collaboration with WileyNXT has launched a Post Graduate Certification Course in three key fields; i.e. Cybersecurity and Blockchain; AI & Machine Learning; and Big Data Engineering. The six-month online professional certification programs come with over 150 hours of learning, several capstone projects and real-world case studies, immersions at the campus, and masterclasses by top industry experts and business technology drivers in India. These are designed to drive IT professionals towards growth in career and salaries and enable them to learn cutting-edge technologies in-depth.

IIT Guwahati is set to offer a B.Tech course in Data Science and Artificial Intelligence for the 2021-22 academic session, and the admission process will be based on JEE score. IIT Guwahati has signed a Memorandum of Understanding (MoU) with the Mehta Family Foundation (MFF) USA to offer UG and PG courses in Data Science and Artificial Intelligence. As a part of this MoU, IIT Guwahati will set up the Mehta Family School of Data Science and Artificial Intelligence on its campus. The MoU was signed virtually by IIT Guwahati Director, TG Sitharam, and Rahul Mehta, CEO of Mehta Family Foundation, USA.

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Top NITs and IITs offering Artificial Intelligence Courses in 2021 - Analytics Insight

Avnet empowers the Artificial Intelligence ecosystem with its partners – Taiwan News

Jointly demonstrate innovative AI technologies and applications at the Avnet AI Cloud Exhibition

SINGAPORE - Media OutReach - 3 June 2021 - Leading global technology distributor and solutions provider Avnet Asia will host the "Avnet AI Cloud Exhibition", showcasing innovative technology, applications and solutions in artificial intelligence (AI) and machine learning together with its suppliers and partners. With the ability to quickly design, develop and deploy solutions, Avnet can meet the needs of a variety of application scenarios to accelerate the industrialization of artificial intelligence.

During this period, Avnet will also hold the "Avnet 2021 Artificial Intelligence Cloud Conference" on June 29, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation.

KS Lim, senior director of supplier management at Avnet Asia said, "MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

The virtual exhibition is divided into three sections: AI smart solution demonstration area, Avnet design service demonstration area, and a partner solution demonstration area. In the AI smart solution demonstration area, participants can learn about Avnet's various innovative technologies and industrial applications, including:

In the partner demonstration area, Avnet's suppliers and partners will also showcase their innovations:

From now till end July, visit http://avnet.mofyi.com/avnet_en/ to learn more about the artificial intelligence technologies, applications and solutions by Avnet and its partners.

As a leading global technology distributor and solutions provider, Avnet has served customers' evolving needs for an entire century. We support customers at each stage of a product's lifecycle, from idea to design and from prototype to production. Our unique position at the center of the technology value chain enables us to accelerate the design and supply stages of product development so customers can realize revenue faster. Decade after decade, Avnet helps its customers and suppliers around the world realize the transformative possibilities of technology. Learn more about Avnet at http://www.avnet.com.

#Avnet #AI #ArtificialIntelligence

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Avnet empowers the Artificial Intelligence ecosystem with its partners - Taiwan News

The UN needs to start regulating the Wild West of artificial intelligence – Business Standard

PRI GEN INT .MONTREAL FGN6 UN-ARTIFICIAL-INTELLIGENCE The United Nations needs to start regulating the Wild West' of artificial intelligence By Eleonore Fournier-Tombs, McGill University Montreal (Canada), Jun 1 (The Conversation) The European Commission recently published a proposal for a regulation on artificial intelligence (AI). This is the first document of its kind to attempt to tame the multi-tentacled beast that is artificial intelligence. The sun is starting to set on the Wild West days of artificial intelligence, writes Jeremy Kahn. He may have a point. When this regulation comes into effect, it will change the way that we conduct AI research and development. In the last few years of AI, there were few rules or regulations: if you could think it, you could build it. That is no longer the case, at least in the European Union. There is, however, a notable exception in the regulation, which is that is does not apply to international organisations like the United Nations. Naturally, the European Union does not have jurisdiction over the United Nations, which is governed by international law. The exclusion therefore does not come as a surprise, but does point to a gap in AI regulation. The United Nations therefore needs its own regulation for artificial intelligence, and urgently so. AI in the United Nations Artificial intelligence technologies have been used increasingly by the United Nations. Several research and development labs, including the Global Pulse Lab, the Jetson initiative by the UN High Commissioner for Refugees , UNICEF's Innovation Labs and the Centre for Humanitarian Data have focused their work on developing artificial intelligence solutions that would support the UN's mission, notably in terms of anticipating and responding to humanitarian crises. United Nations agencies have also used biometric identification to manage humanitarian logistics and refugee claims. The UNHCR developed a biometrics database which contained the information of 7.1 million refugees. The World Food Programme has also used biometric identification in aid distribution to refugees, coming under some criticism in 2019 for its use of this technology in Yemen. In parallel, the United Nations has partnered with private companies that provide analytical services. A notable example is the World Food Programme, which in 2019 signed a contract worth US$45 million with Palantir, an American firm specializing in data collection and artificial intelligence modelling. No oversight, regulation In 2014, the United States Bureau of Immigration and Customs Enforcement (ICE) awarded a US$20 billion-dollar contract to Palantir to track undocumented immigrants in the U.S., especially family members of children who had crossed the border alone. Several human rights watchdogs, including Amnesty International, have raised concerns about Palantir for human rights violations. Like most AI initiatives developed in recent years, this work has happened largely without regulatory oversight. There have been many attempts to set up ethical modes of operation, such as the Office for the Co-ordination of Humanitarian Affairs' Peer Review Framework, which sets out a method for overseeing the technical development and implementation of AI models. In the absence of regulation, however, tools such as these, without legal backing, are merely best practices with no means of enforcement. In the European Commission's AI regulation proposal, developers of high-risk systems must go through an authorization process before going to market, just like a new drug or car. They are required to put together a detailed package before the AI is available for use, involving a description of the models and data used, along with an explanation of how accuracy, privacy and discriminatory impacts will be addressed. The AI applications in question include biometric identification, categorisation and evaluation of the eligibility of people for public assistance benefits and services. They may also be used to dispatch of emergency first response services all of these are current uses of AI by the United Nations. Building trust Conversely, the lack of regulation at the United Nations can be considered a challenge for agencies seeking to adopt more effective and novel technologies. As such, many systems seem to have been developed and later abandoned without being integrated into actual decision-making systems. An example of this is the Jetson tool, which was developed by UNHCR to predict the arrival of internally displaced persons to refugee camps in Somalia. The tool does not appear to have been updated since 2019, and seems unlikely to transition into the humanitarian organization's operations. Unless, that is, it can be properly certified by a new regulatory system. Trust in AI is difficult to obtain, particularly in United Nations work, which is highly political and affects very vulnerable populations. The onus has largely been on data scientists to develop the credibility of their tools. A regulatory framework like the one proposed by the European Commission would take the pressure off data scientists in the humanitarian sector to individually justify their activities. Instead, agencies or research labs who wanted to develop an AI solution would work within a regulated system with built-in accountability. This would produce more effective, safer and more just applications and uses of AI technology. (The Conversation) AMS AMS 06011028 NNNN

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

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The UN needs to start regulating the Wild West of artificial intelligence - Business Standard