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Hey Edge Family, good morning! Happy Easter to everyone who celebrated yesterday! We’ve got the latest in AI ready for you let’s dive in.
The Breakdown
🚨 Latest Developments
Source: The Verge
Big Takeaway: Over the weekend, OpenAI introduced Voice Engine, a new technology that clones voices from a 15-second sample, currently in preview with no set public release date.
Voice Engine can generate voices that read text prompts in the original speaker's language or other languages, aimed for use in various industries.
OpenAI has been developing Voice Engine since late 2022, powering preset voices in its text-to-speech API and ChatGPT's Read Aloud feature, trained on licensed and publicly available data.
The Voice Engine model has powered ChatGPT's voice features and Spotify podcast dubbing, trained on a combination of licensed and publicly available data.
Should voice engine be released to the public? and why?
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Source: PYMNTS
Big Takeaway: Microsoft and OpenAI are reportedly planning a data center project, potentially costing up to $100 billion, which includes developing an AI supercomputer named "Stargate," set to launch in 2028.
The project aims to meet the growing demand for AI data centers capable of handling advanced tasks beyond traditional data centers' capabilities.
Microsoft is likely to finance the project for the U.S.-based supercomputer "Stargate." It would be the largest in a series planned for construction over the next six years.
The project involves a five-phase plan, with Stargate as the final phase and a smaller fourth-phase supercomputer for OpenAI expected around 2026. The third phase is currently underway.
🔎 Extra Insights
For his work in artificial intelligence, the U.K. government awarded DeepMind CEO and co-founder Demis Hassabis knighthood. This award recognizes Hassabis' pioneering work at DeepMind, including designing AI systems that beat the Go world champion.
Researchers at Google AI have launched AutoBNN, a framework that combines the ease of understanding of classical Bayesian time series models like Gaussian processes with the ability to grow and change as needed of neural networks. Simply put, AutoBNN is new machine learning framework that is free and open source to create advanced time series prediction models.
Researchers at Stanford Medicine and McMaster University have developed SyntheMol, a generative AI model that created structures and recipes for six new antibiotics designed to kill drug-resistant strains of the bacteria Acinetobacter baumannii. SyntheMol generated around 25,000 potential antibiotic compounds in under 9 hours.
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