A new self-reflection trend is casting a spell over TikTok as folks remind themselves that "it's very important" to follow their hearts. The latest craze follows a specific format, but the point is to ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
The three new species were found in Monterey Bay at depths ranging from 2 to 2.5 miles below the surface, researchers said. Getty / iStock Off the coast of Monterey Bay, California, researchers ...
Note: We have recently found that Dora-VAE can specify tokens of any length during inference, even if this length has not been seen during training. During inference, you could use a latent code ...
In their study, Diana et al. introduce a novel method for spike inference from calcium imaging data using a Monte Carlo-based approach, emphasizing the quantification of uncertainties in spike time ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
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What is AI inference and why is it important?
Futurum Group research director Ray Wang explains what AI inference is and more on 'Making Money.' Trump says he's removing Federal Reserve Gov. Lisa Cook, citing his administration’s allegations of ...
Abstract: In Monte Carlo-based Bayesian inference, it is important to generate samples from a target distribution, which are then used, e.g., to compute expectations with respect to the target ...
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