Archive for the ‘Artificial Intelligence’ Category

SECO invests in the Artificial Intelligence of Oro Networks – PRNewswire

Founded in 2018 by Ajay Malik, previously serving as executive manager in companies like Google, Cisco and author of several publications on the AI, Oro designs and develops Artificial Intelligence solutions which are made available on a Software-as-a-Service basis. Oro's solutions allow to rapidly connect and cloud manage any hardware for smart control, monitoring and display of actionable insights using machine learning, deep learning, predictive analytics and data mining. Thanks to Oro's real-time edge AI solution, any device can be turned into a cloud managed intelligent endpoint, and customized AI pipelines can be easily deployed on the data generated on the edge. A set of ready-made and personalized apps is also available for clients to monitor their key performance indicators in real time.

The acquisition of Oro represents a strategic transaction for SECO, allowing it to add an important building block to its Artificial Intelligence portfolio and strongly increasing the software's weight on the Group's offering: thanks to a wide capability to integrate high value-added services, Oro will enhance SECO's capacity to target software-first clients, with a particular reference to the US market. In this way, SECO also internalizes further competences to customize its Artificial Intelligence algorithms, while ensuring proximity to the US-based clients with a presence in the heart of the Silicon Valley.

The transaction will be completed through SECO's subsidiary SECO USA, Inc., which will control a newly-incorporated company ("SECO Mind US" or the "Newco") holding the assets of Oro.

"This transaction allows to further accelerate the adoption of CLEA on the US market. We are delighted to welcome Ajay Malik and his high profile team of managers and outstanding developers on board. Thanks to them, we acquire top-level capabilities to customize the last mile of CLEA with the Artificial Intelligence module. The integration with dynamic, cutting edge and complementary companies with respect to our business will be an accelerator of our development process that will be accompanied by a solid organic growth," Massimo Mauri, SECO CEO, said.

"Global AI market is predicted to snowball in the next few years, reaching more than $190 billion market value in 2025. With CLEA and ORO AI Suite, we will be able to do rapid enablement of AI in EDGE or CLOUD 25x to 100x times faster than alternative approaches!," said Ajay Malik, who will take the role of CEO of SECO Mind US after the closing.

The closing of the transaction is expected by the end of June 2021.

Description of SECO

SECO SpA, (IOT.MI), a company listed on the Italian Stock Exchange STAR segment, develops and manufactures cutting-edge technological solutions, from miniaturized computers to fully customized integrated systems combining hardware and software. SECO also offers Clea, an end-to-end IoT and AI software suite

For more information: http://www.seco.com/

Contact:Marco ParisiHead of Investor Relations+39 3394241605[emailprotected]

SOURCE SECO

https://www.seco.com

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SECO invests in the Artificial Intelligence of Oro Networks - PRNewswire

Wikipedia Uses Artificial Intelligence in These Amazing Ways – Analytics Insight

Wikipedia is a free online encyclopedia with open information that was built by a community of people known as Wikipedians. Anyone who has registered on the site can submit an article for publication; however, editing articles does not require registration. The name of the website is derived from the wiki, a server program that allows anyone to modify website content using their browser.

It has come to light that Wikipedia has decided to employ artificial intelligence to learn more about the issue its facing and consider possible solutions.

Here are some of the ways Wikipedia uses Artificial Intelligence:

1/ Wikipedia is an open-source online encyclopedia that anybody may contribute to. The non-profit website forever revolutionized the way we obtain information by crowdsourcing the building of an encyclopedia. Its one of the top 10 most-visited websites on the web. However, it is not without problems. Anyone with the ability to edit Wikipedia can inadvertently add false information.

Computer scientist Aaron Halfaker describes how Wikipedia recently began implementing an AI system he designed to detect vandalism and bogus edits on articles using machine learning it can identify common patterns in vandalous edits, such as a tendency for improper character spacing, according to a report for Wired.

On the one hand, this means less work for volunteers who monitor for suspicious changes, but Wikipedia expects the change will attract a flood of new editors.

Its all about lowering the entry hurdle. Because Wikipedia relies on crowdsourcing for its content, it must establish rigorous guidelines for who can make modifications to key documents in order to prevent vandalism. On the other hand, it discourages many people who have excellent intentions and sound information.

Hopefully, more people will be devoted to authentic content by having smarter AI identification of flawed items and modifications. When the policing machines are clever enough, Wikipedias regulations for newbies could be relaxed a little. Some will, however, be concerned about whether machines will ever become intelligent enough to replace a major number of human editors.

2/ To combat the trolls, the Wikimedia Foundation teamed up with Jigsaw (the tech incubator previously known as Google Ideas) on a research project called Detox, which uses machine learning to identify comments that may be personal assaults. This project is part of Jigsaws open-source AI mission to tackle abuse on social media sites and web forums.

3/ According to Forbes, a Google Brain team trained software on how to summarize information from online pages and generate Wikipedia-style articles. Text summary turns out to be more challenging than most of us imagined. The efforts of Google Brain to get a machine to summarize text are slightly better than past attempts, but there is still work to be done before a machine can write with the cadence and flair that humans can. It turns out that we arent quite ready to have a machine generate Wikipedia entries automatically, but work is continuing to get us there.

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Wikipedia Uses Artificial Intelligence in These Amazing Ways - Analytics Insight

Ministerial Conference on Media and Information Society: Artificial Intelligence-Intelligent Politics – Council of Europe

European ministers responsible for media and information society will meet to discuss action required to address the challenges to human rights brought by massive digitalisation in the media and information environment including the use of artificial intelligence and by the serious backsliding in the safety of journalists.

The ministers are expected to adopt a political declaration and four resolutions addressing issues such as the impact of AI products and processes on freedom of expression, the need for action to ensure transparency in the dissemination of news and combat disinformation, including in times of crisis, and more effective measures to improve the safety of journalists.

The conference is jointly organised by the Council of Europe and the Cypriot government. President of Cyprus Nicos Anastasiades, Council of Europes Secretary General Marija Pejinovi Buri, and Foreign Affairs Minister of Hungary Pter Szijjrt, representing the Hungarian Presidency of the Committee of Ministers, will speak at the opening. Keynote speakers will include Commissioner for Human Rights Dunja Mijatovi and European Commission Vice-President Vra Jourov.

The conference will be streamed live on the conference website.

An online press conference is scheduled around 1 p.m. on 11 June. A request for accreditation should be made before noon Wednesday 9 June (accreditation form). #COEminAImedia

Contact: Contact: Jaime Rodriguez, tel. +33 6 89 99 50 42

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Ministerial Conference on Media and Information Society: Artificial Intelligence-Intelligent Politics - Council of Europe

Artificial Intelligence Identifies Advanced Micro Devices Among Todays Top Buys – Forbes

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Although stocks on Thursday were struggling to continue this week's gains, more positive data showed that the economy is reopening faster than expected. The Dow Jones dropped 160 points, the S&P 500 declined 0.6%, and the Nasdaq NDAQ fell 0.8%. However, private job growth for May accelerated at its fastest pace in nearly a year, and jobless claims once again reached their lowest levels since the start of the pandemic. For investors looking to find the best opportunities, the deep learning algorithms at Q.ai have crunched the data to give you a set of Top Buys. Our Artificial Intelligence (AI) systems assessed each firm on parameters of Technicals, Growth, Low Volatility Momentum, and Quality Value to find the best Top Buys.

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Semiconductor giant Advanced Micro Devices AMD is our first Top Buy today. The stock was one of the biggest winners during 2020, and has had an up and down 2021 thus far as it confronts inflation risks and a semiconductor shortage. However, there is no denying how strongly this company has positioned itself in the industry. Our AI systems rated Advanced Micro Devices C in Technicals, A in Growth, C in Low Volatility Momentum, and C in Quality Value. The stock closed up 1.44% to $81.97 on volume of 35,168,000 vs its 10-day price average of $78.64 and its 22-day price average of $77.38, and is down 11.19% for the year. Revenue grew by 16.99% in the last fiscal year and grew by 76.4% over the last three fiscal years, Operating Income grew by 36.52% in the last fiscal year and grew by 314.41% over the last three fiscal years, and EPS grew by 15.41% in the last fiscal year and grew by 644.3% over the last three fiscal years. Revenue was $9763.0M in the last fiscal year compared to $496.0M three years ago, Operating Income was $1369.0M in the last fiscal year compared to $496.0M three years ago, EPS was $2.06 in the last fiscal year compared to $0.32 three years ago, and ROE was 57.48% in the last year compared to 36.2% three years ago. Forward 12M Revenue is expected to grow by 1.73% over the next 12 months, and the stock is trading with a Forward 12M P/E of 37.9.

Simple moving average of Advanced Micro Devices (AMD)

Cts Corp is todays second Top Buy. Cts Corp is a leading designer and manufacturer of sensors, actuators and electronic components for original equipment manufacturers in a variety of markets and industries. Our AI systems rated the company C in Technicals, B in Growth, B in Low Volatility Momentum, and B in Quality Value. The stock closed down 2.17% to $38.27 on volume of 351,816 vs its 10-day price average of $37.99 and its 22-day price average of $35.45, and is up 13.63% for the year. Revenue grew by 5.98% in the last fiscal year, Operating Income grew by 18.88% in the last fiscal year, and EPS grew by 23.72% in the last fiscal year. Revenue was $424.07M in the last fiscal year compared to $470.48M three years ago, Operating Income was $45.31M in the last fiscal year compared to $65.72M three years ago, EPS was $1.06 in the last fiscal year compared to $1.39 three years ago, and ROE was 8.37% in the last year compared to 12.89% three years ago. The stock is also trading with a Forward 12M P/E of 24.32.

Simple moving average of Cts Corp (CTS)

First American Financial Cp is our next Top Buy today. First American Financial operates as an insurance company, and provides title insurance and settlement services to the real estate and mortgage industries. Our AI systems rated the company C in Technicals, B in Growth, A in Low Volatility Momentum, and A in Quality Value. The stock closed down 0.97% to $64.25 on volume of 388,199 vs its 10-day price average of $64.74 and its 22-day price average of $65.33, and is up 25.59% for the year. Revenue grew by 8.65% in the last fiscal year and grew by 33.95% over the last three fiscal years, Operating Income grew by 22.99% in the last fiscal year and grew by 95.81% over the last three fiscal years, and EPS grew by 25.31% in the last fiscal year and grew by 84.23% over the last three fiscal years. Revenue was $7086.67M in the last fiscal year compared to $5747.84M three years ago, Operating Income was $1035.67M in the last fiscal year compared to $650.52M three years ago, EPS was $6.16 in the last fiscal year compared to $4.19 three years ago, and ROE was 14.99% in the last year compared to 13.17% three years ago. The stock is also trading with a Forward 12M P/E of 10.69.

Simple moving average of First American Financial Cp (FAF)

First Eagle Alternative Capital is our next Top Buy. First Eagle is a financial services company that offers investment management services, such as portfolio management, economic analysis, risk classification, value assessment, financial planning, and investment advisory services. Our AI systems rated the company C in Growth, B in Low Volatility Momentum, and B in Quality Value. The stock closed up 2.17% to $4.71 on volume of 137,202 vs its 10-day price average of $4.58 and its 22-day price average of $4.48, and is up 29.4% for the year. Operating Income grew by 0.07% in the last fiscal year, and EPS grew by -206.15% in the last fiscal year and grew by -482.17% over the last three fiscal years. Revenue was $29.77M in the last fiscal year compared to $66.94M three years ago, Operating Income was $23.22M in the last fiscal year compared to $51.91M three years ago, EPS was $(1.17) in the last fiscal year compared to $(0.32) three years ago, and ROE was (17.68%) in the last year compared to (3.31%) three years ago. Forward 12M Revenue is expected to grow by 4.79% over the next 12 months, and the stock is trading with a Forward 12M P/E of 11.63.

Simple moving average of First Eagle Alternative Capital (FCRD)

Skyworks Solutions Inc SWKS is todays final Top Buy. Skyworks is our second company on todays list involved in the semiconductor space, and engages in the design, development, and manufacture of proprietary semiconductor products. Our AI systems rated the company F in Technicals, A in Growth, B in Low Volatility Momentum, and A in Quality Value. The stock closed up 0.83% to $171.81 on volume of 973,540 vs its 10-day price average of $169.25 and its 22-day price average of $168.94, and is up 13.99% for the year. Revenue grew by 30.38% in the last fiscal year and grew by 13.12% over the last three fiscal years, Operating Income grew by 50.23% in the last fiscal year and grew by 5.72% over the last three fiscal years, and EPS grew by 50.5% in the last fiscal year and grew by 44.19% over the last three fiscal years. Revenue was $3355.7M in the last fiscal year compared to $3868.0M three years ago, Operating Income was $929.0M in the last fiscal year compared to $1320.1M three years ago, EPS was $4.8 in the last fiscal year compared to $5.01 three years ago, ROE was 19.67% in the last year compared to 22.5% three years ago. Trading with a Forward 12M P/E of 17.21.

Simple moving average of Skyworks Solutions Inc (SWKS)

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Artificial Intelligence Identifies Advanced Micro Devices Among Todays Top Buys - Forbes

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