By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

It is remarkable that Raman spectra can, with the help of statistical inference, be used to predict cellular physiology and proteome composition. By making this possible, the work of Kamei et al. has ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

Meta starts addressing WhatsApp vulnerabilities that expose user metadata that allows adversaries to ‘fingerprint’ a device’s ...

New technology advancements and changing regulations are likely to herald significant changes in data privacy in the months ...

In the Post article, Levine and Stephanie Nguyen, former chief technologist at the FTC, warn that loyalty programs have ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Shareholders who filed the class action lawsuit developed a straightforward fraud theory: Ardelyx executives publicly discussed pursuing transitional Medicare reimbursement for XPHOZAH during a ...

Physicists uncover a universal limit on timekeeping precision, proving that anything from heartbeats to ocean waves can be a ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

A federal court ruling in the B. Riley Financial case shows how executives’ personal business relationships can trigger ...

A sheriff has granted decree of absolvitor in a dispute between two sisters over whether a letter dated seven years after their mother’s will had altered it to remove one of them from the will after ...