Background: Nonalcoholic Fatty Liver Disease (NAFLD) as a prevalent condition can significantly have health implications. Early detection and accurate grading of NAFLD are essential for effective mana...

After announcing the release of its newest flagship model family, GPT-5, OpenAI said the model will power all of ChatGPT, and that it will sunset the existing models in the chat platform. Op…

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Google Research has introduced Nested Learning and the 'Hope' architecture, a new ML paradigm designed to solve catastrophic forgetting and enable AI models to learn continually without erasing old…

The design of the PGTNet model, which predicts remaining time in business processes, is described in detail in this section. Event logs are initially transformed into a graph dataset using this method, in which nodes stand for event types and edges for "directly follows"—direct temporal links. One significant innovation is the inclusion of rich edge characteristics, which provide vital contextual information beyond simple connectivity by encapsulating temporal data (such as durations and timestamps) and system burden (number of active cases).

A team of physicists recently proposed a new material for neural network hardware 1 in which the interaction between neurons is conveyed by “spin waves” propagating through special waveguides, thus reducing energy dissipation. Introduction In previous issues, we saw that the transmission of a signal in the axon of a single neuron in a natural neural network occurs through a “virtual” movement of positive electrical charges, which can be modeled through the propagation of a soliton.

The Son Also Rises Over the House that Jack Built. “Dada?” Dada moves. Dada gives data. Dada? That cannot be. Where is the data? What is the answer? What is the question? So much chaff,…