Jensen says free ‘isn’t cheap enough’ to stand a chance against the green team in data center AI.
Category: robotics/AI – Page 445
An exploration of Frank Herbert’s implicit and explicit warnings against the unmitigated advancement and dependence on AI (Artificial Intelligence), while also examining how these fundamental concerns, leading to AI’s prohibition, consistently resonate throughout the series. One of its less explored, but equally compelling, elements is its commentary on the rise of artificial intelligence. Dune is set in the far future taking place in an interstellar empire that is devoid of thinking machines after a universal ban against computing technology that is made in the likeness of a human mind. The reasons behind this prohibition not only serve as a caution against the perils of artificial intelligence, but they also underscore broader warnings present throughout Herbert’s Dune books.
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Spotify presents Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.
In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base.
Join the discussion on this paper page.
The event showcased Artificial Intelligence, drones and other forms of innovative technology aimed at boosting the U.S. Military’s defenses.
Meta’s latest brainchild, Llama 3, is rewriting the rules of digital communication. This powerhouse AI model doesn’t just compete—it surpasses OpenAI’s GPT-4 and Google’s Gemini. Brace yourself for enhanced responsiveness, multimodal magic, and a dash of ethical finesse.
Under Zuckerberg’s visionary helm, Llama 3 dances with context, reads between the lines and delivers nuanced interactions across platforms. It’s not just about AI; it’s about redefining how we connect. 🚀🤖
https://www.reuters.com/technology/me…
https://www.theverge.com/2024/2/28/24…
#artificialintelligence #ai #meta #llama #artificialgeneralintelligence
Some researchers see superhuman qualities in artificial intelligence. All scientists need to be alert to the risks this creates.
A team of researchers from Peking University and the Eastern Institute of Technology (EIT) in China has developed a new framework to train machine learning models with prior knowledge, such as the laws of physics or mathematical logic, alongside data.
Chinese researchers are on the brink of pioneering a groundbreaking approach to developing ‘AI scientists capable of conducting experiments and solving scientific problems.
Recent advances in deep learning models have revolutionized scientific research, but current models still struggle to simulate real-world physics interactions accurately.
Erasing key information during training allows machine learning models to learn new languages faster and more easily.
“Without a fundamental understanding of the world, a model is essentially an animation rather than a simulation,” said Chen Yuntian, study author and a professor at the Eastern Institute of Technology (EIT).
Deep learning models are generally trained using data and not prior knowledge, which can include things such as the laws of physics or mathematical logic, according to the paper.
But the scientists from Peking University and EIT wrote that when training the models, prior knowledge could be used alongside data to make them more accurate, creating “informed machine learning” models capable of incorporating this knowledge into their output.