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- AI Education market set to soar to $88.2 billion by 2032
AI Education market set to soar to $88.2 billion by 2032
1. AI Education market set to soar to $88.2 billion by 2032
The global AI Education market is witnessing significant growth, driven by factors such as personalized education, adaptive learning, virtual assistants, and smart tutoring. According to a report by Allied Market Research, the market, which generated $2.5 billion in 2022, is projected to soar to $88.2 billion by 2032.
AI-driven products and services in the education sector are revolutionizing the way educational materials are distributed, skills are assessed, and students are integrated. These platforms aim to enhance the learning process for both educators and students by integrating technologies like deep learning, machine learning, and natural language processing.
The COVID-19 pandemic has further underscored the importance of AI in education. The shift to online instruction necessitated by the pandemic led to a surge in the adoption of AI-driven learning resources, including computerized grading systems, intelligent teaching programs, and virtual classrooms. These resources have played a pivotal role in ensuring continuity in education during these challenging times.
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2. New AI tool predicts gene expression in single cells
A team of computer scientists and cell biologists at the University of Toronto has developed a new AI model called single cell generative pretrained transformer that can analyze single cell RNA sequencing data. The model can be fine-tuned to carry out a diverse range of tasks, including predicting the effects of manipulating specific genes and merging distinct batches of data together to reveal otherwise undetectable cell types.
scGPT was trained on single cell RNA sequencing data from more than 10.3 million blood and bone marrow cells, including more than 50 cell types. This allowed the model to learn fundamental links between the expression of genes within and across cells.
The team plans to continue working on scGPT and recently released an updated version that was trained on 33 million cells, including brain, blood, pancreas, lung, heart, kidney, cancer, and gut cells. Other foundational models similar to scGPT have been released, making it only a matter of time before it is known which, if any, gain traction in research.
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3. YouTube collaborates with record labels to set guidelines for AI-Created music
YouTube is partnering with record labels to establish rules for AI-generated music on its platform, including monetization opportunities for companies and creators. The platform plans to invest in its rights management system, Content ID, update policies on uploading manipulated content, and deploy generative AI tools to detect videos that violate its rules. "Generative AI systems may amplify current challenges like trademark and copyright abuse, misinformation, spam, and more," said YouTube CEO Neal Mohan.
As part of its plan, YouTube is partnering with Universal Music Group to create an AI music incubator, a group of musicians who will help gather insights on generative AI experiments and research. These artists include Anitta, Juanes, OneRepublic’s Ryan Tedder, the estate of Frank Sinatra, producer Rodney Jerkins aka Darkchild, and composer Max Richter.
YouTube has a history of hosting AI-generated content, including covers and original music. An AI-generated song, "Heart On My Sleeve," went viral on TikTok and was eventually taken down from YouTube after UMG, Drake's music label, issued a statement saying AI-generated songs violate copyright laws.
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4. AI-Generated art cannot be copyrighted, US judge rules
A federal judge has ruled that artificial intelligence cannot be granted copyright for art it generates, emphasizing that "human authorship is an essential part of a valid copyright claim." The decision came in a case brought by Stephen Thaler, who sought a copyright for an image titled "A Recent Entrance to Paradise," produced by a computer program he developed. Thaler's application was rejected by the US Copyright Office, which argued that the work lacked human authorship.
Thaler challenged the decision in the US District Court for the District of Columbia, arguing that AI should be acknowledged as an author where it otherwise meets authorship criteria, with any copyright ownership vesting in the AI's owner. However, Judge Beryl Howell denied Thaler's motion for summary judgment, granted the Copyright Office's motion, and ordered the case to be closed. Howell stated that "United States copyright law protects only works of human creation."
The ruling underscores the importance of human creativity in copyright law, even as new technologies emerge. Thaler pointed out that the Copyright Act does not define the word "author," but Howell wrote that the law's "authorship" requirement as presumptively being human rests on centuries of settled understanding.
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5. Moonware's AI 'Ground Traffic Control' software gains traction with early adopters
California-based tech start-up Moonware is developing an AI-powered software platform called Halo to automate ground operations at airports and vertiports. The platform uses real-time location data to automate task assignments and resource allocation, improving operational efficiencies that lead to flight schedule disruptions. "We're building the ecosystem to automate and optimize on-the-ground operations for airfields in real time," said company founder and CEO Javier Vidal.
Moonware plans to introduce autonomous ground vehicles that the Halo software can automatically deploy without the need for human oversight. In 2020, the company unveiled its concept for a self-driving, electrically powered aircraft tow tug that could transport both large airliners and smaller aircraft around airfields and vertiports.
The company has already secured its first airline customers and plans to enter service later this year. Moonware says Halo will launch with both passenger and cargo airlines, including "one of the largest European hub airlines." Although Moonware's first customers will be airlines, the technology can be applied to all sectors of aviation, including UAM and military operations.
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