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TikTok goes on AI music making and machine learning specialist hiring spree - Music Business Worldwide

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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.


Program Manager- AI/ML (telework options)

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Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. With revenues of $125M, and a staff of more than 630, Riverside Research provides high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. Riverside Research also supports advanced technical education and collaborates widely with university researchers. The company was formed from a respected research laboratory at Columbia University and has a current focus on technical areas including Radar systems, Optics and Photonics, Electromagnetics, Plasma physics, Geoint, Masint, Systems Engineering, and Modeling & Simulation. Riverside Research's open innovation R&D model encourages both internal and external collaboration to accelerate innovation, advance science, and expand market opportunities.


Using AI to Achieve Earlier Diagnosis of Pancreatic Cancer

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In this interview, we talk to Takayuki Baba from Fujitsu Research about ongoing research using artificial intelligence to achieve earlier diagnosis of pancreatic cancer. I am Takayuki Baba, and I am researching medical image diagnosis support technology as a "converging technology" that combines image analysis technology and medical science at Fujitsu Research. Converging technologies combine two or more different social sciences and technology areas to achieve a specific goal and represent a major focus of Fujitsu's R & D. Fujitsu Research has a track record in the research and development of technologies for the detection of multiple types of lesions on computed tomography (CT) images with AI and the retrieval of past CT images with a similar distribution of lesions, which are used in medical diagnostic imaging support technologies to help physicians make diagnoses. Fujitsu and the Southern Tohoku General Hospital have started joint research with Fujitsu Japan Limited and FCOM CORPORATION on AI technology for detecting pancreatic cancer from non-contrast CT images through FCOM, which has been supporting the medical system of Southern Tohoku General Hospital. The survival rate for pancreatic cancer is said to be low, as it is often found when it has already progressed to a state that is difficult to treat.


Career roadmap: Machine learning scientist

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Like machine learning engineers, machine learning scientists are in high demand in today's job market. That's because organizations are eager to adopt machine learning-powered tools to enhance the value of their data and analytics and add automation to processes. Amy Steier, principal machine learning scientist at the developer tools provider, Gretel.ai. Demand for machine learning technologies is on the rise, according to market research. Potential applications include customer segmentation and investment prediction in the financial services sector; image analytics, drug discovery and personalized treatment in healthcare; and inventory planning and cross-channel marketing in retail.


Artificial Intelligence in China

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China is a country that is known for its huge investments and ambitious plans. Last year it spent more than $250 billion in renewable energy alone. It is a country on the rise, and its citizens believe that the future belongs to them. China has made a great leap forward in artificial intelligence and it is not afraid to share its achievements with the rest of the world. In fact, it is quite the opposite: it sees AI as a way to improve all aspects of life, and it wants to share its technologies with the rest of the world, especially with its biggest trading partners, such as the USA.


Using artificial intelligence in health sciences education requires interdisciplinary collaboration and risk assessment

AIHub

Over the past five years, there has been an increase in research and development related to the use of artificial intelligence (AI) in health sciences education in fields such as medicine, nursing and occupational therapy. AI-enhanced technologies have been shown to have educational value and offer flexibility for students. For example, learning scenarios can be repeated and completed remotely, and educational experiences can be standardized. However, AI's applications in health sciences education need to be explored further. To better understand advances in research and applications of AI as a part of the education of health sciences students, we conducted a comprehensive literature review.


Russia's Artificial Intelligence Boom May Not Survive the War

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The last year was a busy one for Russia's military and civilian artificial intelligence efforts. Moscow poured money into research and development, and Russia's civil society debated the country's place in the larger AI ecosystem. But Vladimir Putin's invasion of Ukraine in February and the resulting sanctions have brought several of those efforts to a halt--and thrown into question just how many of its AI advancements Russia will be able to salvage and continue. Ever since Putin extolled the development of robotic combat systems in the new State Armaments Program in 2020, the Russian Ministry of Defense has been hyper-focused on AI. We have learned more about the Russian military's focus on AI in the past year thanks to several public revelations.


Artificial Intelligence (AI): 7 Roles To Prioritize Now - AI Summary

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As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML). With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies: Description: This role is responsible for improving business process automation technology based on metaphorical software robots (bots) or on artificial intelligence. AI is the single most powerful tool that organizations are using to make informed decisions, drive new lines of revenue, attract new customers, and optimize the costs of business operations. He or she prioritizes the research and development of optimization, statistical, and machine learning models, and takes to market new product capabilities to automate customers' business processes. The CDO builds enterprise intelligence and automation capabilities to ensure that pertinent data is available, reliable, consistent, accessible, secure, and timely to support the mission and activities.


Federal R&D investments serve as foundation for US becoming AI-ready

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The National Security Commission on Artificial Intelligence, in its final report to Congress and the Biden administration last year, warned artificial intelligence will soon become "weapons of first resort in future conflicts." That warning, as well as the commission's recommendation for the federal government to increase spending on basic research and development, remains urgent for the U.S. to remain AI-ready in the coming years, even though the commission no longer remains. The commission disbanded in October 2021, but many of its leading experts have shifted to a private-sector entity, the Special Competitive Studies Project (SCSP). The name stems from the Rockefeller Special Studies Project, launched in 1956 by Nelson Rockefeller and Henry Kissinger following the Soviet Union's launch of the satellite Sputnik. SCSP chief executive officer Ylli Bajraktari, NSCAI's former executive director, said Rockefeller and Kissinger saw their project as a way for the U.S. to further define its national objectives when it came to defense, security and foreign policy. "This is not the first time that we're seeing technology playing a critical role in great power competition," Bajraktari said.


Analytics Research Scientist

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STR develops advanced analytics to find connections, patterns, and threats in both structured and unstructured data. Our customers are overwhelmed with data and need effective methods to index and search for the information they need in extremely large datasets. Recent advances in graph analytics offer a compelling approach to addressing this need. How can AI be used to align entities from different data sources? What algorithms can be used to efficiently search very large graphs?