Two Titanic Structures Hidden Deep Within the Earth Have Altered the Magnetic Field for Millions of Years
A team of geologists found for the first time evidence linking regions of low seismic velocity and the shape of the Earth’s magnetic field.
A team of geologists found for the first time evidence linking regions of low seismic velocity and the shape of the Earth’s magnetic field.
In a typical online meeting, humans don’t always wait politely for their turn to speak. They interrupt to express strong agreement, stay silent when they are unsure, and let their personalities shape the flow of the discussion. Yet, when artificial intelligence (AI) agents are programmed to debate or collaborate, they are usually forced into a …
Read more “AI agents debate more effectively when given personalities and the ability to interrupt”
Many people reported that the lora training sucks for z-image base. Less than 12 hours ago, someone on Bilibili claimed that he/she found the cause – unit 8 used by AdamW8bit optimizer. According to the author, you have to use FP8 optimizer for z-image base. The author pasted some comparisons in his/her post. One can …
When building machine learning models, training is only half the journey.
Marketing teams face major challenges creating campaigns in today’s digital environment. They must navigate through complex data analytics and rapidly changing consumer preferences to produce engaging, personalized content across multiple channels while maintaining brand consistency and working within tight deadlines. Using generative AI can streamline and accelerate the creative process while maintaining alignment with business …
During a hearing at the US Senate, Netflix co-CEO Ted Sarandos said the company is working with the US government on guardrails against more price hikes.
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90% of its design capacity.
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You have mastered model.
To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence design framework that is extensible and adaptable to diverse channel conditions and decoding strategies. Crucially, our method scales to code lengths up to 2048, making it suitable for use in standardization. Across all (N,K)(N, K)(N,K) configurations supported in 5G, our …
Read more “A Reinforcement Learning Based Universal Sequence Design for Polar Codes”